A genetic model of substrate deprivation therapy for a glycosphingolipid storage disorder. (1/26926)

Inherited defects in the degradation of glycosphingolipids (GSLs) cause a group of severe diseases known as GSL storage disorders. There are currently no effective treatments for the majority of these disorders. We have explored a new treatment paradigm, substrate deprivation therapy, by constructing a genetic model in mice. Sandhoff's disease mice, which abnormally accumulate GSLs, were bred with mice that were blocked in their synthesis of GSLs. The mice with simultaneous defects in GSL synthesis and degradation no longer accumulated GSLs, had improved neurologic function, and had a much longer life span. However, these mice eventually developed a late-onset neurologic disease because of accumulation of another class of substrate, oligosaccharides. The results support the validity of the substrate deprivation therapy and also highlight some limitations.  (+info)

A computational screen for methylation guide snoRNAs in yeast. (2/26926)

Small nucleolar RNAs (snoRNAs) are required for ribose 2'-O-methylation of eukaryotic ribosomal RNA. Many of the genes for this snoRNA family have remained unidentified in Saccharomyces cerevisiae, despite the availability of a complete genome sequence. Probabilistic modeling methods akin to those used in speech recognition and computational linguistics were used to computationally screen the yeast genome and identify 22 methylation guide snoRNAs, snR50 to snR71. Gene disruptions and other experimental characterization confirmed their methylation guide function. In total, 51 of the 55 ribose methylated sites in yeast ribosomal RNA were assigned to 41 different guide snoRNAs.  (+info)

Familial antiphospholipid antibody syndrome: criteria for disease and evidence for autosomal dominant inheritance. (3/26926)

OBJECTIVE: To develop diagnostic criteria for a familial form of antiphospholipid antibody syndrome (APS), identify families with >1 affected member, examine possible modes of inheritance, and determine linkage to potential candidate genes. METHODS: Family members of probands with primary APS were analyzed for clinical and laboratory abnormalities associated with APS. Families with > or =2 affected members were analyzed by segregation analysis and typed for candidate genetic markers. RESULTS: Seven families were identified. Thirty of 101 family members met diagnostic criteria for APS. Segregation studies rejected both environmental and autosomal recessive models, and the data were best fit by either a dominant or codominant model. Linkage analysis showed independent segregation of APS and several candidate genes. CONCLUSION: Clinical and laboratory criteria are essential to identify the spectrum of disease associated with APS. We believe a set of criteria was developed that can precisely define affected family members with APS. Modeling studies utilizing these criteria strongly support a genetic basis for disease in families with APS and suggest that a susceptibility gene is inherited in an autosomal dominant pattern. However, in these families, APS was not linked with HLA, Fas, or other candidate genes, including beta2-glycoprotein 1, HLA, T cell receptor beta chain, Ig heavy chain, antithrombin III, Fas ligand, factor V, complement factor H, IgK, and Fas.  (+info)

Telomere length dynamics and chromosomal instability in cells derived from telomerase null mice. (4/26926)

To study the effect of continued telomere shortening on chromosome stability, we have analyzed the telomere length of two individual chromosomes (chromosomes 2 and 11) in fibroblasts derived from wild-type mice and from mice lacking the mouse telomerase RNA (mTER) gene using quantitative fluorescence in situ hybridization. Telomere length at both chromosomes decreased with increasing generations of mTER-/- mice. At the 6th mouse generation, this telomere shortening resulted in significantly shorter chromosome 2 telomeres than the average telomere length of all chromosomes. Interestingly, the most frequent fusions found in mTER-/- cells were homologous fusions involving chromosome 2. Immortal cultures derived from the primary mTER-/- cells showed a dramatic accumulation of fusions and translocations, revealing that continued growth in the absence of telomerase is a potent inducer of chromosomal instability. Chromosomes 2 and 11 were frequently involved in these abnormalities suggesting that, in the absence of telomerase, chromosomal instability is determined in part by chromosome-specific telomere length. At various points during the growth of the immortal mTER-/- cells, telomere length was stabilized in a chromosome-specific man-ner. This telomere-maintenance in the absence of telomerase could provide the basis for the ability of mTER-/- cells to grow indefinitely and form tumors.  (+info)

Plasmid replication initiator protein RepD increases the processivity of PcrA DNA helicase. (5/26926)

The replication initiator protein RepD encoded by the Staphylococcus chloramphenicol resistance plasmid pC221 stimulates the helicase activity of the Bacillus stearothermophilus PcrA DNA helicase in vitro. This stimulatory effect seems to be specific for PcrA and differs from the stimulatory effect of the Escherichia coli ribosomal protein L3. Whereas L3 stimulates the PcrA helicase activity by promoting co-operative PcrA binding onto its DNA substrate, RepD stimulates the PcrA helicase activity by increasing the processivity of the enzyme and enables PcrA to displace DNA from a nicked substrate. The implication of these results is that PcrA is the helicase recruited into the replisome by RepD during rolling circle replication of plasmids of the pT181 family.  (+info)

Transplacement mutagenesis: a novel in situ mutagenesis system using phage-plasmid recombination. (6/26926)

Site-specific mutagenesis provides the ability to alter DNA with precision so that the function of any given gene can be more fully understood. Several methods of in vitro mutagenesis are time-consuming and imprecise, requiring the subcloning and sequencing of products. Here we describe a rapid, high fidelity method of in situ mutagenesis in bacteriophage lambda using transplacement. Using this method, mutations are transferred from oligonucleotides to target phages using a plasmid interface. A small (50 bp) homology region bearing a centred point mutation is generated from oligonucleotides and subcloned into a transplacement plasmid bearing positive and negative phage selectable markers. Following a positive/negative selection cycle of integrative recombination and excision, the point mutation is transferred precisely from plasmid to phage in a subset ( approximately 25-50%) of recombinants. As the fidelity of both oligonucleotide synthesis and phage-plasmid recombination is great, this approach is extremely reliable. Using transplacement, point mutations can be accurately deposited within large phage clones and we demonstrate the utility of this technique in the construction of gene targeting vectors in bacteriophages.  (+info)

Rapid modification of bacterial artificial chromosomes by ET-recombination. (7/26926)

We present a method to modify bacterial artificial chromosomes (BACs) resident in their host strain. The method is based on homologous recombination by ET-cloning. We have successfully modified BACs at two distinct loci by recombination with a PCR product containing homology arms of 50 nt. The procedure we describe here is rapid, was found to work with high efficiency and should be applicable to any BAC modification desired.  (+info)

Amplification of cDNA ends based on template-switching effect and step-out PCR. (8/26926)

A new method for amplifying cDNA ends is described which requires only first-strand cDNA synthesis and a single PCR to generate a correct product with very low or no background. The method can be successfully applied to total RNA as well as poly A+ RNA. The same first-strand cDNA can be used to amplify flanking sequences of any cDNA species present in the sample.  (+info)

WFABC: a Wright-Fisher ABC-based approach for inferring effective population sizes and selection coefficients from time-sampled...WFABC: a Wright-Fisher ABC-based approach for inferring effective population sizes and selection coefficients from time-sampled...
With novel developments in sequencing technologies, time-sampled data are becoming more available and accessible. Naturally, there have been efforts in parallel to infer population genetic parameters from these data sets. Here, we compare and analyse four recent approaches based on the Wright-Fisher model for inferring selection coefficients (s) given effective population size (N-e), with simulated temporal data sets. Furthermore, we demonstrate the advantage of a recently proposed approximate Bayesian computation (ABC)-based method that is able to correctly infer genomewide average N-e from time-serial data, which is then set as a prior for inferring per-site selection coefficients accurately and precisely. We implement this ABC method in a new software and apply it to a classical time-serial data set of the medionigra genotype in the moth Panaxia dominula. We show that a recessive lethal model is the best explanation for the observed variation in allele frequency by implementing an estimator ...
https://infoscience.epfl.ch/record/205404
One-Locus Two-Allele Models With Maternal (Parental) Selection | GeneticsOne-Locus Two-Allele Models With Maternal (Parental) Selection | Genetics
Here I have studied a series of simple one-locus two-allele models for maternal (parental) selection. Srb et al. (1965, Chapter 11) give several examples for maternal effects that can be attributed to a single diallelic locus; see Wade (1996) for more discussion of the relevance of maternal effects controlled by a small number of loci with large effects. My results indicate similarity between dynamic behaviors under maternal selection and fertility selection. The latter is well-known to be much more complicated than the dynamics resulting from viability selection (e.g., Owen 1953; Bodmer 1965; Hadeler and Liberman 1975). I have shown that maternal selection can result in a simultaneous stability of equilibria of different types. Thus, in the presence of maternal (parental) selection, the outcome of population evolution can significantly depend on initial conditions. With maternal selection, genetic variability can be maintained in a population even if none of the offspring of heterozygous ...
http://www.genetics.org/content/149/2/1147
Multivariate mutation-selection balance with constrained pleiotropic effects. | GeneticsMultivariate mutation-selection balance with constrained pleiotropic effects. | Genetics
A multivariate quantitative genetic model is analyzed that is based on the assumption that the genetic variation at a locus j primarily influences an underlying physiological variable yj, while influence on the genotypic values is determined by a kind of developmental function which is not changed by mutations at this locus. Assuming additivity among loci the developmental function becomes a linear transformation of the underlying variables y onto the genotypic values x, x = By. In this way the pleiotropic effects become constrained by the structure of the B-matrix. The equilibrium variance under mutation-stabilizing selection balance in infinite and finite populations is derived by using the house of cards approximation. The results are compared to the predictions given by M. Turelli in 1985 for pleiotropic two-character models. It is shown that the B-matrix model gives the same results as Turellis five-allele model, suggesting that the crucial factor determining the equilibrium variance in ...
http://www.genetics.org/content/122/1/223
econometrics - Variance-Covariance Matrix of the errors of a linear regression - Cross Validatedeconometrics - Variance-Covariance Matrix of the errors of a linear regression - Cross Validated
Suppose you have 8 observations ($i=1,...,8$) from three different states (A, B, C) and you also know that observations for $i=1,2$ are from state A, for $i=3,4,5$ are from state B and for $i=6,7,8$ are from state C. You are trying to estimate parameters with a linear regression model where $\varepsilon_i$ is the error term. The assumptions on this error term are that: $E[\varepsilon_i]=0$, $V[\varepsilon]=\sigma^2$ and:. $$Cov[\varepsilon_i, \varepsilon_j]=\begin{cases} \sigma^2 \rho & \text{ if observation i comes from the same state of observation j} \\ 0 & \text{otherwise} \end{cases}$$. Now you have that:. $$\overline{\varepsilon_h}=\frac{1}{n_h} \sum_{i \in h} \varepsilon_i$$. where $h=A,B,C$. Im asked to compute the variance-covariance matrix of $\overline{\varepsilon}$ (notated $V[\overline{\varepsilon}]$) so Ive started to compute variances and covariances of $\overline{\varepsilon}$ for $h=A, \ B, \ C$.. ...
https://stats.stackexchange.com/questions/174269/variance-covariance-matrix-of-the-errors-of-a-linear-regression
Inferring bottlenecks from genome-wide samples of short sequence blocksInferring bottlenecks from genome-wide samples of short sequence blocks
The advent of the genomic era has necessitated the development of methods capable of analyzing large volumes of genomic data efficiently. Being able to reliably identify bottlenecks-extreme population size changes of short duration-not only is interesting in the context of speciation and extinction but also matters (as a null model) when inferring selection. Bottlenecks can be detected in polymorphism data via their distorting effect on the shape of the underlying genealogy. Here, we use the generating function of genealogies to derive the probability of mutational configurations in short sequence blocks under a simple bottleneck model. Given a large number of nonrecombining blocks, we can compute maximum-likelihood estimates of the time and strength of the bottleneck. Our method relies on a simple summary of the joint distribution of polymorphic sites. We extend the site frequency spectrum by counting mutations in frequency classes in short sequence blocks. Using linkage information over short ...
https://www.stir.ac.uk/research/hub/publication/21747
Frontiers | An efficient technique for Bayesian modeling of family data using the BUGS software | GeneticsFrontiers | An efficient technique for Bayesian modeling of family data using the BUGS software | Genetics
Linear mixed models have become a popular tool to analyze continuous data from family-based designs by using random effects that model the correlation of subjects from the same family. However, mixed models for family data are challenging to implement with the BUGS (Bayesian inference Using Gibbs Sampling) software because of the high-dimensional covariance matrix of the random effects. This paper describes an efficient parameterization that utilizes the singular value decomposition of the covariance matrix of random effects, includes the BUGS code for such implementation, and extends the parameterization to generalized linear mixed models. The implementation is evaluated using simulated data and an example from a large family-based study is presented with a comparison to other existing methods.
https://www.frontiersin.org/articles/10.3389/fgene.2014.00390/full
Back to Biology: Confounding, Bias, and Dichotomous Traits | heavytailedBack to Biology: Confounding, Bias, and Dichotomous Traits | heavytailed
(Update 6/2013 - Ive edited and extended this old post from 10/2012. I had begun writing a new related post, and decided the material was better placed within this one as an extension.) Two recent observations set me down a dark and lonely road, and they are unsurprisingly related. They both have to do with…
https://heavytailed.wordpress.com/2013/06/05/back-to-biology-confounding-bias-and-dichotomous-traits/
Non-genetic Inheritance and Evolution | Department of BiologyNon-genetic Inheritance and Evolution | Department of Biology
Everyone knows that parents provide more than DNA for their offspring. Development does, after all, start with an egg. But such non-genetic inheritance has been conspicuously absent from discussions of how evolution works. Similarly to plasticity, non-genetic inheritance evolves and can be an adaptation. For example, we could ask how parental and offspring plasticity co-evolve and if this enables non-genetic transmission of information between generations. We can also ask if incomplete epigenetic resetting between generations could ever be favoured by natural selection. We address some of these issues as part of an EU funded large collaborative project called IDEAL.. But non-genetic inheritance is more than an adaptation to transfer information between generations (or a cause of phenotypic variance that biases responses to selection as in many quantitative genetic models). We have suggested there are a number of important insights gained from viewing heredity as a developmental process; by ...
https://www.biology.lu.se/research/research-groups/experimental-evolution-ecology-and-behaviour/research-projects/non-genetic-inheritance-and-evolution
Heteroscedasticity-Corrected Covariance Matrices :: SAS/ETS(R) 12.1 Users GuideHeteroscedasticity-Corrected Covariance Matrices :: SAS/ETS(R) 12.1 Users Guide
The HCCME= option in the MODEL statement selects the type of heteroscedasticity-consistent covariance matrix. In the presence of heteroscedasticity, the covariance matrix has a complicated structure that can result in inefficiencies in the OLS estimates and biased estimates of the variance-covariance matrix. The variances for cross-sectional and time dummy variables and the covariances with or between the dummy variables are not corrected for heteroscedasticity in the one-way and two-way models. Whether or not HCCME is specified, they are the same. For the two-way models, the variance and the covariances for the intercept are not corrected.[1] Consider the simple linear model: ...
https://support.sas.com/documentation/cdl/en/etsug/65545/HTML/default/etsug_panel_details32.htm
Globally, unrelated protein sequences appear random : Bioinformatics - oi
Motivation: To test whether protein folding constraints and secondary structure sequence preferences significantly reduce the space of amino acid words in proteins, we compared the frequencies of four- and five-amino acid word clumps (independent words) in proteins to the frequencies predicted by four random sequence models.. Results: While the human proteome has many overrepresented word clumps, these words come from large protein families with biased compositions (e.g. Zn-fingers). In contrast, in a non-redundant sample of Pfam-AB, only 1% of four-amino acid word clumps (4.7% of 5mer words) are 2-fold overrepresented compared with our simplest random model [MC(0)], and 0.1% (4mers) to 0.5% (5mers) are 2-fold overrepresented compared with a window-shuffled random model. Using a false discovery rate q-value analysis, the number of exceptional four- or five-letter words in real proteins is similar to the number found when comparing words from one random model to another. Consensus overrepresented ...
http://oxfordindex.oup.com/view/10.1093/bioinformatics/btp660
Math::Random - Random Number Generators
When called in an array context, returns an array of $n deviates (each deviate being an array reference) generated from the multivariate normal distribution with mean vector @mean and variance-covariance matrix @covar. When called in a scalar context, generates and returns only one such deviate as an array reference, regardless of the value of $n. Argument restrictions: If the dimension of the deviate to be generated is p, @mean should be a length p array of real numbers. @covar should be a length p array of references to length p arrays of real numbers (i.e. a p by p matrix). Further, @covar should be a symmetric positive-definite matrix, although the Perl code does not check positive-definiteness, and the underlying C code assumes the matrix is symmetric. Given that the variance-covariance matrix is symmetric, it doesnt matter if the references refer to rows or columns. If a non-positive definite matrix is passed to the function, it will abort with the following message: ...
http://www.mathematik.uni-ulm.de/help/perl5/doc-5.005_03/Math/Random.html
Hardy-Weinberg Equilibrium According to Hoyle
1. Basic Genetics of Platypapyrus foursuitii Platypapyrus foursuitii is a diploid organism. One feature that makes the species particularly amenable for genetic studies is that their chromosomal material takes the form of playing cards and can easily be handled like cards. Each card represents alleles in the gene pool, and two cards together represent the genotype of an individual. A person can hold any number of different individual genotypes, depending on the sample size you want. For a class of 25, you can have a population size of 50 by giving each student four cards. Sample sizes much less than 50 can result in significant fluctuations due to sampling error. For 50 individuals, you will need 100 cards or two decks. 2. A one-locus, two-allele model (50 individual organisms in the population) These instructions assume 50 individuals in the population, each individual containing two cards. If you have 25 students, you can give each one two pairs to work with. If you have some other number, ...
http://www.accessexcellence.org/AE/AEPC/WWC/1995/hardyweinberg.html
Statistical Inference for the Measurement of the Incidence of Taxes and TransfersStatistical Inference for the Measurement of the Incidence of Taxes and Transfers
We establish the asymptotic sampling distribution of general functions of quantile-based estimators computed from samples that are not necessarily independent. The results provide the statistical framework within which to assess the progressivity of taxes and benefits, their horizontal inequity, and the change in the inequality of income which they cause. By the same token, these findings characterise the sampling distribution of a number of popular indices of progressivity, horizontal inequity, and redistribution. They can also be used to assess welfare and inequality changes using panel data, and to assess poverty when it depends on estimated population quantiles. We illustrate these results using micro data on the incidence of taxes and benefits in Canada.(This abstract was borrowed from another version of this item.)
https://ideas.repec.org/a/ecm/emetrp/v65y1997i6p1453-1466.html
Statistical Inference for the Measurement of the Incidences of Taxes and TransfersStatistical Inference for the Measurement of the Incidences of Taxes and Transfers
Downloadable! We establish the asymptotic sampling distribution of general functions of quantile-based estimators computed from samples that are not necessarily independent. The results provide the statistical framework within which to assess the progressivity of taxes and benefits, their horizontal inequity, and the change in the inequality of income which they cause. By the same token, these findings characterise the sampling distribution of a number of popular indices of progressivity, horizontal inequity, and redistribution. They can also be used to assess welfare and inequality changes using panel data, and to assess poverty when it depends on estimated population quantiles. We illustrate these results using micro data on the incidence of taxes and benefits in Canada.
https://ideas.repec.org/p/lvl/laeccr/9521.html
MODEL Statement :: SAS/STAT(R) 13.1 Users GuideMODEL Statement :: SAS/STAT(R) 13.1 Users Guide
controls the maximum number of additional iterations PROC MIXED performs to update the fixed-effects and covariance parameter estimates following data point removal. If you specify n > 0, then statistics such as DFFITS, MDFFITS, and the likelihood distances measure the impact of observation(s) on all aspects of the analysis. Typically, the influence will grow compared to values at ITER=0. In models without RANDOM or REPEATED effects, the ITER= option has no effect. This documentation refers to analyses when n > 0 simply as iterative influence analysis, even if final covariance parameter estimates can be updated in a single step (for example, when METHOD=MIVQUE0 or METHOD=TYPE3). This nomenclature reflects the fact that only if n > 0 are all model parameters updated, which can require additional iterations. If n > 0 and METHOD=REML (default) or METHOD=ML, the procedure updates fixed effects and variance-covariance parameters after removing the selected observations with additional Newton-Raphson ...
http://support.sas.com/documentation/cdl/en/statug/66859/HTML/default/statug_mixed_syntax10.htm
pr.probability - Random walk conditioned on sum and last step - MathOverflowpr.probability - Random walk conditioned on sum and last step - MathOverflow
This came up in the same project as Distribution of maximum of random walk conditioned to stay positive, which is certainly more standard. For this one, I completely dont know whether this is standard or difficult. Ive looked up some standard stuff (eg. on sequential sampling) where you have a boundary condition given by absorbing boundaries at $0$ and $a$, but the weighted sum seems to make things harder. Again, Id be very happy to learn that this is a standard thing with a good reference, or for advice as well as complete solutions. Any thoughts?. ...
https://mathoverflow.net/questions/122459/random-walk-conditioned-on-sum-and-last-step
DataCite SearchDataCite Search
The additive genetic variance-covariance matrix (G) summarizes the multivariate genetic relationships among a set of traits. The geometry of G describes the distribution of multivariate genetic variance, and generates genetic constraints that bias the direction of evolution. Determining if and how the multivariate genetic variance evolves has been limited by a number of analytical challenges in comparing G-matrices. Current methods for the comparison of G typically share several drawbacks: metrics that lack a direct relationship ...
https://search.datacite.org/works/10.5061/dryad.g860v
random $$ modelrandom $$ model
http://www.decisionsciencenews.com/2...-happens-next/ Code: // file c.c // cc -Wall -g c.c -o c #include|stdio.h| #include|stdlib.h| #inclu
http://forums.devshed.com/programming/978538-random-model-post2979018.html
AP Statistics Curriculum 2007 Infer 2Means Indep - Socr
Both the confidence intervals and the hypothesis testing methods in the independent-sample design require Normality of both samples. If the sample sizes are large (say ,50), Normality is not as critical, as the CLT implies the sampling distributions of the means are approximately Normal. If these parametric assumptions are invalid we must use a non-parametric (distribution free test), even if the latter is less powerful. The plots below indicate that Normal assumptions are not unreasonable for these data, and hence we may be justified in using the two independent sample T-test in this case. ...
http://wiki.stat.ucla.edu/socr/index.php?title=AP_Statistics_Curriculum_2007_Infer_2Means_Indep&diff=9519&oldid=8451
Evolution - A-Z - Random sampling
Even when natural selection is not operating, the gene frequencies may change a little from the previous generation just by chance. This can happen because the genes that form a new generation are a random sample from the parental generation.. Random sampling occurs whenever a smaller number of successful individuals (or gametes) are sampled from a larger pool of potential survivers and the fitnesses of the genotypes are the same. Random sampling works at every stage as a new generation grows up but it starts at conception. In every species, each individual produces many more gametes than will ever fertilize, or be fertilized, to form new organisms. The successful gametes which do form offspring are a sample from the many gametes that the parents produce. Provided the parent is a heterozygote, such as Aa, it will then produce a large number of gametes, of which approximately one half will be A and the other half a. If that parent produces 10 offspring, it is most likely that five will inherit an ...
http://www.blackwellpublishing.com/ridley/a-z/Random_sampling.asp
Fewer children mean longer life?Fewer children mean longer life?
New research into ageing processes, based on modern genetic techniques, confirms theoretical expectations about the correlation between reproduction and lifespan. Studies of birds reveal that those that have offspring later ...
https://medicalxpress.com/news/2013-03-children-longer-life.html
Various Consequences: The ShuffleVarious Consequences: The Shuffle
The shuffle, also known as the Fishers Exact Test, is a permutation test that can be used to estimate the sampling distribution of a statistic without relying on parametric assumptions. This is especially important when sample sizes are small. The other neat thing about permutation tests is that you dont have to know what the distribution of your statistic is. So if you have a really odd function of your data that you want to use rather than one of the classical statistics you can ...
http://www.variousconsequences.com/2008/10/shuffle.html
A response to Mooney & SokalA response to Mooney & Sokal
ive said this before, and ill say it again, a lot of it is purely reactive. race realists are not the only ones who say that race matters. when people make positive assertions about race based on social constructs which map onto to genetic correlations, that gets the ball rolling. finally, the quotation you are using has to be framed in the context of attempting to generate 100,000 year narratives. the fact that race is a fuzzy concept doesnt, to me, deny that it is more realistic than tracing human lineages 4,000 generations. an analogy would be if people attempted to trace races back 20,000 years, a problem that does crop up, and which falls under the same pitfalls as the issues i was bringing up. on the other hand, genetic correlations in the present generation are broken down (in general) by only small levels of deme-to-deme genetic exchange in most regions (e.g., given a modest number of genetic loci discrete clusters quickly emerge by populations which we a priori accept as ...
http://blogs.discovermagazine.com/gnxp/2007/02/a-response-to-mooney-sokal/
3D Genetic Models | TurboSquid3D Genetic Models | TurboSquid
3D genetic models for download, files in 3ds, max, c4d, maya, blend, obj, fbx with low poly, animated, rigged, game, and VR options.
https://www.turbosquid.com/Search/3D-Models/genetic
Plus itPlus it
Z is a measure of the magnitude of bias in the COR. If Z = 1, the case-only estimate of interaction is not biased by genotype-environment association in the underlying population (76). Commonly, this assumption is assessed in control data from a small number of outside studies, using significance testing. Significance testing alone is not sufficient for assessment of potential bias (87). Rarely is Z estimated and/or adjusted for, analogous to other forms of bias such as confounding.. Results from this project illustrate some of the pitfalls of this approach. For instance, for XRCC1 399 ever-never smoking, 18 of the 21 included studies have estimates that are not statistically significantly different than the null value of 1.0. Considering any of these in a statistical significance testing framework would lead to the conclusion that the independence assumption was valid; therefore a case-only study estimate of interaction would not be biased, at least from independence assumption violation. ...
http://cebp.aacrjournals.org/content/19/12/3055
regression - Assumptions of generalised linear model - Cross Validatedregression - Assumptions of generalised linear model - Cross Validated
Furthermore, #4 is an important thing to check, but I dont really think of it as an assumption per se. Lets think about how assumptions can be checked. Independence is often checked firstly by thinking about what the data stand for and how they were collected. In addition, it can be checked using things like a runs test, Durbin-Watson test, or examining the pattern of autocorrelations--you can also look at partial autocorrelations. (Note that, these can only be assessed relative to your continuous covariate.) With primarily categorical explanatory variables, homogeneity of variance can be checked by calculating the variance at each level of your factors. Having computed these, there are several tests used to check if they are about the same, primarily Levenes test, but also the Brown-Forsyth test. The $F_{max}$ test, also called Hartleys test is not recommended; if you would like a little more information about that I discuss it here. (Note that these tests can be applied to your ...
https://stats.stackexchange.com/questions/32285/assumptions-of-generalised-linear-model?noredirect=1
Terms of Service - Girlsside BoutiqueTerms of Service - Girlsside Boutique
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Cruise Offers Terms of Use | Cruise OffersCruise Offers Terms of Use | Cruise Offers
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https://cruiseoffers.com.au/info/terms-of-use/
Statistical ForumStatistical Forum
Due to limited precision, accuracy, and variability in ordinal outcomes, it behooves researchers to use either 5-point, 7-point, or higher level Likert scales. With more options, more unique variance can be accounted for the in the analysis and statistical power is increased. One-sampled tests possess more statistical power than other between-subjects statistics because there is only one group being analyzed, no other independent groups are included ...
https://www.scalelive.com/statistical-forum/category/onesample-median-tests
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Milestone gives Shefflin sense of real completion - Independent.ieMilestone gives Shefflin sense of real completion - Independent.ie
When all the characteristics that have made Henry Shefflin the most successful and greatest hurler of this or probably any generation are distilled into one moment, perhaps the first ex
https://www.independent.ie/sport/gaelic-games/hurling/milestone-gives-shefflin-sense-of-real-completion-30625401.html
Tips to Improve How You Conduct Corporate EventsTips to Improve How You Conduct Corporate Events
Times and generations are changing. As they say, change seems to be the only constant thing in this world. A business that doesn
https://www.kesselhaus.org/tips-to-improve-how-you-conduct-corporate-events/
May 2021 | BrokerCallsMay 2021 | BrokerCalls
How to Start Your Pay-Per-Call Business Are you interested in developing your own pay-per-call website? Pay-per-call lead generations are quickly… Read More ...
https://brokercalls.com/blog/2021/05/
0810.1018] A simple constant-probability RP reduction from NP to Parity P0810.1018] A simple constant-probability RP reduction from NP to Parity P
Abstract: The proof of Todas celebrated theorem that the polynomial hierarchy is contained in $¶^{# P}$ relies on the fact that, under mild technical conditions on the complexity class $C$, we have $\exists C \subset BP \cdot \oplus C$. More concretely, there is a randomized reduction which transforms nonempty sets and the empty set, respectively, into sets of odd or even size. The customary method is to invoke Valiants and Vaziranis randomized reduction from NP to UP, followed by amplification of the resulting success probability from $1/\poly(n)$ to a constant by combining the parities of $\poly(n)$ trials. Here we give a direct algebraic reduction which achieves constant success probability without the need for amplification. Our reduction is very simple, and its analysis relies on well-known properties of the Legendre symbol in finite fields ...
https://arxiv.org/abs/0810.1018
Chemical & Biological Detection ENPM808BChemical & Biological Detection ENPM808B
Approximate x*exp(-x) with Orthogonal Functions (Legendre Polynomials, Chebychev Polynomials, Bessel Functions) & Compare to Taylors Series ...
http://terpconnect.umd.edu/~nsw/enpm808b/enpm808b.htm
1-20chapter stats - What is the appropriate alternative hypothesis for1-20chapter stats - What is the appropriate alternative hypothesis for
View Notes - 1-20chapter stats from MGMT 2123 at HCCS. is B. Fail to reject the null hypothesis 78. In an effort to improve productivity in its factory, a firm recently instituted a training program
https://www.coursehero.com/file/8685510/What-is-the-appropriate-alternative-hypothesis-for-this-problem-A/
How environments work in R and what is lazy evaluation | R-bloggersHow environments work in R and what is lazy evaluation | R-bloggers
Knowledge of the way how R evaluates expressions is crucial to avoid hours of staring at the screen or hitting unexpected and difficult bugs. Well start with an example of an issue I came accross a few months ago when using the purrr::map function....
https://www.r-bloggers.com/2018/01/how-environments-work-in-r-and-what-is-lazy-evaluation/
DAILY STRUGGLES OF AN EARTHMOVER: April 2013
do cities stamp us as individuals? does each city direct us, mold our behaviour? do they brand us in a cohesive power? can a city diminish your sense of self ...
https://dailystrugglesofanearthmover.blogspot.com/2013/04/
A Couple More BioShock Infinite Screens | Rock, Paper, ShotgunA Couple More BioShock Infinite Screens | Rock, Paper, Shotgun
A couple of new BioShock Infinite screenshots have appeared out of GamesCom. Theres not much more to say than that, but you can see them below, and continue
https://www.rockpapershotgun.com/2010/08/18/a-couple-more-bioshock-infinite-screens/
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http://www.sport-trade.com.ua/catalog/brand=infinite-labs
Likelihoods and simulation methods for a class of nonneutral population genetics models. - Nuffield Department of MedicineLikelihoods and simulation methods for a class of nonneutral population genetics models. - Nuffield Department of Medicine
Methods for simulating samples and sample statistics, under mutation-selection-drift equilibrium for a class of nonneutral population genetics models, and for evaluating the likelihood surface, in selection and mutation parameters, are developed and applied for observed data. The methods apply to large populations in settings in which selection is weak, in the sense that selection intensities, like mutation rates, are of the order of the inverse of the population size. General diploid selection is allowed, but the approach is currently restricted to models, such as the infinite alleles model and certain K-models, in which the type of a mutant allele does not depend on the type of its progenitor allele. The simulation methods have considerable advantages over available alternatives. No other methods currently seem practicable for approximating likelihood surfaces.
https://ndm.medsci.ox.ac.uk/publications/49970
Serval - Statistical properties of population differentiation estimators under stepwise mutation in a finite island model.Serval - Statistical properties of population differentiation estimators under stepwise mutation in a finite island model.
Microsatellite loci mutate at an extremely high rate and are generally thought to evolve through a stepwise mutation model. Several differentiation statistics taking into account the particular mutation scheme of the microsatellite have been proposed. The most commonly used is R(ST) which is independent of the mutation rate under a generalized stepwise mutation model. F(ST) and R(ST) are commonly reported in the literature, but often differ widely. Here we compare their statistical performances using individual-based simulations of a finite island model. The simulations were run under different levels of gene flow, mutation rates, population number and sizes. In addition to the per locus statistical properties, we compare two ways of combining R(ST) over loci. Our simulations show that even under a strict stepwise mutation model, no statistic is best overall. All estimators suffer to different extents from large bias and variance. While R(ST) better reflects population differentiation
https://serval.unil.ch/en/notice/serval:BIB_E1CAC8C9DA6B
PLOS Genetics: On the Analysis of Genome-Wide Association Studies in Family-Based Designs: A Universal, Robust Analysis...PLOS Genetics: On the Analysis of Genome-Wide Association Studies in Family-Based Designs: A Universal, Robust Analysis...
Author Summary In genome-wide association studies, the multiple testing problem and confounding due to population stratification have been intractable issues. Family-based designs have considered only the transmission of genotypes from founder to nonfounder to prevent sensitivity to the population stratification, which leads to the loss of information. Here we propose a novel analysis approach that combines mutually independent FBAT and screening statistics in a robust way. The proposed method is more powerful than any other, while it preserves the complete robustness of family-based association tests, which only achieves much smaller power level. Furthermore, the proposed method is virtually as powerful as population-based approaches/designs, even in the absence of population stratification. By nature of the proposed method, it is always robust as long as FBAT is valid, and the proposed method achieves the optimal efficiency if our linear model for screening test reasonably explains the observed data
http://journals.plos.org/plosgenetics/article/comments?id=10.1371/journal.pgen.1000741&imageURI=info:doi/10.1371/journal.pgen.1000741.t005
DROPS - Evaluating Stationary Distribution of the Binary GA Markov Chain in Special CasesDROPS - Evaluating Stationary Distribution of the Binary GA Markov Chain in Special Cases
The evolutionary algorithm stochastic process is well-known to be Markovian. These have been under investigation in much of the theoretical evolutionary computing research. When mutation rate is positive, the Markov chain modeling an evolutionary algorithm is irreducible and, therefore, has a unique stationary distribution, yet, rather little is known about the stationary distribution. On the other hand, knowing the stationary distribution may provide some information about the expected times to hit optimum, assessment of the biases due to recombination and is of importance in population genetics to assess whats called a ``genetic load (see the introduction for more details). In this talk I will show how the quotient construction method can be exploited to derive rather explicit bounds on the ratios of the stationary distribution values of various subsets of the state space. In fact, some of the bounds obtained in the current work are expressed in terms of the parameters involved in all the ...
http://drops.dagstuhl.de/opus/volltexte/2008/1484/
Random regression models in the analysis of feed intake and body weight of individually fed beef bulls in South AfricaRandom regression models in the analysis of feed intake and body weight of individually fed beef bulls in South Africa
The objective of this study was to estimate genetic parameters for weekly body weight of feed intake of individually fed beef bulls at centralized testing stations in South Africa using random regression models (RRM). The model for cumulative feed intake included the fixed linear regression on third order orthogonal Legendre polynomials of the actual days on test (7, 14, 21, 28, 35, 42, 49, 56, 63, 70, 77 and 84 day) for starting age group and contemporary group effects. Random regressions on third order orthogonal Legendre polynomials were included for the additive genetic effect of the animal and the additional random effect of weaning-herd-year (WHY) and on fourth order for the additional random permanent environmental effect of the animal. The model for body weights included the fixed linear regression on fourth order orthogonal Legendre polynomials of the actual days on test for starting age group and contemporary group effects. Random regressions on fourth order orthogonal Legendre ...
http://ulspace.ul.ac.za/handle/10386/863?show=full
Slides7 v1 - Sampling Distributions Utku Suleymanoglu UMich Utku Suleymanoglu(UMich Sampling Distributions 1 21 Introduction...Slides7 v1 - Sampling Distributions Utku Suleymanoglu UMich Utku Suleymanoglu(UMich Sampling Distributions 1 21 Introduction...
View Notes - Slides7_v1 from ECON 404 at University of Michigan. Sampling Distributions Utku Suleymanoglu UMich Utku Suleymanoglu (UMich) Sampling Distributions 1 / 21 Introduction Population
https://www.coursehero.com/file/8998075/Slides7-v1/
Bayesian Comparisons of Codon Substitution Models - LIRMM - Laboratoire dInformatique, de Robotique et de Microélectronique de...
In 1994, Muse & Gaut (MG) and Goldman & Yang (GY) proposed evolutionary models that recognize the coding structure of the nucleotide sequences under study, by defining a Markovian substitution process with a state space consisting of the 61 sense codons (assuming the universal genetic code). Several variations and extensions to their models have since been proposed, but no general and flexible framework for contrasting the relative performance of alternative approaches has yet been applied. Here, we compute Bayes factors to evaluate the relative merit of several MG- and GY-style of codon substitution models, including recent extensions acknowledging heterogeneous nonsynonymous rates across sites, as well as selective effects inducing uneven amino acid or codon preferences. Our results on three real data sets support a logical model construction following the MG formulation, allowing for a flexible account of global amino acid or codon preferences, while maintaining distinct parameters governing overall
https://hal-lirmm.ccsd.cnrs.fr/lirmm-00324423
Conditional Approximate Bayesian Computation: A New Approach for Across-Site Dependency in High-Dimensional Mutation-Selection...Conditional Approximate Bayesian Computation: A New Approach for Across-Site Dependency in High-Dimensional Mutation-Selection...
A key question in molecular evolutionary biology concerns the relative roles of mutation and selection in shaping genomic data. Moreover, features of mutation and selection are heterogeneous along the genome and over time. Mechanistic codon substitution models based on the mutation-selection framework are promising approaches to separating these effects. In practice, however, several complications arise, since accounting for such heterogeneities often implies handling models of high dimensionality (e.g., amino acid preferences), or leads to across-site dependence (e.g., CpG hypermutability), making the likelihood function intractable. Approximate Bayesian Computation (ABC) could address this latter issue. Here, we propose a new approach, named Conditional ABC (CABC), which combines the sampling efficiency of MCMC and the flexibility of ABC. To illustrate the potential of the CABC approach, we apply it to the study of mammalian CpG hypermutability based on a new mutation-level parameter implying
https://hal.archives-ouvertes.fr/hal-02414599
Quantitative Genetics of Genomic Imprinting: A Comparison of Simple Variance Derivations, the Effects of Inbreeding, and...Quantitative Genetics of Genomic Imprinting: A Comparison of Simple Variance Derivations, the Effects of Inbreeding, and...
We have demonstrated that a simple one-locus two-allele model of genomic imprinting produces large differences in predictions for additive (Table 2) and dominance terms from a number of standard approaches for partitioning the genotypic value of an individual. These approaches are equivalent in the absence of imprinting under standard Mendelian expression (where heterozygotes have equivalent genotypic values and hence k1 = k2). Although all approaches give identical total genetic variance, there are differences in the partitioning of the genetic variance into additive, dominance and covariance terms (Table 3).. The major differences in the approaches arise due to differences in how breeding values and additive effects are defined. Approaches 1 and 2b incorporate both sex- and generation-dependent terms, and breeding values are equivalent for these approaches (Table 2). However, Approaches 2a and the regression methods (Approaches 3a and 3b) are unable to partition separate male and female terms. ...
https://www.g3journal.org/content/1/2/131
Likelihood methods to infer balancing selection under K-allele models /by Erkan Ozge Buzbas. :: Electronic Theses and...Likelihood methods to infer balancing selection under K-allele models /by Erkan Ozge Buzbas. :: Electronic Theses and...
A balanced pattern in the allele frequencies of polymorphic loci is a potential sign of selection, particularly of overdominance. Although this type of selection is of some interest in population genetics, there exist no likelihood based approaches specifically tailored to make inference on selection intensity. To fill this gap, we present likelihood methods to estimate selection intensity under k-allele models with overdominance.;The stationary distribution of allele frequencies under a variety of Wright-Fisher k-allele models with selection and parent independent mutation is well studied. However, the statistical properties of maximum likelihood estimates of parameters under these models are not well understood. We show that under each of these models, there is a point in data space which carries the strongest possible signal for selection, yet, at this point, the likelihood is unbounded. This result remains valid even if all of the mutation parameters are assumed to be known. Therefore, ...
http://digital.lib.uidaho.edu/cdm/ref/collection/etd/id/43/
4.2.2 - Sampling Distribution of the Sample Proportion | STAT 5004.2.2 - Sampling Distribution of the Sample Proportion | STAT 500
For this problem, we know $p=0.43$ and $n=50$. First, we should check our conditions for the sampling distribution of the sample proportion.. \(np=50(0.43)=21.5\) and \(n(1-p)=50(1-0.43)=28.5\) - both are greater than 5.. Since the conditions are satisfied, $\hat{p}$ will have a sampling distribution that is approximately normal with mean \(\mu=0.43\) and standard deviation [standard error] \(\sqrt{\dfrac{0.43(1-0.43)}{50}}\approx 0.07\).. \begin{align} P(0.45,\hat{p},0.5) &=P\left(\frac{0.45-0.43}{0.07}, \frac{\hat{p}-p}{\sqrt{\frac{p(1-p)}{n}}},\frac{0.5-0.43}{0.07}\right)\\ &\approx P\left(0.286,Z,1\right)\\ &=P(Z,1)-P(Z,0.286)\\ &=0.8413-0.6126\\ &=0.2287\end{align}. Therefore, if the true proportion of American who own an iPhone is 43%, then there would be a 22.87% chance that we would see a sample proportion between 45% and 50% when the sample size is 50.. ...
https://online.stat.psu.edu/stat500/lesson/4/4.2/4.2.2
Bayesian Variable Selection in Searching for Additive and Dominant Effects in Genome-Wide DataBayesian Variable Selection in Searching for Additive and Dominant Effects in Genome-Wide Data
Although complex diseases and traits are thought to have multifactorial genetic basis, the common methods in genome-wide association analyses test each variant for association independent of the others. This computational simplification may lead to reduced power to identify variants with small effect sizes and requires correcting for multiple hypothesis tests with complex relationships. However, advances in computational methods and increase in computational resources are enabling the computation of models that adhere more closely to the theory of multifactorial inheritance. Here, a Bayesian variable selection and model averaging approach is formulated for searching for additive and dominant genetic effects. The approach considers simultaneously all available variants for inclusion as predictors in a linear genotype-phenotype mapping and averages over the uncertainty in the variable selection. This leads to naturally interpretable summary quantities on the significances of the variants and their ...
https://aaltodoc.aalto.fi/handle/123456789/25443
Survival and Innovation: The role of mutational robustness in evolutionSurvival and Innovation: The role of mutational robustness in evolution
Biological systems are resistant to perturbations caused by the environment and by the intrinsic noise of the system. Robustness to mutations is a particular aspect of robustness in which the phenotype is resistant to genotypic variation. Mutational robustness has been linked to the ability of the system to generate heritable genetic variation (a property known as evolvability). It is known that greater robustness leads to increased evolvability. Therefore, mechanisms that increase mutational robustness fuel evolvability. Two such mechanisms, molecular chaperones and gene duplication, have been credited with enormous importance in generating functional diversity through the increase of systems robustness to mutational insults. However, the way in which such mechanisms regulate robustness remains largely uncharacterized. In this review, I provide evidence in support of the role of molecular chaperones and gene duplication in innovation. Specifically, I present evidence that these mechanisms ...
https://riunet.upv.es/handle/10251/68256
Haplotypes: the joint distribution of alleles at linked loci. - Lancaster EPrintsHaplotypes: the joint distribution of alleles at linked loci. - Lancaster EPrints
We prove a result concerning the joint distribution of alleles at linked loci on a chromosome drawn from the population at stationarity. For a neutral locus, the allele is a draw from the stationary distribution of the mutation process. Furthermore, this allele is independent of the alleles at different loci on any chromosomes in the population.. ...
https://eprints.lancs.ac.uk/id/eprint/9817/
Sampling Distributions in Statistics - Videos & Lessons | Study.comSampling Distributions in Statistics - Videos & Lessons | Study.com
Use our video lessons and quizzes to learn about sampling distributions. Each lesson breaks down a concept into bite-sized pieces to help you...
https://study.com/academy/topic/sampling-distributions-in-statistics.html
Information Processing: Epistasis and Complex TraitsInformation Processing: Epistasis and Complex Traits
Although research effort is being expended into determining the importance of epistasis and epistatic variance for complex traits, there is considerable controversy about their importance. Here we undertake an analysis for quantitative traits utilizing a range of multilocus quantitative genetic models and gene frequency distributions, focusing on the potential magnitude of the epistatic variance. All the epistatic terms involving a particular locus appear in its average effect, with the number of two-locus interaction terms increasing in proportion to the square of the number of loci and that of third order as the cube and so on. Hence multilocus epistasis makes substantial contributions to the additive variance and does not, per se, lead to large increases in the nonadditive part of the genotypic variance. Even though this proportion can be high where epistasis is antagonistic to direct effects, it reduces with multiple loci. As the magnitude of the epistatic variance depends critically on the ...
http://infoproc.blogspot.com/2016/02/epistasis-and-complex-traits.html
Allometrical growth of the quantitative characters of plants II. The inheritance of plant leaf shape and leaf size of tobacco
The dominant character of leaf size varies with different genetic models and leaf positions. In Model 1, the dominant characters of top and lower leaves are small size, but for the middle leaves it is large size. In Model 2, large size is dominant for three types of leaves. In Model 3, small size is dominant for the top and middle leaves, but recessive for lower leaves. In Model 4, small size is dominant in the top and lower leaves, but recessive in the middle leaves (Table 6). Therefore, we can not conclude and illustrate the inheritance of leaf size for tobacco leaves. Leaf size was determined by genetics and environment (Gurevitch, 1992); hence it may be suitable to illustrate the genetic mechanism for leaf size in a fixed position of single leaf, or increase the number of planted locations to increase the generational mean. This would allow us to estimate the effect of genetic-environmental interaction and understand the inheritance of leaf size.. Genetic Models and Inheritance of Leaf ...
http://ejournal.sinica.edu.tw/bbas/content/1997/3/bot383-10.html
Integrated Bayesian analysis of rare exonic variants to identify risk genes for schizophrenia and neurodevelopmental disorders ...Integrated Bayesian analysis of rare exonic variants to identify risk genes for schizophrenia and neurodevelopmental disorders ...
In this work, we built a pipeline, extTADA, for the integrated Bayesian analysis of DN mutations and rare CC variants to infer rare-variant genetic architecture parameters and identify risk genes. We applied extTADA to data available for SCZ and four other NDDs (Additional file 1: Figure S1).. The extTADA pipeline extTADA is based on previous work in autism sequencing studies, TADA [16, 31]. It conducts a full Bayesian analysis of a simple rare-variant genetic architecture model and it borrows information across all annotation categories and DN and CC samples in genetic parameter inference, which is critical for sparse rare-variant sequence data. Using MCMC, extTADA samples from the joint posterior density of risk-gene proportion and mean relative risk parameters, and provides gene-level disease-association BFs, PPs, and FDRs. We hope that extTADA (https://github.com/hoangtn/extTADA) will be generally useful for rare-variant analyses across complex traits. extTADA can be used for rare CC variant ...
https://genomemedicine.biomedcentral.com/articles/10.1186/s13073-017-0497-y
MLIP: using multiple processors to compute the posterior probability of linkageMLIP: using multiple processors to compute the posterior probability of linkage
Background: Localization of complex traits by genetic linkage analysis may involve exploration of a vast multidimensional parameter space. The posterior probability of linkage (PPL), a class of statistics for complex trait genetic mapping in humans, is designed to model the trait model complexity represented by the multidimensional parameter space in a mathematically rigorous fashion. However, the method requires the evaluation of integrals with no functional form, making it difficult to compute, and thus further test, develop and apply. This paper describes MLIP, a multiprocessor two-point genetic linkage analysis system that supports statistical calculations, such as the PPL, based on the full parameter space implicit in the linkage likelihood. Results: The fundamental question we address here is whether the use of additional processors effectively reduces total computation time for a PPL calculation. We use a variety of data - both simulated and real - to explore the question how close can ...
https://kb.osu.edu/handle/1811/47543
Browse by Authors and Editors - Nottingham ePrintsBrowse by Authors and Editors - Nottingham ePrints
Legendre, Thomas (2017) Blaise. The Moth, 31 (Winter). pp. 8-11. Legendre, Thomas (2017) Great falls. The Curlew, Populus . pp. 38-45. Legendre, Thomas (2017) John McEnroes omelet. Copper Nickel, 24 . Legendre, Thomas (2016) Ultraviolet. Superstition Review, 18 . ISSN 1938-324X Legendre, Thomas (2016) Tenure tracks. Columbia Journal . Legendre, Thomas (2016) Ghostly desires in Edith Whartons Miss Mary Pask. Journal of the Short Story in English . ISSN 1969-6108 (In Press) Legendre, Thomas (2011) Landscape-mindscape: writing in Scotlands prehistoric future. Scottish Literary Review, 3 (2). pp. 121-132. ISSN 1756-5634 ...
https://eprints.nottingham.ac.uk/view/people/Legendre=3AThomas=3A=3A.html
Bayes Factor with Lindley Paradox and Tow Standard Methods in ModelBayes Factor with Lindley Paradox and Tow Standard Methods in Model
For any statistical analysis, Model selection is necessary and required. In many cases of selection, Bayes factor is one of the important basic elements. For the unilateral hypothesis testing problem, we extend the harmony of frequency and Bayesian evidence to the generalized p-value of unilateral hypothesis testing problem, and study the harmony of generalized P-value and posterior probability of original hypothesis. For the problem of single point hypothesis testing, the posterior probability of the Bayes evidence under the traditional Bayes testing method, that is, the Bayes factor or the single point original hypothesis is established, is analyzed, a phenomenon known as the Lindley paradox, which is at odds with the classical frequency evidence of p-value. At this point, many statisticians have been worked for this from both frequentist and Bayesian perspective. In this paper, I am going to focus on Bayesian approach to model selection, starting from Bayes factors and going within Lindley Paradox,
https://scirp.org/journal/paperinformation.aspx?paperid=98250
Genetic Association with JMP Genomics, Part 3a: Marker Based Relationship MatrixGenetic Association with JMP Genomics, Part 3a: Marker Based Relationship Matrix
In JMP Genomics, the Relationship Matrix analysis is used for computing and displaying relatedness among lines. The Relationship Matrix tool estimates the relationships among the lines using marker data, rather than pedigree information (Kinship Matrix tool), and computes the relationship measures directly while also accounting for selection and genetic drift. The Relationship Matrix computes one of three options: Identity-by-Descent, Identity-by-State, or Allele-Sharing-Similarity. Output from this procedure can serve as the K matrix, representing familial relatedness, in a Q-K mixed model. This post will focus on the Relationship Matrix using a data set containing 343 rice lines with 8,336 markers.
https://community.jmp.com/t5/JMPer-Cable/Genetic-Association-with-JMP-Genomics-Part-3a-Marker-Based/ba-p/209111
Experimental Upper Bound and Theoretical Expectations for Parity-Violating Neutron Spin Rotation in He-4 | NISTExperimental Upper Bound and Theoretical Expectations for Parity-Violating Neutron Spin Rotation in He-4 | NIST
Neutron spin rotation is expected from quark-quark weak interactions in the Standard Model, which induce weak interactions among nucleons that violate parity.
https://www.nist.gov/publications/experimental-upper-bound-and-theoretical-expectations-parity-violating-neutron-spin
GES Breeding values - CRV4ALLGES Breeding values - CRV4ALL
Overview press publications with toplists of bulls. The file with breeding values of sire opens when clicking on download. The lists are sorted according to NVI with the exception of the beef merit index. Sire that are not included in the toplists can be found with the function Sire Search.. Information on the publication. For information about the publication, see News. The national toplists contains breeding values based on Dutch/Flemish daughter information. The Interbull toplists contains converted breeding values based on information from abroad. The genomic toplists contains breeding values based on pedigree information combined with genomic information. The combined toplists contains the top 500 bulls on NVI-base from the described list ...
https://www.crv4all.com/publications/ges-breeding-values/
Experimental Evolution, Ecology and Behaviour (EXEB): April 2011Experimental Evolution, Ecology and Behaviour (EXEB): April 2011
3. The last point we discussed, which is maybe the most interesting, is the issue of the infinitesimal model. The infinitesimal model, originated by Fisher, assumes that contributions to the genetic variance are additive, relatively small and coming from many loci. The multiplication of QTL studies and other genomic approaches this last years has led to numerous discussions questioning this model, assuming that the reason for the lack of evidence for phenotypic traits controlled by few loci was more or less technological. We have ourselves discussed this issue in this very blog including when studies about human height and some QTLs found to explain just a few percents of variation. Well in light of this article it seems that it is again the case in drosophila, as control for height is seems to be largely polygenic, and the estimates presented here are even a low estimate as the methodology used is quite conservative (polymorphisms with population frequencies under 10% were not even analyzed ...
https://exeblund.blogspot.com/2011/04/
Genome-wide inference of ancestral recombination graphsGenome-wide inference of ancestral recombination graphs
The complex correlation structure of a collection of orthologous DNA sequences is uniquely captured by the ancestral recombination graph (ARG), a complete record of coalescence and recombination events in the history of the sample. However, existing methods for ARG inference are computationally in …
https://pubmed.ncbi.nlm.nih.gov/24831947/?dopt=Abstract
Lahrouz, A. and Omari, L. (2013) Extinction and stationary distribution of a stochastic SIRS epidemic model with non-linear...Lahrouz, A. and Omari, L. (2013) Extinction and stationary distribution of a stochastic SIRS epidemic model with non-linear...
Lahrouz, A. and Omari, L. (2013) Extinction and stationary distribution of a stochastic SIRS epidemic model with non-linear incidence. Statistics & Probability Letters, 83, 960-968.
https://www.hanspub.org/reference/ReferencePapers.aspx?ReferenceID=83424&PaperID=13995
The Winnower | Using Bayes Factors to Get the Most out of Linear Regression: A Practical Guide Using RThe Winnower | Using Bayes Factors to Get the Most out of Linear Regression: A Practical Guide Using R
I started this guide with a problem that gives conventional statistics extreme difficulty but is strikingly simple for Bayesian analysis: Conventional statistics do not allow researchers to make claims about one of the models being tested (sometimes the only model). This inferential asymmetry is toxic to interpreting research results. Bayes factors solve the problem of inferential asymmetry by treating all models equally, and have many other benefits: 1) No penalty for optional stopping or multiple comparisons. Collect data until you feel like stopping or run out of money and make as many model comparisons as you like; 2) Bayes factors give directly interpretable outputs. A Bayes factor means the same thing whether n is 10 or 10,000, and whether we compared 2 or 20 models. A credible interval ranging from .38 to .94 means that we should believe with 95% certainty that the true value lies in that range. 3) Prior probability distributions allow researchers to intimately connect their theories to ...
https://thewinnower.com/papers/using-bayes-factors-to-get-the-most-out-of-linear-regression-a-practical-guide-using-r
Phylogenetic confidence intervals for the optimal trait valuePhylogenetic confidence intervals for the optimal trait value
We consider a stochastic evolutionary model for a phenotype developing amongst n related species with unknown phylogeny. The unknown tree ismodelled by a Yule process conditioned on n contemporary nodes. The trait value is assumed to evolve along lineages as an Ornstein-Uhlenbeck process. As a result, the trait values of the n species form a sample with dependent observations. We establish three limit theorems for the samplemean corresponding to three domains for the adaptation rate. In the case of fast adaptation, we show that for large n the normalized sample mean isapproximately normally distributed. Using these limit theorems, we develop novel confidence interval formulae for the optimal trait value.. ...
http://uu.diva-portal.org/smash/record.jsf?pid=diva2:781828
devfun2: Deviance Function in Terms of Standard... in lme4: Linear Mixed-Effects Models using Eigen and S4devfun2: Deviance Function in Terms of Standard... in lme4: Linear Mixed-Effects Models using Eigen and S4
The deviance is profiled with respect to the fixed-effects parameters but not with respect to sigma; that is, the function takes parameters for the variance-covariance parameters and for the residual standard deviation. The random-effects variance-covariance parameters are on the standard deviation/correlation scale, not the theta (Cholesky factor) scale.
https://rdrr.io/cran/lme4/man/devfun2.html
Modelling genetic data using Bayesian hierarchical models by Feng GuoModelling genetic data using Bayesian hierarchical models by Feng Guo
Populations diverge from each other as a result of evolutionary forces such as genetic drift, natural selection, mutation, and migration. For certain types of genetic markers, and for single-nucleotide polymorphisms (SNPs), in particular, it is reasonable to presume that genotypes at most loci are selectively neutral. Because demographic parameters (e.g. population size and migration rates) are common across all loci, locus-specific variation, which can be measured by Wrights FST, will depart from a common mean only for loci with unusually high/low rate of mutation or for loci closely associated with genomic regions having a substantial effect on fitness. We propose two alternative Bayesian hierarchical-beta models to estimate locus-specific effects on FST. To detect loci for which locus-specific effects are not well explained by the common FST, we use the Kullback-Leibler divergence measure (KLD) to measure the divergence between the posterior distributions of locus-specific effects and the common FST
http://opencommons.uconn.edu/dissertations/AAI3270962/
CiteSeerX - Citation Query On the Asymptotic Distribution of the Moran I Test Statistic with ApplicationsCiteSeerX - Citation Query On the Asymptotic Distribution of the Moran I Test Statistic with Applications
CiteSeerX - Scientific documents that cite the following paper: On the Asymptotic Distribution of the Moran I Test Statistic with Applications
http://citeseerx.ist.psu.edu/showciting?cid=5182150
Genetic AlgorithmsGenetic Algorithms
Genetic algorithms (GA) are a computational paradigm inspired by the mechanics of natural evolution, including survival of the fittest, reproduction, and mutation. Surprisingly, these mechanics can be used to solve (i.e. compute) a wide range of practical problems, including numeric problems. Concrete examples illustrate how to encode a problem for solution as a genetic algorithm, and help explain why genetic algorithms work. Genetic algorithms are a popular line of current research, and there are many references describing both the theory of genetic algorithms and their use in practical problem solving ...
https://www.cs.rochester.edu/users/faculty/nelson/courses/csc_173/genetic-algs/
Celebrate Mathematics Awareness MonthCelebrate Mathematics Awareness Month
Math has an impact on just about every aspect of our lives including some that we dont often think about. Math helped change the outcome of WWII, it also shows up in the way we drive our cars and the way we manage our finances. In celebration of Math Awareness Month, here are four TI-Nspire activities to use in your classes - whether you teach algebra, calculus or statistics. 1: German Tanks: Exploring Sampling Distributions. In this activity, your students will be challenged with the same problem the WWII Allies generals had: How do you determine how many German tanks there are? In WWII, the statisticians working for the Allies used sample statistics and sampling distributions to help determine the number of German tanks. Students explore different sample statistics and use simulation to develop a statistic that is effective in approximating the maximum number in a population. ...
https://education.ti.com/en/bulletinboard/2018/april/mathawarenessmonth
Statistics - (Probability|Sampling) Distribution [Gerardnico]Statistics - (Probability|Sampling) Distribution [Gerardnico]
Mode: for a discrete random variable, the value with highest probability (the location at which the probability mass function has its peak); for a continuous random variable, the location at which the probability density function has its peak ...
https://gerardnico.com/data_mining/distribution
SumHer better estimates the SNP heritability of complex traits from summary statistics | Meta
We present SumHer, software for estimating confounding bias, SNP heritability, enrichments of heritability and genetic correlations using summary statistics from genome-wide association studies. The key difference between SumHer and the existing software LD Score Regression (LDSC) is th...read more ...
https://www.meta.org/papers/sumher-better-estimates-the-snp-heritability-of/30510236
Mutation-Selection BalanceMutation-Selection Balance
An organisms genome is continually being alteredby mutations, the vast majority of which are harmful to the organism or its descendants, because they reduce the bearers viability or fertility
http://www.els.net/WileyCDA/ElsArticle/refId-a0001768.html
Phylogenetic estimation of context-dependent substitution rates by maximum likelihoodPhylogenetic estimation of context-dependent substitution rates by maximum likelihood
Nucleotide substitution in both coding and noncoding regions is context-dependent, in the sense that substitution rates depend on the identity of neighboring bases. Context-dependent substitution has been modeled in the case of two sequences and an unrooted phylogenetic tree, but it has only been ac …
https://pubmed.ncbi.nlm.nih.gov/14660683/
STUDIES IN RADAR CROSS-SECTIONS-II. THE ZEROS OF THE ASSOCIATED LEGENDRE FUNCTIONS PMN (MU PRIME) OF NON-INTEGRAL DEGREE.
This paper derives (by a new method) an equation due to Macdonald for determining the zeros of the associated Legendre functions of order m and non-integral degree n when the argument is close to -1. A closed form solution is obtained for the values of Q subscript n superscript m (mu) and Q subscript n superscript -m (mu) for mu close to 1. Certain observations are made concerning errors in a recently published article.(*RADAR CROSS SECTIONS
http://oai.dtic.mil/oai/oai?verb=getRecord&metadataPrefix=html&identifier=AD0660114
What Psychology Teachers Should Know About Open Science and the New Statistics - Introduction to the New StatisticsWhat Psychology Teachers Should Know About Open Science and the New Statistics - Introduction to the New Statistics
My main disagreement with the authors is over their use of confirmatory/exploratory as the distinction between analyses that have been planned, and preferably preregistered, and those that are exploratory. Its a vital distinction, of course, but confirmatory, while a traditional and widely-used term, does not capture well the intended meaning. Confirmatory vs exploratory probably originates with the two approaches to using factor analysis. It could make sense to follow an exploratory FA that identified a promising factor structure with a test of that now-prespecified structure with a new set of data. That second test might reasonably be labelled confirmatory of that structure, although the data could of course cast doubt on rather than confirm the FA model under test.. By contrast, a typical preregistered investigation, in which the research questions and the corresponding data analysis are fully planned, asks questions about the sizes of effects. It estimates effect sizes rather than seeks ...
https://thenewstatistics.com/itns/2020/03/03/what-psychology-teachers-should-know-about-open-science-and-the-new-statistics/
Genetic algorithmGenetic algorithm
doi:10.1016/S0304-3975(00)00406-0. Schmitt, Lothar M. (2004). "Theory of Genetic Algorithms II: models for genetic operators ... Genetic programming List of genetic algorithm applications Genetic algorithms in signal processing (a.k.a. particle filters) ... These less fit solutions ensure genetic diversity within the genetic pool of the parents and therefore ensure the genetic ... Skiena advises against genetic algorithms for any task: [I]t is quite unnatural to model applications in terms of genetic ...
https://en.wikipedia.org/wiki/Genetic_algorithm
Genetic studies on Gujarati peopleGenetic studies on Gujarati people
Thein, S. L.; Old, J. M.; Wainscoat, J. S.; Petrou, M.; Modell, B.; Weatherall, D. J. (1984-06-01). "Population and genetic ... The studies suggested that they are considerably hetero-genetic and have small genetic difference among them which is due to ... that this location may have been the origin of this genetic group. The genetic similarities between North Indians and Eastern ... They have some genetic commonalities as well as differences with other ethnic groups of India. According to a 2017 study by ...
https://en.wikipedia.org/wiki/Genetic_studies_on_Gujarati_people
List of genetic algorithm applicationsList of genetic algorithm applications
a tutorial on genetic particle models Joachim De Zutter Craig Aaen Stockdale (June 1, 2008). "A (r)evolution in Crime-fighting ... a tutorial on genetic particle models Hitoshi Iba, Sumitaka Akiba, Tetsuya Higuchi, Taisuke Sato: BUGS: A Bug-Based Search ... "an article on genetic particle models". Archived from the original on 2012-05-01. Retrieved 2011-12-29. Hill T, Lundgren A, ... "a review article on genetic particle models". Archived from the original on 2012-05-01. Retrieved 2011-12-29. "Feynman-Kac ...
https://en.wikipedia.org/wiki/List_of_genetic_algorithm_applications
Genetic distanceGenetic distance
McMaster University website on genetic distance Computing distance by stepwise genetic distance model, web pages of Bruce Walsh ... This has happened because different authors considered different evolutionary models. The most commonly used are Nei's genetic ... It assumes that genetic differences arise due to genetic drift only. One major advantage of this measure is that the ... Genetic distance is a measure of the genetic divergence between species or between populations within a species, whether the ...
https://en.wikipedia.org/wiki/Genetic_distance
Genetic loadGenetic load
This is not a problem within mathematical models of genetic load, or for empirical studies that compare the relative value of ... Haag, C. R.; Roze, D. (2007). "Genetic load in sexual and asexual diploids: segregation, dominance and genetic drift". Genetics ... genetic load in one setting to genetic load in another. Deleterious mutation load is the main contributing factor to genetic ... have more surviving offspring than the average individual from a population with a high genetic load. Genetic load can also be ...
https://en.wikipedia.org/wiki/Genetic_load
Selfish genetic elementSelfish genetic element
The gene's-eye view was a synthesis of the population genetic models of the modern synthesis, in particular the work of RA ... An important component of modeling these processes in natural populations is to consider the genetic response in the target ... Some selfish genetic elements manipulate the genetic transmission process to their own advantage, and so end up being ... First, sex and outcrossing put selfish genetic elements into new genetic lineages. In contrast, in a highly selfing or asexual ...
https://en.wikipedia.org/wiki/Selfish_genetic_element
Genetic driftGenetic drift
Mathematical models of genetic drift can be designed using either branching processes or a diffusion equation describing ... One important alternative source of stochasticity, perhaps more important than genetic drift, is genetic draft. Genetic draft ... which claims that most of the genetic changes are caused by genetic drift acting on neutral mutations. The role of genetic ... In practice, the Moran and Wright-Fisher models give qualitatively similar results, but genetic drift runs twice as fast in the ...
https://en.wikipedia.org/wiki/Genetic_drift
Genetic editingGenetic editing
The primary model and test case of German editions has been Johann Wolfgang von Goethe while in England and the United States ... Completed works of genetic editing are known as genetic editions. These documents are similar to documentary editions but it ... Genetic editing is strong in European, particularly French and German, textual scholarship. The German genetic editing, which ... genetic editing closely examines a single extant manuscript and traces back each aspect to cast light on the work. Genetic ...
https://en.wikipedia.org/wiki/Genetic_editing
Genetic testingGenetic testing
Taxonomy and Archetypes of Business Models in Direct-to-Consumer Genetic Testing". Journal of Medical Internet Research. 22 (1 ... Direct-to-consumer (DTC) genetic testing (also called at-home genetic testing) is a type of genetic test that is accessible ... Genetic testing is often done as part of a genetic consultation and as of mid-2008 there were more than 1,200 clinically ... Genetic testing can also include measuring the results of genetic changes, such as RNA analysis as an output of gene expression ...
https://en.wikipedia.org/wiki/Genetic_testing
Genetic assimilationGenetic assimilation
Eshel, I.; Matessi, C. (August 1998). "Canalization, genetic assimilation and preadaptation. A quantitative genetic model". ... Crispo defines genetic assimilation as a kind of genetic accommodation, "evolution in response to both genetically based and ... Genetic assimilation is a process described by Conrad H. Waddington by which a phenotype originally produced in response to an ... Perturbations can be genetic or epigenetic rather than environmental. For example, Drosophila fruit flies have a heat shock ...
https://en.wikipedia.org/wiki/Genetic_assimilation
Genetic demixingGenetic demixing
"Genetic demixing and evolution in linear stepping stone models". Reviews of Modern Physics. 82 (2): 1691-1718. arXiv:0904.4625 ... In biology, genetic demixing refers to a phenomenon in which an initial mixture of individuals with two or more distinct ...
https://en.wikipedia.org/wiki/Genetic_demixing
Genetic varianceGenetic variance
However, different models may give different estimates of genetic variances. They found that expected genetic variances usually ... In this research, the researchers use the different relationship models to compare estimates of genetic variance components and ... 3. Genetic variance-covariance (G) matrices conveniently summarize the genetic relationships among a suite of traits and are a ... ISSN 0962-1083 Legarra, Andres (2016). "Comparing estimates of genetic variance across different relationship models". ...
https://en.wikipedia.org/wiki/Genetic_variance
Mega2, the Manipulation Environment for Genetic AnalysisMega2, the Manipulation Environment for Genetic Analysis
Alcais A, Philippi A, Abel L (1999). "Genetic model-free linkage analysis using the maximum-likelihood- binomial method for ... Lathrop GM, Lalouel JM (1984). "Easy calculations of lod scores and genetic risks on small computers". Am J Hum Genet. 36 (2): ... Kong A, Cox NJ (1997). "Allele-sharing models: LOD scores and accurate linkage tests". Am J Hum Genet. 61 (5): 1179-1188. doi: ... Lange K, Papp JC, Sinsheimer JS, Sripracha R, Zhou H, Sobel EM (2013). "Mendel: the Swiss army knife of genetic analysis ...
https://en.wikipedia.org/wiki/Mega2,_the_Manipulation_Environment_for_Genetic_Analysis
Genetic correlationGenetic correlation
... models were introduced into behavioral genetics in the 1970s-1980s. Genetic correlations have applications ... A genetic correlation of 0 implies that the genetic effects on one trait are independent of the other, while a correlation of 1 ... A genetic correlation between two traits will tend to produce phenotypic correlations - e.g. the genetic correlation between ... The bivariate genetic correlation can be generalized to inferring genetic latent variable factors across > 2 traits using ...
https://en.wikipedia.org/wiki/Genetic_correlation
Genetic programmingGenetic programming
"Genetic Programming and Jominy Test Modeling". www.cs.bham.ac.uk. Retrieved 2018-05-20. Nichael L. Cramer "A Representation for ... Meta-genetic programming is the proposed meta-learning technique of evolving a genetic programming system using genetic ... "Genetic Programming". www.cs.bham.ac.uk. Retrieved 2018-05-19. "Genetic Programming and Data Structures: Genetic Programming + ... "Genetic Programming Theory and Practice". www.cs.bham.ac.uk. Retrieved 2018-05-20. "A Field Guide to Genetic Programming". www. ...
https://en.wikipedia.org/wiki/Genetic_programming
Genetic viabilityGenetic viability
ISBN 978-0-19-886229-1. Luo L, Zhang YM, Xu S (March 2005). "A quantitative genetics model for viability selection". Heredity. ... Higher genetic diversity and a larger population size will decrease the negative effects of genetic drift and inbreeding in a ... For long-term genetic viability, the population size should consist of enough breeding pairs to maintain genetic diversity. The ... The minimum viable population needed to maintain genetic viability is where the loss of genetic variation because of small ...
https://en.wikipedia.org/wiki/Genetic_viability
Genetic Algorithm for Rule Set ProductionGenetic Algorithm for Rule Set Production
... is a computer program based on genetic algorithm that creates ecological niche models for species. The generated models ... Environmental niche modelling Stockwell, D. R. B. 1999. Genetic algorithms II. Pages 123-144 in A. H. Fielding, editor. Machine ... A GARP model is a random set of mathematical rules which can be read as limiting environmental conditions. Each rule is ... The GARP modelling system: Problems and solutions to automated spatial prediction. International Journal of Geographic ...
https://en.wikipedia.org/wiki/Genetic_Algorithm_for_Rule_Set_Production
Genetic equilibriumGenetic equilibrium
However, genetic equilibrium-based modeling remains a tool in population and conservation genetics-it can provide invaluable ... The life history of marine organisms like sea urchins appear to fulfill the requirements of genetic equilibrium modeling better ... Kramer, Koen; van der Werf, D. C. (2010). "Equilibrium and non-equilibrium concepts in forest genetic modeling: population- and ... Because allelic dominance can disrupt predictions of equilibrium, some models have moved away from using genetic equilibrium as ...
https://en.wikipedia.org/wiki/Genetic_equilibrium
Genetic hitchhikingGenetic hitchhiking
Gillespie, John H. (2000). "Genetic Drift in an Infinite Population: The Pseudohitchhiking Model". Genetics. 155 (2): 909-919. ... Both genetic drift and genetic draft are random evolutionary processes, i.e. they act stochastically and in a way that is not ... Genetic hitchhiking, also called genetic draft or the hitchhiking effect, is when an allele changes frequency not because it ... Rice, WR (1987). "Genetic hitchhiking and the evolution of reduced genetic activity of the Y sex chromosome". Genetics. 116 (1 ...
https://en.wikipedia.org/wiki/Genetic_hitchhiking
Genetic discriminationGenetic discrimination
Emerging Models of Direct-to-Consumer Genetic Testing". Mayo Clinic Proceedings. 93 (1): 113-120. doi:10.1016/j.mayocp.2017.11. ... Genetic Discrimination is considered to have its foundations in genetic determinism and genetic essentialism, and is based on ... Direct-to-consumer genetic testing was first offered in 1997 by GeneTree, a now defunct family history website. A genetic test ... Genetic discrimination is illegal in the U.S. after passage of the Genetic Information Nondiscrimination Act (GINA) on May 21, ...
https://en.wikipedia.org/wiki/Genetic_discrimination
History of genetic engineeringHistory of genetic engineering
Genetic transformation has become very efficient in some model organisms. In 1998 genetically modified seeds were produced in ... Genetic engineering is the science of manipulating genetic material of an organism. The first artificial genetic modification ... Various genetic discoveries have been essential in the development of genetic engineering. Genetic inheritance was first ... The ability to insert, alter or remove genes in model organisms allowed scientists to study the genetic elements of human ...
https://en.wikipedia.org/wiki/History_of_genetic_engineering
Genetic and anthropometric studies on Japanese peopleGenetic and anthropometric studies on Japanese people
Hanihara also announced the theory "dual structure model" in English in 1991. According to Hanihara, modern Japanese lineages ... According to a study on genetic distance measurements from a large scale genetic study from 2021 titled 'Genomic insights into ... "Researchers discover Korean genetic roots in 7,700-year-old skull :: Korea.net : The official website of the Republic of Korea ... The study found that up to 71% of the ancient Kofun people shared a common genetic strand with the Han Chinese while the rest ...
https://en.wikipedia.org/wiki/Genetic_and_anthropometric_studies_on_Japanese_people
List of genetic disordersList of genetic disorders
"FBR Model for Genetic Tests,ACCE,Genetic Testing,Genomics,CDC". www.cdc.gov. Retrieved 2017-10-24. Langer LO, Cervenka J, ... "Congenital and Genetic Diseases , Genetic and Rare Diseases Information Center (GARD) - an NCATS Program". rarediseases.info. ... MEDNIK': A novel genetic syndrome". EurekAlert!. Retrieved 2017-10-24. "Hereditary disorder found in Que. families". CTV News. ... The following is a list of genetic disorders and if known, type of mutation and for the chromosome involved. Although the ...
https://en.wikipedia.org/wiki/List_of_genetic_disorders
Human genetic clusteringHuman genetic clustering
Models for genetic clustering also vary by algorithms and programs used to process the data. Most sophisticated methods for ... the latter variables can be used as a proxy for genetic ancestry where genetic data is unavailable. However, genetic variation ... Modern applications of genetic clustering methods to global-scale genetic data were first marked by studies associated with the ... Human genetic clustering refers to patterns of relative genetic similarity among human individuals and populations, as well as ...
https://en.wikipedia.org/wiki/Human_genetic_clustering
Agent-based modelAgent-based model
Helbing, Dirk (ed.). "Agent-Based Modeling". Social Self-Organization: 25-70. Holland, John H. (1992). "Genetic Algorithms". ... Agent-based models now complement traditional compartmental models, the usual type of epidemiological models. ABMs have been ... Building DREAM models allows model comparison across scientific disciplines. Validated agent-based modeling using Virtual ... but argued for the creation of a very large model that incorporates low level models. By modeling a complex system of analysts ...
https://en.wikipedia.org/wiki/Agent-based_model
Punctuated equilibriumPunctuated equilibrium
This model was popularized by Ernst Mayr in his 1954 paper "Change of genetic environment and evolution," and his classic ... Their paper built upon Ernst Mayr's model of geographic speciation, I. M. Lerner's theories of developmental and genetic ... Lerner, I.M. (1954). Genetic Homeostasis. New York, NY: John Wiley. Eldredge, Niles (1971). "The allopatric model and phylogeny ... According to Michael Benton, "it seems clear then that stasis is common, and that had not been predicted from modern genetic ...
https://en.wikipedia.org/wiki/Punctuated_equilibrium
Michael Wolf (statistician)Michael Wolf (statistician)
"Projection regression models for multivariate imaging phenotype". Genetic Epidemiology. 36 (6): 631-641. doi:10.1002/gepi.21658 ... Vibration-based damage diagnosis in a laboratory cable-stayed bridge model via an RCP-ARX model based method (PDF). Proceedings ... Markon, Kristian E. (February 2010). "Modeling psychopathology structure: a symptom-level analysis of Axis I and II disorders ... Articles on Subsampling Romano, Joseph P.; Wolf, Michael (September 2001). "Subsampling intervals in autoregressive models with ...
https://en.wikipedia.org/wiki/Michael_Wolf_(statistician)
Alex CarnerioAlex Carnerio
"Alex Carneiro Interview". Genetic War. Retrieved 13 September 2015. "Learn the secret to dropping body fat from IFBB pro Alex ... "Fitness Model Alex Carneiro Talks with Sixpackfactory.com". Sicpackfactory.com. Retrieved 13 September 2015. "Alex Carnerio". ... "Interview With Physique Athlete and Pro-Fitness Model Alex Carneiro". ManiacFitness. Retrieved 13 September 2015. "Personal ... "IFBB Pro and Fitness Model Alex Carneiro Talks to Directlyfitness.com". DirectlyFitness. Retrieved 13 September 2015. " ...
https://en.wikipedia.org/wiki/Alex_Carnerio
Regulation of genetic engineeringRegulation of genetic engineering
Smaller mammalians can be used as models in scientific research to represent other mammals. Used to develop innovative kinds of ... Review Committee on Genetic Manipulation (RCGM) and Genetic Engineering Approval Committee (GEAC). Brazil and Argentina are the ... The regulation of genetic engineering varies widely by country. Countries such as the United States, Canada, Lebanon and Egypt ... That data, along with data on the genetic modification itself and resulting proteins (or lack of protein), is submitted to ...
https://en.wikipedia.org/wiki/Regulation_of_genetic_engineering
Genetic recombinationGenetic recombination
Animations showing several models of homologous recombination The Holliday Model of Genetic Recombination Genetic+recombination ... Genetic recombination (also known as genetic reshuffling) is the exchange of genetic material between different organisms which ... In eukaryotes, genetic recombination during meiosis can lead to a novel set of genetic information that can be further passed ... The shuffling of genes brought about by genetic recombination produces increased genetic variation. It also allows sexually ...
https://en.wikipedia.org/wiki/Genetic_recombination
Paul MischelPaul Mischel
Mischel and colleagues integrated whole genome sequencing, cytogenetics and structural modeling to accurately and globally ... "Extrachromosomal oncogene amplification drives tumour evolution and genetic heterogeneity". Nature. 543 (7643): 122-125. ...
https://en.wikipedia.org/wiki/Paul_Mischel
Locus BiosciencesLocus Biosciences
"A Genetic 'Chain Saw' to Target Harmful DNA". Wall Street Journal. Archived from the original on March 6, 2018. Retrieved ... Heler R, Samai P, Modell JW, Weiner C, Goldberg GW, Bikard D, Marraffini LA (March 2015). "Cas9 specifies functional viral ... Brown, Kristen V. (February 24, 2017). "Scientists Are Creating a Genetic Chainsaw to Hack Superbug DNA to Bits". Gizmodo. G/O ... Wiedenheft B, Sternberg SH, Doudna JA (February 2012). "RNA-guided genetic silencing systems in bacteria and archaea". Nature. ...
https://en.wikipedia.org/wiki/Locus_Biosciences
Phage displayPhage display
Endemann H, Model P (July 1995). "Location of filamentous phage minor coat proteins in phage and in infected cells". J. Mol. ... Many genetic sequences are expressed in a bacteriophage library in the form of fusions with the bacteriophage coat protein, so ... The protein displayed corresponds to the genetic sequence within the phage. This phage-display library is added to the dish and ... Danner S, Belasco JG (November 2001). "T7 phage display: a novel genetic selection system for cloning RNA-binding proteins from ...
https://en.wikipedia.org/wiki/Phage_display
AssyriaAssyria
... modelled after Enlil. Assyrian religion was centered in temples, monumental structures that included a central shrine which ... Assyrian continuity is generally scholarly accepted based on both historical and genetic evidence in the sense that the modern ...
https://en.wikipedia.org/wiki/Assyria
Cervical cancerCervical cancer
Genetic factors also contribute to cervical cancer risk. Cervical cancer typically develops from precancerous changes over 10 ... February 2020). "Mortality impact of achieving WHO cervical cancer elimination targets: a comparative modelling analysis in 78 ... a modelling study". The Lancet. Public Health. 4 (1): e19-e27. doi:10.1016/S2468-2667(18)30183-X. PMID 30291040. S2CID 52924713 ...
https://en.wikipedia.org/wiki/Cervical_cancer
Gamma-aminobutyric acid receptor subunit gamma-2Gamma-aminobutyric acid receptor subunit gamma-2
The type A GABA receptors are pentameric chloride channels assembled from among many genetic variants of GABA(A) subunits. This ... alpha 1 beta 3 gamma 2 receptors determined by molecular modeling". Biochimica et Biophysica Acta (BBA) - Biomembranes. 1565 (1 ... "First genetic evidence of GABA(A) receptor dysfunction in epilepsy: a mutation in the gamma2-subunit gene". Nature Genetics. 28 ...
https://en.wikipedia.org/wiki/Gamma-aminobutyric_acid_receptor_subunit_gamma-2
Proto-oncogene tyrosine-protein kinase SrcProto-oncogene tyrosine-protein kinase Src
A common mechanism is that there are genetic mutations that result in the increased activity or the overexpression of the c-Src ... interactive 3D model of the structure of SRC Vega geneview Src Info with links in the Cell Migration Gateway Archived 2014-12- ... This discovery changed the current thinking about cancer from a model wherein cancer is caused by a foreign substance (a viral ...
https://en.wikipedia.org/wiki/Proto-oncogene_tyrosine-protein_kinase_Src
PretendianPretendian
Kaya Jones (born 1984) - A singer and model who joined the National Diversity Coalition for Trump as their "Native American ... The exploitation of Indigenous genetic material, like the theft of human remains, land and artifacts, has led to widespread ... Brett Lee Shelton, J. D.; Jonathan Marks (2008). "Genetic Markers Not a Valid Test of Native Identity". Counsel for Responsible ... Native American DNA: Tribal Belonging and the False Promise of Genetic Science. University of Minnesota Press, 2013. Tuck, Eve ...
https://en.wikipedia.org/wiki/Pretendian
Baum-Welch algorithmBaum-Welch algorithm
... and in particular genetic information. They have since become an important tool in the probabilistic modeling of genomic ... Solving this model using Baum-Welch demonstrated the ability to predict the location of CNV breakpoint to approximately 300 bp ... A hidden Markov model describes the joint probability of a collection of "hidden" and observed discrete random variables. It ... The algorithm and the Hidden Markov models were first described in a series of articles by Baum and his peers at the IDA Center ...
https://en.wikipedia.org/wiki/Baum–Welch_algorithm
ÇayönüÇayönü
Genetic studies of emmer wheat, the precursor of most current wheat species, show that the slopes of Mount Karaca (Karaca Dağ ... 2013). "Reticulated Origin of Domesticated Emmer Wheat Supports a Dynamic Model for the Emergence of Agriculture in the Fertile ...
https://en.wikipedia.org/wiki/Çayönü
Sequence motifSequence motif
Sometimes patterns are defined in terms of a probabilistic model such as a hidden Markov model. The notation [XYZ] means X or Y ... and genetic diversity. Curr Protoc Protein Sci. Vol. chapter 2. pp. 2.12.1-2.12.14. doi:10.1002/0471140864.ps0212s48. ISBN 978- ... Wong KC (September 2018). "DNA Motif Recognition Modeling from Protein Sequences". iScience. 7: 198-211. Bibcode:2018iSci....7 ... February 2013). "Evaluation of methods for modeling transcription factor sequence specificity". Nature Biotechnology. 31 (2): ...
https://en.wikipedia.org/wiki/Sequence_motif
Nature GeneticsNature Genetics
The journal encompasses genetic and functional genomic studies on human traits and on other model organisms, including mouse, ... Current emphasis is on the genetic basis for common and complex diseases and on the functional mechanism, architecture and ...
https://en.wikipedia.org/wiki/Nature_Genetics
NegritoNegrito
However, genetic studies suggest that they consist of several separate groups descended from the same ancient East Eurasian ... The People of the Bamboo - Age - A Socio-Ecological Model. Edition blurb, 2011. Zell, Reg, John M. Garvan. An Investigation: On ... February 2022). "Genetic Connections and Convergent Evolution of Tropical Indigenous Peoples in Asia". Molecular Biology and ... Yang, Melinda A. (6 January 2022). "A genetic history of migration, diversification, and admixture in Asia". Human Population ...
https://en.wikipedia.org/wiki/Negrito
Caspase-activated DNaseCaspase-activated DNase
As a result, these cells died taking into account this genetic modification but they did not show DNA breakup. This was the key ... "Solution structure of the CIDE-N domain of CIDE-B and a model for CIDE-N/CIDE-N interactions in the DNA fragmentation pathway ...
https://en.wikipedia.org/wiki/Caspase-activated_DNase
Job interviewJob interview
Essentially, the process model illustrates that the interview is not an isolated interaction, but rather a complex process that ... The most recent law to be passed is Title II of the Genetic Information Nondiscrimination Act of 2008. In essence, this law ... Stone, Dianna L.; Colella, Adrienne (April 1996). "A Model of Factors Affecting the Treatment of Disabled Individuals in ... Fletch, 1990 Levashina, Julia; Campion, Michael A. (15 November 2006). "A Model of Faking Likelihood in the Employment ...
https://en.wikipedia.org/wiki/Job_interview
Shiladitya DasSarmaShiladitya DasSarma
"Genetic and transcriptomic analysis of transcription factor genes in the model halophilic Archaeon: coordinate action of TbpD ... In the 1990s, he organized and led the team that deciphered the first genome sequence and genetic code for a halophilic microbe ... In early work (1980's), he discovered mobile genetic elements in halophilic Archaea, while a graduate student with H. Gobind ... "An improved genetic system for bioengineering buoyant gas vesicle nanoparticles from Haloarchaea". BMC Biotechnology. 13: 112. ...
https://en.wikipedia.org/wiki/Shiladitya_DasSarma
Desmond MilesDesmond Miles
Desmond is voiced by actor Nolan North and modeled after Canadian fashion model Francisco Randez. In the franchise, Desmond is ... Because Abstergo can now collect anyone's genetic memories without having to use blood-related analysts, Desmond's body gives ... Granger, Katie (19 February 2016). "Ubisoft's 'Assassin's Creed' Series Might Just Be Saved By New Release Model". Moviepilot. ... where a crew of analysts is tasked with reliving his copied genetic memories and learning about his ancestors. One of them, the ...
https://en.wikipedia.org/wiki/Desmond_Miles
Psychology of religionPsychology of religion
Fowler's model has inspired a considerable body of empirical research into faith development, although little of such research ... cognition has a functional structure with a genetic basis, and therefore appeared through natural selection. Like other organs ... Many have looked at stage models, like those of Jean Piaget and Lawrence Kohlberg, to explain how children develop ideas about ... The best-known stage model of spiritual or religious development is that of James W. Fowler, a developmental psychologist at ...
https://en.wikipedia.org/wiki/Psychology_of_religion
MolybdopterinMolybdopterin
Models for the active sites of enzymes molybdopterin-containing enzymes are based on a class of ligands known as dithiolenes. ... Molybdenum cofactor deficiency, a genetic illness. MOCOS, molybdenum cofactor sulfurase MOCS1, MOCS2, MOCS3, GEPH " ...
https://en.wikipedia.org/wiki/Molybdopterin
Halobacterium salinarumHalobacterium salinarum
H. salinarum is as easy to culture as E. coli and serves as an excellent model system. Methods for gene replacement and ... A sample of encapsulated inments from a close genetic relative of H. salinarum is estimated to be 121 million years old[ ... Scientists have previously recovered similar genetic material from the Michigan Basin,[clarification needed] the same region ...
https://en.wikipedia.org/wiki/Halobacterium_salinarum
Drosophila simulansDrosophila simulans
Such progeny often have reduced fitness due to increased genetic homozygosity leading to expression of deleterious recessive ... simulans an important model organism for research into speciation. D. simulans are monomorphic in their pheromone profiles ...
https://en.wikipedia.org/wiki/Drosophila_simulans
MetabolismMetabolism
These genetic modifications usually aim to reduce the amount of energy used to produce the product, increase yields and reduce ... These models are now used in network analysis, to classify human diseases into groups that share common proteins or metabolites ... Many models have been proposed to describe the mechanisms by which novel metabolic pathways evolve. These include the ... An alternative model comes from studies that trace the evolution of proteins' structures in metabolic networks, this has ...
https://en.wikipedia.org/wiki/Metabolism
Genomic imprintingGenomic imprinting
These models of mapping and identifying imprinting effects include using unordered genotypes to build mapping models. These ... The first imprinted genetic disorders to be described in humans were the reciprocally inherited Prader-Willi syndrome and ... A hypothesis for the origin of this genetic variation states that the host-defense system responsible for silencing foreign DNA ... It is an epigenetic process that involves DNA methylation and histone methylation without altering the genetic sequence. These ...
https://en.wikipedia.org/wiki/Genomic_imprinting
Sex determination in SileneSex determination in Silene
Moore, R. C.; Harkess, A. E.; Weingartner, L. A. (2016-07-01). "How to be a seXY plant model: A holistic view of sex-chromosome ... For example, there are two genetic variations that can lead to male sterility in S. latifolia: if it possesses two Y ... Kejnovsky, Vyskot (2010). "Silene latifolia : The Classical Model to Study Heteromorphic Sex Chromosomes". Cytogenetic and ... "Silene as a model system in ecology and evolution". Heredity. 103 (1): 5-14. doi:10.1038/hdy.2009.34. ISSN 1365-2540. PMID ...
https://en.wikipedia.org/wiki/Sex_determination_in_Silene
Endless Forms Most Beautiful (book)Endless Forms Most Beautiful (book)
... coli to Elephants This chapter tells the tale of the genetic code, and the lac operon, showing that the environment and genetic ... using the fruit fly Drosophila as the model organism. He has won the Shaw Scientist Award and the Stephen Jay Gould Prize for ... Evidently, a genetic switch could be reused for different purposes. 9. Paint It Black Carroll looks at zebra stripes, ... Most of the changes are in genetic control, not in proteins. 11. Endless Forms Most Beautiful Carroll concludes by revisiting ...
https://en.wikipedia.org/wiki/Endless_Forms_Most_Beautiful_(book)
Genome sizeGenome size
... particularly in species that rely on vertical transmission of genetic material. Based on this model, it is clear that ... The reductive evolution model has been proposed as an effort to define the genomic commonalities seen in all obligate ... As much as 90% of the genetic material can be lost when a species makes the evolutionary transition from a free-living to an ... This model illustrates four general features of reduced genomes and obligate intracellular species: "genome streamlining" ...
https://en.wikipedia.org/wiki/Genome_size
Indian subcontinentIndian subcontinent
E. Bredow, R. Gassmöller, J. Dannberg and B. Steinberger, Geodynamic Models of Plume-Ridge Interaction in the Indian Ocean and ... 11-. ISBN 978-1-136-28493-9. Kumar, Dhavendra (20 October 2004). Genetic Disorders of the Indian Subcontinent - Google Books. ...
https://en.wikipedia.org/wiki/Indian_subcontinent
Dominique BergmannDominique Bergmann
Bergmann, along with her team (collectively known as "The Bergmann Lab"), use a large variety of genetic, genomic and imaging ... Bergmann uses the development of stomata as a model to study cell fate, the self renewal of stem cells and cell polarity in ...
https://en.wikipedia.org/wiki/Dominique_Bergmann
Transgenerational stress inheritanceTransgenerational stress inheritance
Small non-coding RNAs may serve as a potential mechanism for stress-related genetic changes in offspring. Mouse models of ... Human models illustrating transgenerational stress effects are limited due to relatively novel exploration of the topic of ... Rodent models of maternal separation also reveal increased depressive-like behavior in offspring, decreased stress coping ... Similar to animal models, human studies have investigated the role of epigenetics and transgenerational inheritance molecularly ...
https://en.wikipedia.org/wiki/Transgenerational_stress_inheritance
CD278CD278
These data are similar to an airway hypersensitivity model showing similar IL-5 secretion, but reduced IL-4 secretion in ... Haimila KE, Partanen JA, Holopainen PM (Mar 2002). "Genetic polymorphism of the human ICOS gene". Immunogenetics. 53 (12): 1028 ...
https://en.wikipedia.org/wiki/CD278
FBR Model for Genetic Tests | CDCFBR Model for Genetic Tests | CDC
Analyzing and Disseminating Information on Genetic Tests. Cystic Fibrosis1 Hemochromatosis2 Venous Thromboembolism3 Breast & ... ACCE Model System for Collecting, Analyzing and Disseminating Information on Genetic Tests. In September 2000, the Office of ... ACCE: A Model Process for Evaluating Data on Emerging Genetic Tests. In: Human Genome Epidemiology: A Scientific Foundation for ... Draft Genetic Test Reviews. Final drafts of component sections of Genetic Test Reviews are posted online for viewing. ...
https://www.cdc.gov/genomics/gtesting/acce/fbr/index.htm
Mapping genetic modifiers of survival in a mouse model of Dravet syndromeMapping genetic modifiers of survival in a mouse model of Dravet syndrome
... Genes Brain Behav. 2014 Feb;13(2):163-72. doi: ... suggesting that genetic modifiers may influence clinical severity. Mice with heterozygous deletion of Scn1a (Scn1a(+/-) ) model ... Keywords: Dravet syndrome; RNA-seq; epilepsy; epileptic encephalopathy; mouse model; seizures; severe myoclonic epilepsy of ...
https://pubmed.ncbi.nlm.nih.gov/24152123/?dopt=Abstract
Oxidative stress occurs in genetic models of alpha-1-antitrypsin deficiencyOxidative stress occurs in genetic models of alpha-1-antitrypsin deficiency
Louis University, have demonstrated that oxidative stress occurs in a genetic model of alpha-1-antitrypsin deficiency. ... Oxidative stress occurs in genetic models of alpha-1-antitrypsin deficiency. *Download PDF Copy ... Louis University, have demonstrated that oxidative stress occurs in a genetic model of alpha-1-antitrypsin deficiency. This is ... The animal model recapitulates the human liver disease, in which the livers accumulate polymers of alpha-1-antitrypsin mutant Z ...
https://www.news-medical.net/news/20121030/Oxidative-stress-occurs-in-genetic-models-of-alpha-1-antitrypsin-deficiency.aspx
Preventive aspects of genetic morbidity: experiences of the Canadian modelPreventive aspects of genetic morbidity: experiences of the Canadian model
... View/. Open. EMHJ_1999_5_6_1121_1128.pdf (‎317.7Kb ... Khalifa, M.M. (‎1999)‎. Preventive aspects of genetic morbidity: experiences of the Canadian model. EMHJ - Eastern ... In Arab populations, genetic disorders are still not perceived as a major health problem, even though they are widely prevalent ... Genetic disorders are emerging as a major health problem in industrialized countries, especially with greater control of ...
https://extranet.who.int/iris/restricted/handle/10665/118805
Competitiveness Evaluation of Chinese Dairy Industry Based on Accelerated Genetic Algorithm Projection Pursuit ModelCompetitiveness Evaluation of Chinese Dairy Industry Based on Accelerated Genetic Algorithm Projection Pursuit Model
... this paper established a projection pursuit model based on accelerating genetic algorithm and carried on the comprehensive ... In view of the fact that the existing evaluation model cannot solve the dynamic nonlinear optimization problem, ... Construction of projection index function: the projection pursuit model forms the optimal projection direction by projecting ... Real coded accelerating genetic algorithm (RAGA) was introduced into the PP model for the calculation of the optimal projection ...
https://www.hindawi.com/journals/mpe/2020/6185234/
Review: Population Structure in Genetic Studies: Confounding Factors and Mixed Models | bioRxivReview: Population Structure in Genetic Studies: Confounding Factors and Mixed Models | bioRxiv
Review: Population Structure in Genetic Studies: Confounding Factors and Mixed Models. Lana S. Martin, Eleazar Eskin ... Review: Population Structure in Genetic Studies: Confounding Factors and Mixed Models Message Subject (Your Name) has forwarded ... A genome-wide association study (GWAS) seeks to identify genetic variants that contribute to the development and progression of ... Over the past 10 years, new approaches using mixed models have emerged to mitigate the deleterious effects of population ...
https://www.biorxiv.org/content/10.1101/092106v1
Figure 1 - Genetic Diversity among Clonal Lineages within Escherichia coli O157:H7 Stepwise Evolutionary Model - Volume 13,...
Genetic Diversity among Clonal Lineages within Escherichia coli O157:H7 Stepwise Evolutionary Model Peter C.H. Feng*. , Steven ... Genetic Diversity among Clonal Lineages within Escherichia coli O157:H7 Stepwise Evolutionary Model. ...
https://wwwnc.cdc.gov/eid/content/13/11/1701-f1.htm
Detecting Local Adaptation with Climate-Informed Spatial Genetic Models | LocalAdaptation Project | News & Multimedia | H2020 |...Detecting Local Adaptation with Climate-Informed Spatial Genetic Models | LocalAdaptation Project | News & Multimedia | H2020 |...
Stories, news, latest tweets, events, videos
https://cordis.europa.eu/project/id/647787/news
Seminar: Modelling Evolvability and Robustness in Genetic Programming | Computer Science | Faculty of Science | Memorial...Seminar: Modelling Evolvability and Robustness in Genetic Programming | Computer Science | Faculty of Science | Memorial...
Seminar: Modelling Evolvability and Robustness in Genetic Programming. Benjamin Fowler. Ph.D. Oral Comprehensive. Supervisory ... Modelling Evolvability and Robustness in Genetic Programming. Department of Computer Science. Wednesday, Jan. 7, 2015, 11:00a.m ... I propose to develop a tree-based genetic programming system, capable of modelling evolvability and robustness during evolution ... By being able to model them instead, the computational time to compute them may be reduced, and using them to select more ...
https://www.mun.ca/computerscience/departmental-events/seminar-modelling-evolvability-and-robustness-in-/
Analysis of DNA from early settlers of the Pacific overturns leading genetic model., page 2Analysis of DNA from early settlers of the Pacific overturns leading genetic model., page 2
Analysis of DNA from early settlers of the Pacific overturns leading genetic model.. page: 2 ...
https://www.abovetopsecret.com/forum/thread1139989/pg2
Large Genetic Animal Models of Huntingtons Disease - IOS PressLarge Genetic Animal Models of Huntington's Disease - IOS Press
The dominant nature of the Huntingtons disease gene mutation has allowed genetic models to be developed in multiple species, ...
https://content.iospress.com/articles/journal-of-huntingtons-disease/jhd130050
Genetic Diversity among Clonal Lineages within Escherichia coli O157:H7 Stepwise Evolutionary Model - Volume 13, Number 11...
Genetic Diversity among Clonal Lineages within Escherichia coli O157:H7 Stepwise Evolutionary Model On This Page ... Genetic Diversity among Clonal Lineages within Escherichia coli O157:H7 Stepwise Evolutionary Model. Emerging Infectious ... Genetic Diversity among Clonal Lineages within Escherichia coli O157:H7 Stepwise Evolutionary Model. Volume 13, Number 11- ... Genetic Diversity among Clonal Lineages within Escherichia coli O157:H7 Stepwise Evolutionary Model. Emerg Infect Dis. 2007;13( ...
https://wwwnc.cdc.gov/eid/article/13/11/07-0381_article
Helioseismology by Genetic Forward Modeling - aspbooks.org
No part of the material protected by this copyright may be reproduced or used in any form other than for personal use without written permission from the ASP ...
https://aspbooks.org/a/volumes/article_details/?paper_id=14327
Clinical-genetic model predicts incident impulse control disorders in Parkinsons disease | Journal of Neurology, Neurosurgery ...Clinical-genetic model predicts incident impulse control disorders in Parkinson's disease | Journal of Neurology, Neurosurgery ...
The clinical-genetic prediction model reached highest accuracy in patients initiating DA therapy (AUC=87%, 95% CI (80% to 93 ... suggesting potential for developing clinical-genetic models to identify patients with PD at increased risk of ICD development ... Conclusions Our results show that adding a candidate genetic panel increases ICD predictability, ... Our aims were to estimate ICD heritability and to predict ICD by a candidate genetic multivariable panel in patients with PD. ...
https://jnnp.bmj.com/content/87/10/1106
talks.cam : Use of genetic and serological data in dynamical models of infectious diseasetalks.cam : 'Use of genetic and serological data in dynamical models of infectious disease'
Use of genetic and serological data in dynamical models of infectious disease. Add to your list(s) Download to your calendar ... Department of Veterinary Medicine , Use of genetic and serological data in dynamical models of infectious disease ...
https://talks.cam.ac.uk/talk/index/140788
Assignment of functional impact on genetic data in two mouse models of affective disordersAssignment of functional impact on genetic data in two mouse models of affective disorders
Widner-Andrä, Regina Andrea (2012): Assignment of functional impact on genetic data in two mouse models of affective disorders ... Assignment of functional impact on genetic data in two mouse models of affective disorders ... Assignment of functional impact on genetic data in two mouse models of affective disorders ...
https://edoc.ub.uni-muenchen.de/14380/
Multilocus genetic models of handedness closely resemble single-locus models in explaining family data and are compatible with...Multilocus genetic models of handedness closely resemble single-locus models in explaining family data and are compatible with...
Multilocus genetic models of handedness closely resemble single-locus models in explaining family data and are compatible with ...
https://ui.adsabs.harvard.edu/abs/2013NYASA1288...48M
PRIME PubMed | Plasma corticosterone, dexamethasone (DEX) suppression and DEX/CRH tests in a rat model of genetic vulnerability...PRIME PubMed | Plasma corticosterone, dexamethasone (DEX) suppression and DEX/CRH tests in a rat model of genetic vulnerability...
... suppression and DEX/CRH tests in a rat model of genetic vulnerability to depression. Download Prime PubMed App to iPhone, iPad ... TY - JOUR T1 - Plasma corticosterone, dexamethasone (DEX) suppression and DEX/CRH tests in a rat model of genetic vulnerability ... Plasma corticosterone, dexamethasone (DEX) suppression and DEX/CRH tests in a rat model of genetic vulnerability to depression. ... "Plasma Corticosterone, Dexamethasone (DEX) Suppression and DEX/CRH Tests in a Rat Model of Genetic Vulnerability to Depression ...
https://www.unboundmedicine.com/medline/citation/17512120/Plasma_corticosterone_dexamethasone__DEX__suppression_and_DEX/CRH_tests_in_a_rat_model_of_genetic_vulnerability_to_depression_
Modeling genetic diseases in mini-kidney organoids | Harvard Stem Cell Institute (HSCI)Modeling genetic diseases in mini-kidney organoids | Harvard Stem Cell Institute (HSCI)
... gene-editing techniques with stem cell science to for the first time successfully model genetic kidney disease in lab-grown, ... "The study provides a proof-of-concept that we can use a genetic approach to make kidney disease in a dish," said Joseph ... Now, using gene-editing tools, researchers can engineer these mini-kidneys with specific genetic diseases. ... "We were interested in creating disease models using these kidney organoids, " he added. ...
https://hsci.harvard.edu/news/modeling-genetic-diseases-mini-kidney-organoids
The use of genetic algorithms and Bayesian classification to model species distributions - NERC Open Research ArchiveThe use of genetic algorithms and Bayesian classification to model species distributions - NERC Open Research Archive
2006 The use of genetic algorithms and Bayesian classification to model species distributions. Ecological Modelling, 192. 410- ... Ecological thresholds, Species distributions modelling, Land use effects, Niche models, Bioclimatic modelling. ... The use of genetic algorithms and Bayesian classification to model species distributions ... We show that both climate and land use variables are important for modelling the spatial distribution patterns of the sampled ...
https://nora.nerc.ac.uk/id/eprint/485/
Connectivity and Genetic Structure in Coral Reef Ecosystems: Modeling and Analysis - ARC Centre of Excellence for Coral Reef...Connectivity and Genetic Structure in Coral Reef Ecosystems: Modeling and Analysis - ARC Centre of Excellence for Coral Reef...
Combining the results of these types of models with matrix analysis, it is also possible to evaluate the expected development ... Recent advances in the development of individual-based bio-oceanographic larval dispersal models have opened up new ... and provide a means of bridging the gap between observed marine population genetic patterns and oceanographic processes. ... of genetic structure in large-scale population networks over time. Results for the Caribbean predict a strong east-west break, ...
https://www.coralcoe.org.au/crs_event/connectivity-and-genetic-structure-in-coral-reef-ecosystems-modeling-and-analysis
IEICE Trans - Structure Selection and Identification of Hammerstein Type Nonlinear Systems Using Automatic Choosing Function...IEICE Trans - Structure Selection and Identification of Hammerstein Type Nonlinear Systems Using Automatic Choosing Function...
identification, nonlinear system, Hammerstein model, automatic choosing function, genetic algorithm, Full Text: PDF(270.6KB),, ... The adjusting parameters for the ACF model structure, i.e. the number and widths of the subdomains and the shape of the ACF are ... An unknown nonlinear static part to be estimated is approximately represented by an automatic choosing function (ACF) model. ... Selection and Identification of Hammerstein Type Nonlinear Systems Using Automatic Choosing Function Model and Genetic ...
https://search.ieice.org/bin/summary.php?id=e88-a_10_2541&category=A&lang=E&year=2005&abst=
Genetic-algorithm optimization of dipole equivalent-circuit models<...
title = "Genetic-algorithm optimization of dipole equivalent-circuit models",. abstract = "In this paper, we use a genetic- ... Genetic-algorithm optimization of dipole equivalent-circuit models. / Long, B. R.; Werner, P. L.; Werner, D. H. ... Long, B. R. ; Werner, P. L. ; Werner, D. H. / Genetic-algorithm optimization of dipole equivalent-circuit models. In: Microwave ... Long, B. R., Werner, P. L., & Werner, D. H. (2000). Genetic-algorithm optimization of dipole equivalent-circuit models. ...
https://pennstate.pure.elsevier.com/en/publications/genetic-algorithm-optimization-of-dipole-equivalent-circuit-model
Interposing an ontogenetic model between Genetic Algorithms and Neural NetworksInterposing an ontogenetic model between Genetic Algorithms and Neural Networks
... Part of Advances in Neural Information ... to suggest a model of the developmental process whereby the genotypes manipulated by the Genetic Algo(cid:173) rithm (GA) might ... A new gene doubling operator appears critical to the formation of new genetic alternatives in the preliminary but encouraging ...
https://papers.nips.cc/paper/1992/hash/eb6fdc36b281b7d5eabf33396c2683a2-Abstract.html
Inferring the structure of latent class models using a genetic algorithm<...
Van Der Maas HLJ, Raijmakers MEJ, Visser I. Inferring the structure of latent class models using a genetic algorithm. Behavior ... Van Der Maas, HLJ ; Raijmakers, MEJ ; Visser, I. / Inferring the structure of latent class models using a genetic algorithm. In ... Van Der Maas, HLJ, Raijmakers, MEJ & Visser, I 2005, Inferring the structure of latent class models using a genetic algorithm ... Inferring the structure of latent class models using a genetic algorithm. / Van Der Maas, HLJ; Raijmakers, MEJ; Visser, I. ...
https://research.vu.nl/en/publications/inferring-the-structure-of-latent-class-models-using-a-genetic-al
Brain Organoids as Model Systems for Genetic Neurodevelopmental Disorders - UCL DiscoveryBrain Organoids as Model Systems for Genetic Neurodevelopmental Disorders - UCL Discovery
Brain Organoids as Model Systems for Genetic Neurodevelopmental Disorders. Frontiers in Cell and Developmental Biology , 8 , ... Brain Organoids as Model Systems for Genetic Neurodevelopmental Disorders. Open access status:. An open access version is ... Advances in DNA sequencing technologies revealed identifiable genetic causes in an increasingly large proportion of NDDs, ... in vitro-models of cerebral organoids, holding the potential to recapitulate precise stages of human brain development with the ...
https://discovery.ucl.ac.uk/id/eprint/10124245/
EN (en)EN (en)
First model of spontaneous vagal hyperreactivity and its mode of genetic transmission. ... BACKGROUND: The main purpose of our study was to define an animal model of vagal hyperreactivity and its genetic transmission. ... CONCLUSIONS: This study describes the first model of spontaneous vagal pauses. The inheritance could be polygenic with a ...
https://research.pasteur.fr/en/publication/first-model-of-spontaneous-vagal-hyperreactivity-and-its-mode-of-genetic-transmission/
Lokaverkefni: Estimating brown bear abundance in the Italian Alps with genetic-based CMR models | SkemmanLokaverkefni: "Estimating brown bear abundance in the Italian Alps with genetic-based CMR models" | Skemman
Different combinations of models were tested, and a hierarchical model selection was operated. Results returned a population ... Estimating brown bear abundance in the Italian Alps with genetic-based CMR models ... models. Genetic data, obtained from systematic and opportunistic sampling in three consecutive years (2015, 2016 and 2017) by ... This thesis presents a method to estimate brown bear abundance in the Italian Alps based on the use of genetic capture-mark- ...
https://skemman.is/handle/1946/31848
Machine learning and network-based models to identify genetic risk factors to the progression and survival of colorectal cancer...Machine learning and network-based models to identify genetic risk factors to the progression and survival of colorectal cancer...
The survival time of CRC patients was also examined using a Cox Proportional Hazard regression-based prognostic model by ... Machine learning and network-based models to identify genetic risk factors to the progression and survival of colorectal cancer ... Machine learning and network-based models to identify genetic risk factors to the progression and survival of colorectal cancer ... Machine learning and network-based models to identify genetic risk factors to the progression and survival of colorectal cancer ...
https://www.garvan.org.au/research/publications/16037
Time Series Mode Ung Using Genetic Programming: An Application to Rainfall-Runoff Models | Advances in Genetic Programming |...Time Series Mode Ung Using Genetic Programming: An Application to Rainfall-Runoff Models | Advances in Genetic Programming |...
"Time Series Mode Ung Using Genetic Programming: An Application to Rainfall-Runoff Models", Advances in Genetic Programming, Lee ... 5: Time Series Mode Ung Using Genetic Programming: An Application to Rainfall-Runoff Models Doi: https://doi.org/10.7551/ ...
https://direct.mit.edu/books/book/4677/chapter-abstract/214363/Time-Series-Mode-Ung-Using-Genetic-Programming-An?redirectedFrom=fulltext
AlgorithmAlgorithmsClinicalVariantsOptimizationAbstractStrainsMutationsGenesGenomicsVariationPredictiveZebrafishEvolvabilityMarkersPolymorphismsGenomicRobustnessPhenotypicGenomeDisordersDataComputational2019HumansMethodologyMiceBiologicalDiseaseFactorsImmuneSpeciesDiseasesHeritabilityMathematicalProgressionPrediction modelsEpidemiologyHierarchical modelPopulationDiversityEpidemiologicalPrognostic modelApproachesDifferencesTraitsEvolutionSystematicGeneOrganoidsRecombinantStudyStudiesRiskProcessesEvolutionaryCloselyBehaviorPreventiveDivergenceNeurologicalCystic fibrosisLogistic regressionGenetically modifiedHumanTranscriptome
Algorithm16
  • For clustering genes through a mixture model, we propose three nonparametric Bayesian methods: a marginal nested Dirichlet process (NDP), which is able to cluster distributions and, a predictive recursion clustering scheme (PRC) and a subset nonparametric Bayesian (SNOB) clustering algorithm for clustering bigdata. (usp.br)
  • The identification is based on Bayesian classification and the optimisation is based on a Genetic Algorithm (GA). The algorithm is tested on an artificial "species" and is shown to perform well. (nerc.ac.uk)
  • In this paper, we use a genetic-algorithm (GA) technique to optimize equivalent-circuit models of an antenna system. (elsevier.com)
  • Two broad-band equivalent-circuit models with component values are optimized by use of the genetic algorithm. (elsevier.com)
  • Mathematical modeling for optimizing skip-stop rail transit operation strategy using genetic algorithm. (bts.gov)
  • This research developed an optimization model using a Genetic Algorithm that coordinated the stopping stations for skip-stop rail operation. (bts.gov)
  • Using the flexibility of the Genetic Algorithm, this model included many realistic conditions, such as different access modes, different stopping scenarios, different collision constraints, different objective functions, and etc. (bts.gov)
  • PyGAD is an open-source Python library for building the genetic algorithm and training machine learning algorithms. (paperspace.com)
  • It offers a wide range of parameters to customize the genetic algorithm to work with different types of problems. (paperspace.com)
  • In this paper, two new genetic algorithm methods are presented that allow for more efficient solution of these types of problems than was previously possible. (illinois.edu)
  • It is shown that species trees are identifiable under a standard stochastic model for GDL, and that the polynomial-time algorithm ASTRal-multi, a recent development in the ASTRAL suite of methods, is statistically consistent under this GDL model. (semanticscholar.org)
  • How to use genetic algorithm for hyperparameter tuning of ML models? (analyticsindiamag.com)
  • This article will be focused on fine-tuning hyperparameters for a classifier using a Genetic algorithm . (analyticsindiamag.com)
  • How Genetic algorithm is used in hyperparameter optimization? (analyticsindiamag.com)
  • One of the most prevalent metaheuristic algorithms is the genetic algorithm (GA), which is based on the evolutionary idea that people with the highest survival potential and adaptation to the environment are more likely to survive and pass on their qualities to future generations. (analyticsindiamag.com)
  • We compared the performances of the Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA) model, the International Breast Cancer Intervention Study (IBIS) model, and the Gail model in predicting breast cancer risk among women in Cyprus. (who.int)
Algorithms10
  • The aim of this project was to develop a model system for assembling, analyzing, disseminating and updating existing data on the safety and effectiveness of DNA-based genetic tests and testing algorithms. (cdc.gov)
  • I propose to develop a tree-based genetic programming system, capable of modelling evolvability and robustness during evolution through machine learning algorithms, and exploiting those models to increase the efficiency and final fitness of the system. (mun.ca)
  • Noisy genetic algorithms use Monte Carlo-type sampling to sample from a noisy fitness function (objective function). (illinois.edu)
  • Nondominated sorted genetic algorithms can efficiently identify the entire trade-off surface among multiple objectives in a single model run. (illinois.edu)
  • Minsker, BS, Padera, B & Smalley, JB 2000, Efficient methods for including uncertainty and multiple objectives in water resources management models using genetic algorithms . (illinois.edu)
  • During the development of ML models, properly exploring the hyperparameter space with optimisation algorithms can find the ideal hyperparameters for the models. (analyticsindiamag.com)
  • PMML is an XML-based language to provide a standard for describing models produced by data mining and machine learning algorithms. (r-project.org)
  • Knabe, J. F., Wegner, K., Nehaniv, C. L. and Schilstra, M. J. Genetic Algorithms and Their Application to In Silico Evolution of Genetic Regulatory Networks. (panmental.de)
  • The Research Program will utilize novel analytics and technologies to extensively phenotype patients with low back pain, develop an integrated model of cLBP, produce new and improved diagnostic and treatment algorithms, and will conduct traditional Phase 2 Clinical Trials as well as sequential, adaptive, phase 2/proof of concept clinical studies in stratified patient populations. (nih.gov)
  • The construction of the prediction model involved exploratory data analysis and applied machine learning algorithms. (bvsalud.org)
Clinical14
  • A common feature of monogenic epilepsies is variable expressivity among individuals with the same mutation, suggesting that genetic modifiers may influence clinical severity. (nih.gov)
  • In clinical studies, liver disease from alpha-1-antitrypsin mutant Z protein has shown considerable variability in severity and progression, suggesting that as yet undescribed genetic modifiers may influence disease development. (news-medical.net)
  • Conclusions Our results show that adding a candidate genetic panel increases ICD predictability, suggesting potential for developing clinical-genetic models to identify patients with PD at increased risk of ICD development and guide DRT management. (bmj.com)
  • A total of 3000 consecutive neonates delivered in a maternity hospital in Giza, Egypt, were subjected to full clinical and genetic evaluation. (who.int)
  • Genetic and clinical advances in congenital long QT syndrome. (medlineplus.gov)
  • Herein, we evaluated the anti-inflammatory and antioxidant efficacy of diapocynin, an oxidative metabolite of the naturally occurring agent apocynin, in a pre-clinical 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) mouse model of PD. (springer.com)
  • Treatment with diapocynin also significantly improved locomotor activity, restored dopamine and its metabolites, and protected dopaminergic neurons and their nerve terminals in this pre-clinical model of PD. (springer.com)
  • Collectively, these results demonstrate that diapocynin exhibits profound neuroprotective effects in a pre-clinical animal model of PD by attenuating oxidative damage and neuroinflammatory responses. (springer.com)
  • Clinical genetic diagnostics for Mendelian disorders contributing to one's clinical presentation, as well as medically actionable secondary findings. (nih.gov)
  • Contributing to the evidence base on the processes and outcomes of the clinical genomics and genetic counseling services. (nih.gov)
  • 50%), better clinical models and pipelines for targeted therapies are urgently required. (hrb.ie)
  • It is a simple model, readily applicable to the clinical setting, and can be used to build adaptive therapeutic approaches for patients with t-MDS," said Dr. Quintás-Cardama, assistant professor in the Department of Leukemia at the University of Texas M.D. Anderson Cancer Center in Houston. (medscape.com)
  • Genetic analysis and clinical data from these strains suggested that they were human-related but sporadic. (cdc.gov)
  • 2. Clinical utility of a population-based genetic testing strategy for BC precision prevention, measured by clinical outcomes and long-term modelling at the study end. (who.int)
Variants5
  • This information could be useful in defining genetic variants that may influence individual susceptibility and in facilitating the design of appropriate treatments. (news-medical.net)
  • A genome-wide association study (GWAS) seeks to identify genetic variants that contribute to the development and progression of a specific disease. (biorxiv.org)
  • Escherichia coli O157:H7 variants were examined for trait mutations and by molecular subtyping to better define clonal complexes postulated on the O157:H7 evolution model. (cdc.gov)
  • Database of human genetic variants associated with longevity. (senescence.info)
  • Individual variants showed heterogeneity across ancestries, age and smoking groups, and collectively as a genetic risk score showed strong association with COPD across ancestry groups. (cdc.gov)
Optimization4
  • Hyperparameter optimization aims to obtain optimal or near-optimal model performance by modifying hyper-parameters within the constraints of the budget. (analyticsindiamag.com)
  • In reality, however, time budgets are an important restriction for improving hyperparameter optimization models and must be considered. (analyticsindiamag.com)
  • In the proposed prediction model, GNP is applied to searching for an optimal combination of two or more appropriate stock price indices, which is different from a conventional GA or GP based stock price prediction model, where GA or GP is usually used as an optimization technique to search for an optimal value of parameters in the stock price index. (elsevier.com)
  • The metrics of remoteness from set values and t-statistics were calculated for the purpose of testing the received results, and solutions to the subproblems, with the help of a mathematical package using optimization models and a method of inverse calculations, were also provided. (researchgate.net)
Abstract1
  • Abstract: In this work, the design and execution of a mechanistic metabolic model is presented that is capable of simulating extracellular metabolite concentration profiles, particularly cell density and antibody titer, throughout the course of a recombinant protein producing CHO fed-batch culture. (tufts.edu)
Strains5
  • MLST of strains in other clonal complexes also discriminated strains thought to be identical and showed that genetic differences will further distinguish clonal populations into subclones. (cdc.gov)
  • At the center of the model is a hypothetical "intermediate" strain (ancestor A3), which evolved from the A2 clonal complex of O55:H7 strains that are closely related but ancestral to O157:H7 ( 2 ). (cdc.gov)
  • These models can be generated on a variety of inbred and specialty strains, including C57BL/6J, C57BL/6N, and NSG. (jax.org)
  • To analyze the growth characteristics of these persisters, we have developed a population dynamics approach using mixtures of wild-type isogenic tagged strains (WITS) and a computational model. (medworm.com)
  • The investigators have developed a genetic system for constructing recombinant LM (rLM) expressing foreign antigens, molecular tools for manipulating bacterial antigens and the pathogenic process, and a murine model for characterizing immune responses induced by the rLM strains. (usda.gov)
Mutations6
  • Genetic studies have also elucidated some of the mutations that occurred in the stepwise emergence of clonal complexes. (cdc.gov)
  • These mutations provide unique markers for tracing the model's evolutionary events and, coupled with better typing methods, have provided more discriminatory means to reexamine genetic relatedness among O157:H7 clonal complexes. (cdc.gov)
  • In the last section, we will consider that breeds are small populations and that the divergence times between them are too small to consider that the observed diversity is due to mutations: divergence is mainly due to genetic drift. (gse-journal.org)
  • Prenatal diagnosis of molecular mutations can be of immense value, since diagnosis followed by genetic counselling provides the most appropriate approach to genetic diseases control and prevention. (who.int)
  • An important component of precision medicine is the identification, through genetic testing, of people who are at elevated risk of disease because of pathogenic germline mutations. (cdc.gov)
  • Our understanding of the genetic mutations that affect complex human traits - such as height, smoking-related behaviour or the risk of diabetes - has been vastly broadened by genome-wide association studies (GWASs). (cdc.gov)
Genes8
  • Advances in DNA sequencing technologies revealed identifiable genetic causes in an increasingly large proportion of NDDs, highlighting the need of experimental approaches to investigate the defective genes and the molecular pathways implicated in abnormal brain development. (ucl.ac.uk)
  • A curated database of candidate human ageing-related genes and genes associated with longevity and/or ageing in model organisms. (senescence.info)
  • A curated database of genes associated with dietary restriction in model organisms either from genetic manipulation experiments or gene expression profiling. (senescence.info)
  • This comprehensive network maps genetic interactions for essential gene pairs, highlighting essential genes as densely connected hubs. (thebiogrid.org)
  • Biologist Ann Gauger looked at one of the initially strongest arguments against Adam and Eve from human genetic diversity (HLA genes) and found the evidence is compatible with our descending from an initial couple. (evolutionnews.org)
  • Certain common changes (polymorphisms) in the CYP2C9 and VKORC1 genes account for most of the variation in warfarin metabolism due to genetic factors. (medlineplus.gov)
  • Genes with moderate to low expression heritability may explain a large proportion of complex trait heritability, but these genes are insufficiently captured in transcriptome-wide association studies (TWAS) partly due to the relatively small available reference datasets for developing expression genetic prediction models to capture the moderate to low genetically regulated components of gene expression. (bvsalud.org)
  • Through simulation studies and analyses of GWAS summary statistics for 24 complex traits, we show that SUMMIT substantially improves the accuracy of expression prediction in blood, successfully builds expression prediction models for genes with low expression heritability, and achieves higher statistical power than several benchmark methods. (bvsalud.org)
Genomics1
  • In May 2018, CDC's Office of Public Health Genomics, the National Cancer Institute's Division of Cancer Control and Population Sciences, and the National Heart, Lung, and Blood Institute's Center for Translation Research and Implementation Science held a special webinar titled: "Using Genetic Risk Scores in the Prevention and Control of Common Diseases: Opportunities and Challenges. (cdc.gov)
Variation2
  • Association Between Genetic Variation in Blood Pressure and Increased Lifetime Risk of Peripheral Artery Disease. (cdc.gov)
  • Competing causes of mortali- or all of the animal species tested genetic variation, health status, life ty may prevent the development of experimentally. (who.int)
Predictive8
  • OPRK1 , HTR2A and DDC genotypes were the strongest genetic predictive factors. (bmj.com)
  • The benefit of predictive genetic testing will not be fully realized unless these disparities can be addressed. (nih.gov)
  • Furthermore, in this version we provide a universal framework named 'frbsPMML', which is adopted from the Predictive Model Markup Language (PMML), for representing FRBS models. (r-project.org)
  • However, there has been little published peer-reviewed information regarding the performance of these models and what is available has focused mostly on the performance of their central estimates (i.e., predictive performance). (medrxiv.org)
  • Some models which exhibited good predictive performance were found to have poor probabilistic performance, and vice versa. (medrxiv.org)
  • Only two of the nine models considered exhibited superior predictive and probabilistic performance. (medrxiv.org)
  • This model is extremely predictive of outcome in t-MDS patients, which is a growing population of MDS patients, and uses variables similar to those in the larger MDS model, said Mikkael Sekeres, MD, MS, director of the leukemia program at the Cleveland Clinic Taussig Cancer Institute in Ohio. (medscape.com)
  • We demonstrate the added value of PRSs in improving the predictive performance of the risk factors only model and project the positive and negative predictive values for two promising multicancer screening tests across risk strata defined by age and PCRS. (cdc.gov)
Zebrafish5
  • A total of 636 publications were identified describing genetic animal models for CF in mice, pigs, ferrets, rats and zebrafish. (ru.nl)
  • Model fish species such as sticklebacks and zebrafish are frequently used in studies that require DNA to be collected from live animals. (awionline.org)
  • A mutation linked to Gaucher disease in the Ashkenazi Jewish population appears to boost Mycobacterium tuberculosis resistance in a zebrafish model of the lysosomal storage condition, a new PNAS study finds. (genomeweb.com)
  • Herein, we examine the role and molecular mechanism of 5-HT7R in the pigmentation of human skin cells, human tissue, mice, and zebrafish models. (bvsalud.org)
  • Consistently, htr7a/7b genetic knockdown in zebrafish could blockade melanogenic effects and abrogate 5-HT-induced melanin accumulation. (bvsalud.org)
Evolvability1
  • Knabe, J. F. Evolvability of Computational Genetic Regulatory Networks . (panmental.de)
Markers4
  • Many works demonstrate the benefits of using highly polymorphic markers such as microsatellites in order to measure the genetic diversity between closely related breeds. (gse-journal.org)
  • Using genetic and genomic approaches, we identified several significant genomic markers associated with early abortion. (agri.gov.il)
  • The patent-pending process detects the presence of known genetic markers in as little as 10 minutes, an alternative to polymerase chain reaction (or PCR) tests that can take days. (simpson.edu)
  • 1978). In studies of selected twin pairs, genetic markers have been used for validation. (helsinki.fi)
Polymorphisms3
  • These clonal complexes on the model were predicted on the basis of phenotypes, multilocus enzyme electrophoresis (MLEE), and the presence of the +93 single nucleotide polymorphisms (SNP) in the uid A gene that encode for GUD ( 1 ). (cdc.gov)
  • The effects of genetic polymorphisms and diabetes mellitus on the development of peripheral artery disease. (cdc.gov)
  • Biological samples supported the evaluation of genetic polymorphisms and reactivity to serological tests. (bvsalud.org)
Genomic3
  • The large amount of genetic information accumulated in the post-genomic era needs to be transformed into knowledge 1 . (nature.com)
  • Genetic and genomic analyses might be able. (awionline.org)
  • The key questions are, therefore, if genomic testing service has a future at all - and if yes, what is the business model that will sustain it. (scienceblogs.com)
Robustness1
  • Knabe, J. F., Nehaniv, C. L. and Schilstra, M. J. Evolutionary Robustness of Differentiation in Genetic Regulatory Networks. (panmental.de)
Phenotypic9
  • An evolutionary model postulates that Escherichia coli O157:H7 evolved from ancestral E. coli by stepwise acquisition or loss of virulence and phenotypic traits ( 1 ). (cdc.gov)
  • The relationships between learning, development and evolution in Nature is taken seriously, to suggest a model of the developmental process whereby the genotypes manipulated by the Genetic Algo(cid:173) rithm (GA) might be expressed to form phenotypic neural networks (NNet) that then go on to learn. (nips.cc)
  • Genetic and phenotypic information led to the identification of quantitative trait loci (QTLs) associated with drought tolerance of the species by association mapping analysis. (uky.edu)
  • It can be argued that these traits may therefore be more closely associated to genetic potential, or components of genetic merit that are more robust across environments, than the environmentally dependent phenotypic traits currently used for genetic evaluation. (ed.ac.uk)
  • The prediction of merit for underlying biological traits can be valuable for breeding and development of selection strategies across environments.Model inversion has been identified as a valid method for obtaining estimates of phenotypic and genetic components of the biological traits representing the genotype in the mechanistic model. (ed.ac.uk)
  • The present study shows how these estimates were obtained for two existing pig breeds based on genetic and phenotypic components of existing performance trait records. (ed.ac.uk)
  • The estimated heritabilities for the genetic potentials for growth, carcass composition and feed efficiency as represented by biological traits exceed the heritability estimates of related phenotypic traits that are currently used in evaluation processes for both breeds. (ed.ac.uk)
  • The estimated heritabilities for maintenance energy requirements are however relatively small, suggesting that traits associated with basic survival processes have low heritability, provided that maintenance processes are appropriately represented by the model.The results of this study suggest that mechanistic animal growth models can be useful to animal breeding through the introduction of new biological traits that are less influenced by environmental factors than phenotypic traits currently used. (ed.ac.uk)
  • 2001), but also as phenotypic information to identify affected sibpairs for molecular genetic studies as described in Table 1. (helsinki.fi)
Genome12
  • In: Human Genome Epidemiology: A Scientific Foundation for Using Genetic Information to Improve Health and Prevent Disease. (cdc.gov)
  • In this context, advances of both stem cell technologies and genome editing strategies during the last decade led to the generation of three-dimensional (3D) in vitro-models of cerebral organoids, holding the potential to recapitulate precise stages of human brain development with the aim of personalized diagnostic and therapeutic approaches. (ucl.ac.uk)
  • The survival time of CRC patients was also examined using a Cox Proportional Hazard regression-based prognostic model by integrating transcriptome data from The Cancer Genome Atlas (TCGA). (garvan.org.au)
  • Genome-wide approaches to epidermal function include short interfering RNA-based genetic screens in cultured human epidermal cells 8 and RNA interference-mediated gene knockdown via in utero microinjection of lentiviral vectors 9 . (nature.com)
  • the advantages of using a murine model included small size, easy breeding, short time between generations, production of identical offspring, and the fact that much of their genome has been mapped for homologies with the human genome. (cdc.gov)
  • Specifically, a postdoc in my laboratory can take advantage of in-house expertise in mouse genome engineering, animal model generation and advanced cell line engineering and apply this to facilitate scientific and drug discovery. (gene.com)
  • In addition he/she can explore the power of genetics in model systems using innovative combinations of genetic tools and latest genome engineering technology. (gene.com)
  • My lab uses and develops state-of-the-art genome engineering tools to facilitate the design and generation of animal models for basic research purposes and to facilitate and accelerate drug discovery. (gene.com)
  • New genome engineering tools such as nucleases allow us to not only develop these models faster than before, but also enable us to make more sophisticated models. (gene.com)
  • The development of zinc finger nuclease (ZFN) technology has enabled the genetic engineering of the rat genome. (aspetjournals.org)
  • For more details, please see " Adam and the Genome and Human-Ape Genetic Similarity . (evolutionnews.org)
  • For more details, please see " Adam and the Genome and Human Genetic Diversity ," " Adam and the Genome and Citation Bluffing ," and " Adam and the Genome and 'Predetermined Conclusions' . (evolutionnews.org)
Disorders8
  • Genetic disorders are emerging as a major health problem in industrialized countries, especially with greater control of environmental diseases. (who.int)
  • Of total admissions to major paediatric hospitals, 50% are due to genetic disorders, and at least 10% of all adult admissions to hospitals involve major genetic contributions. (who.int)
  • Several programmes aimed at preventing or ameliorating these genetic disorders are being implemented. (who.int)
  • In Arab populations, genetic disorders are still not perceived as a major health problem, even though they are widely prevalent. (who.int)
  • Widner-Andrä, Regina Andrea (2012): Assignment of functional impact on genetic data in two mouse models of affective disorders. (uni-muenchen.de)
  • This study provides the first view of the architecture of genetic and environmental risk factors for phobic disorders and their subtypes. (cambridge.org)
  • This paper looks at some of the studies on genetic disorders conducted in Bahrain. (who.int)
  • Chromosomal breakage syndromes are a group of genetic disorders that are typically transmitted in an autosomal recessive mode of inheritance. (medscape.com)
Data11
  • ACCE: A Model Process for Evaluating Data on Emerging Genetic Tests. (cdc.gov)
  • We specifically propose data-driven selection and estimation methods for a generalized mixture model, which accommodates the usual (independent) and the first-order (dependent) models in one framework, and QTL (quantitativetrait locus) mapping models for independent and pedigree data. (usp.br)
  • Genetic data, obtained from systematic and opportunistic sampling in three consecutive years (2015, 2016 and 2017) by Trento Province, were used to obtain estimates of population abundance, population structure and growth rate. (skemman.is)
  • Lastly, the possibility of providing accurate estimations using opportunistic data only was tested, with positive results for Huggins closed population model. (skemman.is)
  • Segregation analyses tested goodness of fit of phenotyping data with various inheritance models, and the highest likelihood for each cell response to NO 2 was for the hypothesis two-unlinked loci general. (elsevier.com)
  • An overview of basic model characteristics and outcome measures for these genetic models is provided, together with advice on using these data. (ru.nl)
  • 11- 13 A causal role for aggregation in cell death in tissue culture models of OPMD is supported by complementary data from our lab and Rouleau's group. (bmj.com)
  • Hence, all probabilistic parame- its for hazardous chemicals is protection of human ters used in the model are based on actual human data. (cdc.gov)
  • Treatment-related MDS is a distinct subtype of myelodysplasia, and we have developed the first prognostic model specific for these patients," said first author Alfonso Quintás-Cardama, MD, who presented the data during an oral scientific session here at the American Society of Hematology 53rd Annual Meeting. (medscape.com)
  • Using these data from the multivariate analysis, the authors developed a model that divided patients into 3 prognostic groups. (medscape.com)
  • Penalized mediation models for multivariate data. (cdc.gov)
Computational4
  • By being able to model them instead, the computational time to compute them may be reduced, and using them to select more appropriately during evolution will be pragmatic. (mun.ca)
  • Most existing methods require substantial computational effort that can be prohibitive for large-scale modeling. (illinois.edu)
  • Computational experiments with five types of models were conducted, and the solution to a problem related to fast-food restaurant profit generation was reviewed. (researchgate.net)
  • Knabe, J. F. Computational Genetic Regulatory Networks: Evolvable, Self-organizing Systems . (panmental.de)
20191
  • Significance Statement Coronavirus disease 2019 (COVID-19) forecasting models can provide critical information for decision-makers and the public. (medrxiv.org)
Humans2
  • Cats and humans have neurological, hormonal, and genetic makeups which are far more alike than they are different. (adoptapet.com)
  • There exists a high degree of genetic similarity between humans and apes. (evolutionnews.org)
Methodology3
  • To our knowledge, thus far, none of the reviews of CF animal models has used a systematic methodology. (ru.nl)
  • The advantage of the OOEG representation is that allows supporting a modelling methodology where systems are described by linking components analogously as the system components are linked, and the dynamic of the systems can be visualized in terms of interactions between objects, which have their physical correspondence in the real world. (researchgate.net)
  • Rather, it highlights the evaluation methodology and indicates the utility associated with using the CM when assessing probabilistic performance and constructing high performing ensembles, not only for COVID-19 modeling but other applications as well. (medrxiv.org)
Mice4
  • Mice with heterozygous deletion of Scn1a (Scn1a(+/-) ) model a number of Dravet syndrome features, including spontaneous seizures and premature lethality. (nih.gov)
  • The mission of the Genetic Engineering Technologies (GET) group is to provide The Jackson Laboratory's faculty a one stop shop access to technical expertise, instrumentation, and centralized facilities necessary to carry out complex genetic engineering and to create genetically modified mice. (jax.org)
  • We are fully competent taking a project from concept to delivery of live mice and performing genetic engineering in our laboratories, including allele design, construct development, microinjection, and genotyping of founder mice. (jax.org)
  • In genetic (nonobese diabetic) and toxin-elicited (streptozotocin) models of diabetes in mice, we demonstrate defects in gastric emptying and nonadrenergic, noncholinergic relaxation of pyloric muscle, which resemble defects in mice harboring a deletion of the neuronal nitric oxide synthase gene (nNOS). (jci.org)
Biological6
  • Mechanistic animal growth models can incorporate a description of the genotype as represented by underlying biological traits that aim to specify the animal's genetic potential for performance, independent from the environmental factors captured by the models. (ed.ac.uk)
  • Some of the resulting parameter estimates associated with each breed differ substantially, implying that the genetic differences between the breeds are represented in the underlying biological traits. (ed.ac.uk)
  • Potential value comes from the estimation of underlying biological trait components and the explicit description of their expression across a range of environments as predicted by the model equations. (ed.ac.uk)
  • Fish models are essential for research in many biological and medical disciplines. (awionline.org)
  • Organoid cell culture has transformed cell-based assays in drug discovery and basic biology by conferring physiologic relevance to in vitro cell-based biological models. (corning.com)
  • Knabe, J. F., Nehaniv, C. L. and Schilstra, M. J. Genetic Regulatory Network models of Biological Clocks: Evolutionary history matters. (panmental.de)
Disease19
  • The animal model recapitulates the human liver disease, in which the livers accumulate polymers of alpha-1-antitrypsin mutant Z protein, developing fibrosis and hepatocellular carcinoma with age', says Dr. Marcus. (news-medical.net)
  • Identifying people at risk of genetic disease has helped decrease the burden of such diseases on families and society. (who.int)
  • Harvard Stem Cell Institute (HSCI) researchers at Brigham and Women's Hospital (BWH) have combined cutting-edge, gene-editing techniques with stem cell science to for the first time successfully model genetic kidney disease in lab-grown, mini-kidneys. (harvard.edu)
  • The study provides a proof-of-concept that we can use a genetic approach to make kidney disease in a dish," said Joseph Bonventre , MD, PhD, HSCI Principal Faculty, Chief of the Renal Division at Brigham and Women's Hospital at Harvard , and the study's senior author. (harvard.edu)
  • We were interested in creating disease models using these kidney organoids, " he added. (harvard.edu)
  • Mutation of a single gene results in changes in kidney structures associated with human disease, allowing better understanding of the disease and serving as models to develop therapeutic agents to treat these diseases," Bonventre said. (harvard.edu)
  • Diapocynin also halted the disease progression in a chronic mouse model of PD. (springer.com)
  • Cystic fibrosis (CF) is a genetic disease that can be detected in newborn infants (i.e., those aged less than or equal to 1 month) by immunotrypsinogen testing. (cdc.gov)
  • Information is lacking about the benefits and risks of genetic testing, the efficacy of early interventions, and the population distribution of genotypes and other risk factors associated with disease conditions. (cdc.gov)
  • Because CF is a genetic disease that affects one in 3,800 newborns, public awareness of CF can be expected to increase, generating more requests for CF screening. (cdc.gov)
  • Lesion material from Treponema-associated Hoof Disease of wild elk induces disease pathology in the sheep Digital Dermatitis model. (usda.gov)
  • By providing greater physiologic relevance and a species- or patient-specific test platform, organoids overcome many limitations of conventional 2D cultures and even live-animal disease models. (corning.com)
  • In addition HUB generated models for other diseases such as Inflammatory Bowel Disease (IBD), Chronic Obstructive Pulmonary Disease (COPD) and genetic diseases such as cystic fibrosis (CF). The company has also introduced adult stem cell-derived kidney organoids, and continues to investigate the molecular mechanisms of tissue development and cancer using organoids generated from adult Lgr5 stem cells. (corning.com)
  • Dr Clevers' technology allowed, for the first time, the expansion of adult stem cell-derived organoids in genetically stable form and ultimately, the generation of in vitro models of any epithelial disease from any patient. (corning.com)
  • Fanconi anaemia ( FA ) is a rare genetic disease resulting in impaired response to DNA damage. (wikipedia.org)
  • Genetic and transgenic studies are consistent with a model where expanded polyglutamines cause disease by conferring a novel toxic function on the disease proteins. (bmj.com)
  • Priya Duggal, PhD, Associate Professor, Johns Hopkins Bloomberg School of Public Health, will discuss her research on host genetic susceptibility to infectious disease, focusing on AFM. (cdc.gov)
  • However, current commercially available genetic risk scores can be deceiving as they do not consider other, easily attainable risk factors, such as sex, BMI, age, smoking habits, parental disease status and physical activity. (cdc.gov)
  • This study aimed to investigate the determinants of Mycobacterium leprae infection and illness due to leprosy in contacts of cases of the disease in the Microregion of Almenara, Minas Gerais, Brazil, to support the construction of a leprosy prediction model in contacts of patients from endemic regions. (bvsalud.org)
Factors12
  • We then motivate mixed models in the context of unmodeled factors. (biorxiv.org)
  • These prominent theories converge on the proposition that genetic factors play a significant role in individual differences in Environmental Sensitivity (ES) [ 1 , 2 , 5 ]. (nature.com)
  • However, no studies to date have examined the heritability of ES in order to empirically test the proposed role of genetic factors. (nature.com)
  • The structure of genetic and environmental risk factors. (cambridge.org)
  • Although prior genetic studies of interview-assessed fears and phobias have shown that genetic factors predispose individuals to fears and phobias, they have been restricted to the DSM-III to DSM-IV aggregated subtypes of phobias rather than to individual fearful and phobic stimuli. (cambridge.org)
  • The best-fitting model for the 21 phobic stimuli included four genetic factors (agora-social-acrophobia, animal phobia, blood-injection-illness phobia and claustrophobia) and three environmental factors (agora-social-hospital phobia, animal phobia, and situational phobia). (cambridge.org)
  • The genetic factors of the phobias support the DSM-IV and DSM-5 constructs of animal and blood-injection-injury phobias but do not support the separation of agoraphobia from social phobia. (cambridge.org)
  • This research deals with goal setting based on a model of the future by presenting the goal and subgoal in the form of concrete quantitative and qualitative characteristics and stepwise formation of factors. (researchgate.net)
  • The differences in susceptibility to noise induced hearing loss (NIHL) which may be attributed to genetic factors were discussed. (cdc.gov)
  • Generalized linear mixed models were used to analyse factors associated with pulmonary function test results. (who.int)
  • A more practical model of optimal ordering strategy is proposed, considering supply reliability, demand uncertainty, risk aversion, and retailer wealth, in which two random variables, supply reliability factors and demand, are introduced into the retailer's function of expected utility. (bvsalud.org)
  • the causes of diseases and the effects of environment, diet, Some factors, such as healthy diet and access to lifestyle, and genetic factors on human health. (medlineplus.gov)
Immune3
  • We combine this information with genetic, cellular and biochemical approaches to define how ubiquitin enzymes regulate immune cell biology. (upenn.edu)
  • We are now generating genetic models in which to test the the biologic relevance of these ligases in protective immune responses. (upenn.edu)
  • found that flight evolved in tandem with concomitant genetic changes to their innate immune systems. (cdc.gov)
Species5
  • This paper develops a method to model species' spatial distributions from environmental variables. (nerc.ac.uk)
  • On the other hand, Lotus japonicus has been selected as a model species be-cause of its simple genetic conditions (diploid, self-crossing, and short ontogenetic cycle). (uky.edu)
  • This is the case in particular in the presence of lateral genetic transfer (LGT), whereby a gene is inherited from a distant species rather than an immediate ancestor. (semanticscholar.org)
  • 2020. Skin swabbing is a refined technique to collect DNA from model fish species. (awionline.org)
  • lymphoid tissue, and digestive tract), which the animal model captures the It can be difficult to parse out concordance has often been ob- range of potential human response reasons for lack of tumour site con- served among different species after to the particular agent tested. (who.int)
Diseases6
  • Now, using gene-editing tools, researchers can engineer these mini-kidneys with specific genetic diseases . (harvard.edu)
  • Screening tests for certain genetic diseases among newborn infants (i.e., those aged less than or equal to 1 month) currently are widely accepted and used. (cdc.gov)
  • Organoids generated from dozens of tissues and organs available commercially, or accessible through published protocols include patient-derived models of liver , heart, pancreas, brain, GI tract, kidney, and recently, of human airways suitable for drug and vaccine development and for studying infectious human respiratory diseases. (corning.com)
  • Twins and their families have been ascertained in three stages from the Central Population Register for studies of the genetic and environmental determinants of common, chronic diseases. (helsinki.fi)
  • In mammalian cell based models of both polyglutamine and polyalanine diseases, the mutant proteins are much more prone to aggregate formation than their wild-type counterparts and cause significantly more cell death. (bmj.com)
  • The similarities between polyglutamine diseases and OPMD have led us to explore whether strategies that protect against polyglutamine aggregation or toxicity are also effective in OPMD models. (bmj.com)
Heritability3
  • Our aims were to estimate ICD heritability and to predict ICD by a candidate genetic multivariable panel in patients with PD. (bmj.com)
  • The present study investigated the genetic architecture of Environmental Sensitivity (ES) by estimating its heritability, exploring the presence of multiple heritable components and its genetic overlap with common personality traits. (nature.com)
  • Results indicate that the heritability of sensitivity was 0.47, and that the genetic influences underlying sensitivity to negative experiences are relatively distinct from sensitivity to more positive aspects of the environment, supporting a multi-dimensional genetic model of ES. (nature.com)
Mathematical1
  • In the past decade, mathematical modeling has become an important tool to study the regulation of toxin-antitoxin modules and their relation to the emergence of persister cells. (medworm.com)
Progression1
  • Test a Quantitative Difference model which stipulates that CTL responses to non-secreted bacterial antigens are too weak and/or too late to prevent the progression of LM infection. (usda.gov)
Prediction models1
  • The breast cancer risk prediction models performed similarly although on closer appraisal, the BOADICEA and IBIS models performed slightly better. (who.int)
Epidemiology1
  • Genetic epidemiology 2021 10 46 (1): 32-50. (cdc.gov)
Hierarchical model1
  • Different combinations of models were tested, and a hierarchical model selection was operated. (skemman.is)
Population9
  • Over the past 10 years, new approaches using mixed models have emerged to mitigate the deleterious effects of population structure and relatedness in association studies. (biorxiv.org)
  • Combining the results of these types of models with matrix analysis, it is also possible to evaluate the expected development of genetic structure in large-scale population networks over time. (coralcoe.org.au)
  • Although the results are specific to the set of life-history characteristics adopted in the simulations, they are robust, and provide a means of bridging the gap between observed marine population genetic patterns and oceanographic processes. (coralcoe.org.au)
  • Genetic diversity analysis is presented in order to characterize the degree of information that SSRs provide and identify groups or structures within the population that can influence association mapping analysis. (uky.edu)
  • The discussion includes building Keras models using either the Sequential Model or the Functional API, building an initial population of Keras model parameters, creating an appropriate fitness function, and more. (paperspace.com)
  • IMSEAR at SEARO: Can simple population genetic models reconcile partial match frequencies observed in large forensic databases? (who.int)
  • I use simple models that incorporate the product rule, population substructure, and relatedness to predict the expected number of matches in large databases. (who.int)
  • ID proponents are actively working on population genetics models and simulations to test these questions. (evolutionnews.org)
  • In addition, the model might facilitate the development of risk-adapted therapeutic strategies in this population. (medscape.com)
Diversity2
  • The high degree of human genetic diversity refutes Adam and Eve as the initial parents of humanity. (evolutionnews.org)
  • Two peer-reviewed papers and a book chapter have already been published in the ID-community related to modeling these questions, and early evidence suggests that an initial pair is capable of explaining human genetic diversity. (evolutionnews.org)
Epidemiological1
  • Kaprio, 1994) form a national resource for genetic epidemiological studies. (helsinki.fi)
Prognostic model3
  • A new prognostic model might help predict overall and leukemia-free survival among these patients with treatment-related MDS (t-MDS). (medscape.com)
  • The most widely used prognostic model in MDS is the International Prognostic Scoring System, which was developed by the Myelodysplastic Syndrome Working Group to predict survival and risk for transformation to acute myeloid leukemia. (medscape.com)
  • They developed a specific t-MDS prognostic model after evaluating the characteristics of a large cohort of patients with t-MDS. (medscape.com)
Approaches2
  • During the meeting, the ATSDR technical team provided overviews and technical details pertaining to the modeling approaches and activities performed to date. (cdc.gov)
  • Noninvasive genetic assessment is an effective wildlife research tool when compared with other approaches. (awionline.org)
Differences4
  • Theory suggests that such individual differences in susceptibility to environmental influences have a genetic basis. (nature.com)
  • The correlation between sensitivity, neuroticism and extraversion was largely explained by shared genetic influences, with differences between these traits mainly attributed to unique environmental influences operating on each trait. (nature.com)
  • However, to our knowledge there are no published studies examining the magnitude and determinants of racial differences in the use of genetic susceptibility testing. (nih.gov)
  • To investigate the relationship between race and the use of BRCA1/2 counseling among women with a family history of breast or ovarian cancer and to determine the contribution of socioeconomic characteristics, cancer risk perception and worry, attitudes about genetic testing, and interactions with primary care physicians to racial differences in utilization. (nih.gov)
Traits1
  • Finally, we aimed to investigate the genetic overlap between ES and common personality traits. (nature.com)
Evolution2
  • This will be done first by demonstrating the effectiveness of modelling these properties *a priori*, before expanding the system to show their effectiveness as evolution occurs. (mun.ca)
  • No Convergent Evolution of Genetic Regulatory Network Subgraph Topologies. (panmental.de)
Systematic5
  • A systematic approach to creating model overviews can lead to an objective, evidence-based choice of an animal model for new research questions. (ru.nl)
  • As far as the authors are aware, this is one of the largest systematic mapping reviews on genetic animal models for CF. It can aid in selecting a suitable model and outcome measures. (ru.nl)
  • Further systematic reviews are warranted to determine the quality and translational value of these models further. (ru.nl)
  • We developed two models to screen for prediabetes using an artificial neural network (ANN) and support vector machine (SVM) and performed a systematic evaluation of the models using internal and external validation. (hindawi.com)
  • The choice of the explanatory variables included in the analysis was based on the theoretical model of the determinants of leprosy in contacts, developed from a systematic review. (bvsalud.org)
Gene4
  • A new gene doubling operator appears critical to the formation of new genetic alternatives in the preliminary but encouraging results presented. (nips.cc)
  • It is proved that FastMulRFS is polynomial time and statistically consistent under a generic model of gene duplication and loss provided that only duplications occur or only losses occur, and that it matches the accuracy of MulRF and has better accuracy than ASTRAL-multi. (semanticscholar.org)
  • Most of these models have an altered Cftr gene. (ru.nl)
  • 2. Nuclear transfer is a technique used to duplicate genetic material by creating an embryo through the transfer and fusion of a diploid cell in an enucleated female oocyte.2 Cloning has a broader meaning than nuclear transfer as it also involves gene replication and natural or induced embryo splitting (see Annex 1). (who.int)
Organoids1
  • Just last week, Bonventre and a team of HSCI/BWH investigators published research involving the creation of human kidney organoids, three-dimensional mini-organs grown in a lab dish, to model human kidney development and to test for drug toxicity. (harvard.edu)
Recombinant2
  • Design of recombinant DNA molecules for genetic modification. (irbbarcelona.org)
  • Optimal operating conditions for both process and genetic variables are determined for producing improved quantity and quality of recombinant protein. (tufts.edu)
Study11
  • The main purpose of our study was to define an animal model of vagal hyperreactivity and its genetic transmission. (pasteur.fr)
  • This study describes the first model of spontaneous vagal pauses. (pasteur.fr)
  • In this study we quantified maternal behavior in genetic epileptic rats with deficiencies in the DA system known to be involved in maternal behavior in order to assess whether these rats have disturbances in maternal care. (edu.pl)
  • The purpose of this study is to find out whether the study drug, LY3537982, is safe and effective in cancer patients who have a specific genetic mutation (KRAS G12C). (clinicaltrials.gov)
  • Our objective in this study was to analyze the genetic divergence between the first four lactations of Alpine goats . (bvsalud.org)
  • Panel members were provided with background information regarding ATSDR's current epidemiologic study, including activities conducted thus far, findings to date, and the role of modeling and historical reconstruction in the study. (cdc.gov)
  • Case-control study (December 1999-August 2003) of 408 women with a family history of breast or ovarian cancer, of whom 217 underwent genetic counseling for BRCA1/2 testing (cases) and 191 women did not (controls). (nih.gov)
  • This study aimed at developing an intelligence-based screening model for prediabetes. (hindawi.com)
  • The prescreening methods developed in this study performed better than the screening score model that had been developed previously and may be more effective method for prediabetes screening. (hindawi.com)
  • In this study, we aimed to develop and validate models to predict prediabetes using artificial neural network (ANN) and support vector machine (SVM) methods, which could be effective as simple and accurate screening tools. (hindawi.com)
  • With its limited scope, this study does not provide definitive conclusions on model performance. (medrxiv.org)
Studies5
  • A series of simulation studies are carried out to confirm the effectiveness of the proposed new model. (elsevier.com)
  • We included all primary studies describing an animal model for CF. After duplicate removal, 12,304 publications were left. (ru.nl)
  • Since then, studies involving screening newborns for CF have continued, treatments for CF have evolved, and the public's interest in genetic testing has increased. (cdc.gov)
  • Proposed studies would test mechanisms that may be responsible for the increased incidence of prostate cancer in exposed individuals using mouse genetic models. (cdc.gov)
  • Findings seeks to understand how were done using mouse models, environmental exposures which will be used to inform lead to epigenetic changes-- human studies. (medlineplus.gov)
Risk3
  • These models are simple, appropriate, cost-effective, and non-invasive tools for identifying high-risk women in low- and middle-income countries who could benefit from mammography screening. (who.int)
  • Can Genetic Risk Scores Score a Win for Precision Prevention? (cdc.gov)
  • The growing public interest in genetic risk scores for various health conditions can be harnessed to inspire preventive health action. (cdc.gov)
Processes3
  • Cattle are a useful model for reproductive processes in women, due to the similarities in the reproductive cycles. (agri.gov.il)
  • Overall, the dynamic metabolic model serves as a powerful tool to aid laboratory experiments, providing savings in time, money, and resources, as well as an improved understanding of the biochemical mechanisms driving the processes. (tufts.edu)
  • Theoretical representations that simulate the behavior or activity of genetic processes or phenomena. (bvsalud.org)
Evolutionary2
  • A new stock price prediction model is proposed based on Genetic Network Programming (GNP), i.e., an evolutionary computation recently developed. (elsevier.com)
  • For example, in evolutionary theory the "noise" is the random variations in the genetic constitution produced by cosmic radiation and other external influences on the genetic material. (amacad.org)
Closely2
  • and derived distances), taking a mutation model of microsatellites, the Stepwise Mutation Model, specifically into account, exhibit large variance and therefore should not be used to accurately infer phylogeny of closely related breeds. (gse-journal.org)
  • Expectation and variance of distances were calculated as a function of the Wright-Malécot inbreeding coefficient, F . Computer simulations performed under this divergence model show that the Reynolds distance [57]is the best method for very closely related breeds. (gse-journal.org)
Behavior1
  • Schwartz PJ, Crotti L. QTc behavior during exercise and genetic testing for the long-QT syndrome. (medlineplus.gov)
Preventive1
  • In a recent JAMA viewpoint, Psaty and coauthors compare precision medicine and preventive medicine as two distinct models in medicine and public health. (cdc.gov)
Divergence1
  • In this paper we review the behaviour of the main distances encountered in the literature in various divergence models. (gse-journal.org)
Neurological1
  • Tourette syndrome (TS) is a common genetic neurological disorder characterized by chronic motor and vocal tics beginning before adulthood. (medscape.com)
Cystic fibrosis1
  • Animal models for cystic fibrosis (CF) have enhanced our understanding of the pathology and contributed to the development of new treatments. (ru.nl)
Logistic regression2
  • We compared the performance of our models with that of a screening score model based on logistic regression analysis for prediabetes that had been developed previously. (hindawi.com)
  • The association analysis used a logistic regression model using the Generalized Estimating Equations estimation method. (bvsalud.org)
Genetically modified1
  • Our primary function is to generate genetically modified mouse models for users within IRB Barcelona. (irbbarcelona.org)
Human7
  • This evaluation was consistent with preliminary recommendations of the Department of Health and Human Services Secretary's Advisory Committee on Genetic Testing. (cdc.gov)
  • Levels of nitrite (NO 2 − ), a metabolite of nitric oxide ( · NO and inducible nitric oxide synthase (iNOS) are higher in the central nervous system of human PD cases and in animal models of PD [ 6 ]. (springer.com)
  • Of the 50 mutants with an epidermal phenotype, 9 map to human genetic conditions with skin abnormalities. (nature.com)
  • In-depth analysis of three mutants, Krt76, Myo5a (a model of human Griscelli syndrome) and Mysm1 , provides validation of the screen. (nature.com)
  • While small, it is powerful, and a good model to understand human brains. (adoptapet.com)
  • Moreover, it allows to construct an FRBS model defined by human experts. (r-project.org)
  • An cordance (i.e. lack of response or exposure to a given IARC Group 1 integral consideration for the devel- common responses between spe- human carcinogen (see Chapter 21, opment and use of these models is cies). (who.int)
Transcriptome1
  • Here, we introduce a new method, Summary-level Unified Method for Modeling Integrated Transcriptome (SUMMIT), to improve the expression prediction model accuracy and the power of TWAS by using a large expression quantitative trait loci (eQTL) summary-level dataset. (bvsalud.org)
PDF] Species Trees from Gene Trees Despite a High Rate of Lateral Genetic Transfer: A Tight Bound (Extended Abstract) |...
PDF] Species Trees from Gene Trees Despite a High Rate of Lateral Genetic Transfer: A Tight Bound (Extended Abstract) |... (semanticscholar.org)
Genetic variation in OGDH and human longevity
Genetic variation in OGDH and human longevity (genomics.senescence.info)
Community Mitigation Guidelines to Prevent Pandemic Influenza - United States, 2017 | MMWR
Community Mitigation Guidelines to Prevent Pandemic Influenza - United States, 2017 | MMWR (cdc.gov)
Minerals | Free Full-Text | Genesis of the Koka Gold Deposit in Northwest Eritrea, NE Africa: Constraints from Fluid Inclusions...
Minerals | Free Full-Text | Genesis of the Koka Gold Deposit in Northwest Eritrea, NE Africa: Constraints from Fluid Inclusions... (mdpi.com)
Community and Research Perspectives on Cancer Disparities in Wisconsin
Community and Research Perspectives on Cancer Disparities in Wisconsin (cdc.gov)
Detecting Local Adaptation with Climate-Informed Spatial Genetic Models | LocalAdaptation Project | News & Multimedia | H2020 |...
Detecting Local Adaptation with Climate-Informed Spatial Genetic Models | LocalAdaptation Project | News & Multimedia | H2020 |... (cordis.europa.eu)
Atrial Fibrillation Treatment & Management: Approach Considerations, Risk-Management Decisions, Management of New-Onset AF
Atrial Fibrillation Treatment & Management: Approach Considerations, Risk-Management Decisions, Management of New-Onset AF (medscape.com)
Atrial Fibrillation Treatment & Management: Approach Considerations, Risk-Management Decisions, Management of New-Onset AF
Atrial Fibrillation Treatment & Management: Approach Considerations, Risk-Management Decisions, Management of New-Onset AF (medscape.com)
Enhancing dopaminergic signaling and histone acetylation promotes long-term rescue of deficient fear extinction | Translational...
Enhancing dopaminergic signaling and histone acetylation promotes long-term rescue of deficient fear extinction | Translational... (nature.com)
Figure 1 - Genetic Diversity among Clonal Lineages within Escherichia coli O157:H7 Stepwise Evolutionary Model - Volume 13,...
Figure 1 - Genetic Diversity among Clonal Lineages within Escherichia coli O157:H7 Stepwise Evolutionary Model - Volume 13,... (wwwnc.cdc.gov)
Figure 2 - Genetic Diversity among Clonal Lineages within Escherichia coli O157:H7 Stepwise Evolutionary Model - Volume 13,...
Figure 2 - Genetic Diversity among Clonal Lineages within Escherichia coli O157:H7 Stepwise Evolutionary Model - Volume 13,... (wwwnc.cdc.gov)
Genetic Diversity among Clonal Lineages within Escherichia coli O157:H7 Stepwise Evolutionary Model - Volume 13, Number 11...
Genetic Diversity among Clonal Lineages within Escherichia coli O157:H7 Stepwise Evolutionary Model - Volume 13, Number 11... (wwwnc.cdc.gov)
Figure 3 - Genetic Diversity among Clonal Lineages within Escherichia coli O157:H7 Stepwise Evolutionary Model - Volume 13,...
Figure 3 - Genetic Diversity among Clonal Lineages within Escherichia coli O157:H7 Stepwise Evolutionary Model - Volume 13,... (wwwnc.cdc.gov)
Model Performance Evaluation Program Report of Results | MPEP | Laboratory Information | TB | CDC
Model Performance Evaluation Program Report of Results | MPEP | Laboratory Information | TB | CDC (cdc.gov)
بحث
بحث (apps.who.int)
Tourette Syndrome and Other Tic Disorders: Practice Essentials, Background, Pathophysiology
Tourette Syndrome and Other Tic Disorders: Practice Essentials, Background, Pathophysiology (medscape.com)
Tourette Syndrome and Other Tic Disorders Treatment & Management: Approach Considerations, Treatments for Tics, Treatment for...
Tourette Syndrome and Other Tic Disorders Treatment & Management: Approach Considerations, Treatments for Tics, Treatment for... (medscape.com)
Tourette Syndrome and Other Tic Disorders Treatment & Management: Approach Considerations, Treatments for Tics, Treatment for...
Tourette Syndrome and Other Tic Disorders Treatment & Management: Approach Considerations, Treatments for Tics, Treatment for... (medscape.com)
Pediatric Depression: Practice Essentials, Background, Pathophysiology
Pediatric Depression: Practice Essentials, Background, Pathophysiology (emedicine.medscape.com)
Pediatric, Developmental & Genetic Ophthalmology Section | National Eye Institute
Pediatric, Developmental & Genetic Ophthalmology Section | National Eye Institute (nei.nih.gov)
NEI Research News | National Eye Institute
NEI Research News | National Eye Institute (nei.nih.gov)
Prostate Cancer Workup: Approach Considerations, Prostate Cancer Screening, Prostate-Specific Antigen
Prostate Cancer Workup: Approach Considerations, Prostate Cancer Screening, Prostate-Specific Antigen (medscape.com)
News Releases | National Institutes of Health (NIH)
News Releases | National Institutes of Health (NIH) (nih.gov)
Researchers study enhanced genetic animal model of Down syndrome | National Institutes of Health (NIH)
Researchers study enhanced genetic animal model of Down syndrome | National Institutes of Health (NIH) (nih.gov)
Genetic studies lead the way to understanding EVA, a childhood hearing disorder | NIDCD
Genetic studies lead the way to understanding EVA, a childhood hearing disorder | NIDCD (nidcd.nih.gov)
NIAAA Publications
NIAAA Publications (pubs.niaaa.nih.gov)
Obesity: Practice Essentials, Background, Pathophysiology
Obesity: Practice Essentials, Background, Pathophysiology (medscape.com)
Adhesive Capsulitis in Physical Medicine and Rehabilitation: Background, Pathophysiology, Epidemiology
Adhesive Capsulitis in Physical Medicine and Rehabilitation: Background, Pathophysiology, Epidemiology (emedicine.medscape.com)
Genetic Factors Account for the Majority of Autism Risk
Genetic Factors Account for the Majority of Autism Risk (medscape.com)
Developmental Neurobiology Group - Genetic and Environmental Perturbations During Development
Developmental Neurobiology Group - Genetic and Environmental Perturbations During Development (niehs.nih.gov)