BACKGROUND: Gene-environment interaction studies offer the prospect of robust causal inference through both gene identification and instrumental variable approaches. As such they are a major and much needed development. However, conducting these studies using traditional methods, which require direct participant contact, is resource intensive. The ability to conduct gene-environment interaction studies remotely would reduce costs and increase capacity. AIM: To develop a platform for the remote conduct of gene-environment interaction studies. METHODS: A random sample of 15,000 men and women aged 50+ years and living in Cardiff, South Wales, of whom 6,012 were estimated to have internet connectivity, were mailed inviting them to visit a web-site to join a study of successful ageing. Online consent was obtained for questionnaire completion, cognitive testing, re-contact, record linkage and genotyping. Cognitive testing was conducted using the Cardiff Cognitive Battery. Bio-sampling was randomised to blood
Methods A random sample of men and women aged 50+ years and living in Cardiff, South Wales were mailed inviting them to visit a website to join a study of successful ageing. Online consent was obtained for questionnaire completion, cognitive testing, re-contact, record linkage and genotyping. Cognitive testing was conducted using the Cardiff Cognitive Battery. Bio-sampling was randomised to blood spot, buccal cell or no request. ...
TY - JOUR. T1 - Hormonal and environmental interactions on thyroid function in the chick embryo and posthatching chicken. AU - Kuhn, E. R.. AU - Decuypere, E.. AU - Rudas, P.. PY - 1984. Y1 - 1984. N2 - Recent research has focused on developmental changes in thyroxine (T4) metabolism as well as hormonal and environmental interactions upon peripheral monodeiodination. Toward the end of incubation and the time of air space membrane perforation, concentrations of 3,3,5-triiodothyronine T3 increase more rapidly than T4, while reverse T3 (rT3) decreases. Administration of glucocorticoids or prolactin (hormones known to increase at the end of incubation) 2 to 3 days prior to air chamber perforation can induce this change in T4 metabolism. Attention has been focused on 2 major environmental factors that influence T4 concentrations in posthatch chicks. T4 disappearance rate and peripheral T4 conversion are adjusted during thermal acclimation. More T3 will be generated in cold-exposed chickens, and ...
The potential public health benefits of targeting environmental interventions by genotype depend on the environmental and genetic contributions to the variance of common diseases, and the magnitude of any gene-environment interaction. In the absence of prior knowledge of all risk factors, twin, family and environmental data may help to define the potential limits of these benefits in a given population. However, a general methodology to analyze twin data is required because of the potential importance of gene-gene interactions (epistasis), gene-environment interactions, and conditions that break the equal environments assumption for monozygotic and dizygotic twins. A new model for gene-gene and gene-environment interactions is developed that abandons the assumptions of the classical twin study, including Fishers (1918) assumption that genes act as risk factors for common traits in a manner necessarily dominated by an additive polygenic term. Provided there are no confounders, the model can be used to
AMD is the leading cause of irreversible vision loss in developed countries. Its multifactorial etiology includes both genetic and environmental risk factors. As much as 65% of the genetic contribution to AMD risk may be explained by known genes. The remaining genetic factors may be genes or pathways containing multiple variants with small effect, or variants that interact with the environment to modulate disease. However, gene-environment interactions have been relatively understudied in AMD, and there were no methods for gene or pathway analysis that incorporated environmental effects. Therefore, the overall goal of this project was to address this gap in knowledge and identify novel AMD loci with significant gene-environment interaction effects that were missed in previous studies of strong main effects only. I examined an existing imputed GWAS dataset of 1,207 white AMD cases and 686 unaffected white controls. First, I conducted a genome-wide screen for gene-environment interactions with two
Quantitative methods play an important role in the fields of epidemiology and statistics. The intent of this review series is to provide readers with clearly written chapters on classical statistical and epidemiologic methods as well as new techniques in the literature that are not currently covered in standard textbooks in the field. Example topics of interest include: • Randomized clinical trials • Gene-environment interaction studies • Longitudinal studies • Cohort studies • Case-only studies • Case-referent studies • Misclassification bias • Selection bias • Confounding by indication • Population-projection methods • Poisson / log-binomial regression • Beta-binomial regression • Logistic regression • Survival analysis • Sample size computation • Sinusoidal models • Log-linear models •
PubMed comprises more than 30 million citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.
Conduct disorder (CD) causes high financial and social costs, not only in affected families but across society, with only moderately effective treatments so far. There is consensus that CD is likely caused by the convergence of many different factors, including genetic and adverse environmental factors. There is ample evidence of gene-environment interactions in the etiology of CD on a behavioral level regarding genetically sensitive designs and candidate gene-driven approaches, most prominently and consistently represented by MAOA. However, conclusive indications of causal GxE patterns are largely lacking. Inconsistent findings, lack of replication and methodological limitations remain a major challenge. Likewise, research addressing the identification of affected brain pathways which reflect plausible biological mechanisms underlying GxE is still very sparse. Future research will have to take multilevel approaches into account, which combine genetic, environmental, epigenetic, personality, ...
Power comparison of different methods to detect genetic effects and gene-environment interactions. . Biblioteca virtual para leer y descargar libros, documentos, trabajos y tesis universitarias en PDF. Material universiario, documentación y tareas realizadas por universitarios en nuestra biblioteca. Para descargar gratis y para leer online.
Although case-control studies are suitable for assessing gene-environment interactions, choosing appropriate control subjects is a valid concern in these studies. The authors review three nontraditional study designs that do not include a control group : 1 the case-only study, 2 the case-parental control study, and 3 the affected relative-pair...
There is increasing evidence to support the theory that gene-environment interactions are involved in shaping the ADHD phenotype. The objective of this study was to investigate the neural correlates of the most prominent dopaminergic candidate genes (DRD4 and DAT1) for ADHD, prenatal exposure to alcohol or smoking, and their interaction during response inhibition (the ability to suppress inappropriate response) in adolescents and young adults with and without ADHD.. Participants were originally enrolled in the NeuroIMAGE study, a follow-up of the Dutch part of the International Multicentre ADHD Genetics (IMAGE) study. ADHD was assessed using the Kiddie Schedule for Affective Disorders and Schizophrenia - Present and Lifetime version and the Conners Rating Scales. Prenatal exposure to maternal alcohol use and smoking was obtained retrospectively via a structured questionnaire that was completed by the parents, and standard polymerase chain reaction protocols on DNA extracted from blood samples ...
We have recently suggested that polymorphisms in metabolism and repair pathways may play a role in modulating the effects of exposure to the carcinogen vinyl chloride in the production of biomarkers of its mutagenic damage. The aim of the present study was to extend these observations by examining gene-environment interactions between several common polymorphisms in the DNA repair genes XRCC1 and
Background: Most genetic variants associated with breast cancer risk have been discovered in women of European ancestry, and only a few genome-wide association studies (GWAS) have been conducted in minority groups. This research disparity persists in post-GWAS gene-environment interaction analyses. We tested the interaction between hormonal and lifestyle risk factors for breast cancer, and ten GWAS-identified single nucleotide polymorphisms (SNPs) among 2,107 Hispanic women with breast cancer and 2,587 unaffected controls, to gain insight into a previously reported gene by ancestry interaction in this population. Methods: We estimated genetic ancestry with a set of 104 ancestry-informative markers selected to discriminate between Indigenous American and European ancestry. We used logistic regression models to evaluate main effects and interactions. Results: We found that the rs13387042-2q35(G/A) SNP was associated with breast cancer risk only among postmenopausal women who never used hormone ...
Malhotra, Jyoti et al "Effect of Occupational Exposures on Lung Cancer Susceptibility: A Study of Gene-Environment Interaction Analysis." Cancer Epidemiology and Prevention Biomarkers (2015): . Web. 07 July. 2020. ...
The strong association between HLA and seroconversion to a specific islet autoantibody found in TEDDY children up to 6 years of age argues that the association between HLA and type 1 diabetes at the time of clinical diagnosis is secondary to a primary association between HLA and an autoimmune response to either IAA only or GADA only.. The differences seen between HLA-DR genotypes and between the effects of INS and CTLA4 gene polymorphisms suggest specific interactions or immunogenic pathways, e.g., the total absence of DR3/3 and a higher proportion of DR3/4 among those who seroconverted at 3 or 6 months compared with those who seroconverted at 9 months of age or after. Although genes in the HLA region remain the most important genetic risk factors for type 1 diabetes, other non-HLA genetic factors also contribute to seroconversion to IAA, GADA, or both.. TEDDY has carefully collected possible exposures that may be important to IA including prenatal and perinatal events, the introduction of first ...
Regular exercise has been shown to improve control of lipid abnormalities, diabetes mellitus, hypertension, and obesity, with the greatest benefits realized by sedentary individuals who begin to exercise. Responses to exercise interventions are often highly variable among individuals, however, and r …
Mukherjee, B., Ko, Y-A., VanderWeele, T., Roy, A., Park, S.K., Chen, J. Principal interactions analysis for repeated measures data: application to gene-gene and gene-environment interactions.. Many existing cohorts with longitudinal data on environmental exposures, occupational history, lifestyle/ behavioral characteristics, and health outcomes have collected genetic data in recent years. In this paper, we consider the problem of modeling gene-gene and gene-environment interactions with repeated measures data on a quantitative trait. We review possibilities of using classical models proposed by Tukey (1949) and Mandel (1961) using the cell means of a two-way classification array for such data. Although these models are effective for detecting interactions in the presence of main effects, they fail miserably if the interaction structure is misspecified. We explore a more robust class of interaction models that are based on a singular value decomposition of the cell-means residual matrix after ...
PubMed comprises more than 30 million citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.
Therapygenetics refers to the prediction of psychological therapy outcomes from genetic markers. The rationale for this research derives from the gene-environment interaction literature, which has ... More. Therapygenetics refers to the prediction of psychological therapy outcomes from genetic markers. The rationale for this research derives from the gene-environment interaction literature, which has shown that individual differences in susceptibility to the environment are at least partly due to genetic variation for a wide range of phenotypes. While initially framed within the context of the diathesis-stress model, this idea has since been developed in a number of ways. Most notably, some genetic markers that place an individual at risk of a poor outcome following a stressful event may reflect environmental susceptibility markers, and thus may also enhance the likelihood of an individual benefiting from a positive environment, including psychological intervention. This chapter reviews the ...
The causal molecular interplay underpinning the pathophysiological mechanisms of complex diseases remains elusive despite the recent discovery of thousands of associated polymorphisms. The following presentations addressed this phenome-genome gap. Chirag J Patel (Stanford University, USA) identified gene-environment interactions contextual to diabetes type 2 with an original integration of three datasets: gene-environment interactions, disease-SNP associations and disease-environment associations. The evaluation remains qualitative: among the six predictions, one had been characterized previously. Using mutual information of the transcriptome, Pavel Sumazin (Columbia University, USA) reported a new regulatory mechanism at the miRNOME scale, known as sponge modulators, which consists of 248,000 micro-RNA-mediated RNA interactions that collectively regulate canonical oncogenic pathways in glioblastoma. He confirmed experimentally that the sponge modulators are mechanistically responsible for loss ...
Cardiovascular (CVD) and metabolic (MetS) diseases constitute a major public-health burden and, therefore, understanding the genetic basis of these traits is ve...
Just as psychotic disorders, their symptoms,course, and treatment response vary between individuals, they differ across places and demographic groups too.
... and associated diseases (type-2 diabetes [T2D], hypertension, etc.) are rising exponentially to pandemic levels worldwide. Despite major advances in our understanding of the signaling pathways involved in energy homeostasis, we currently possess very few safe and effective therapeutic answers to obesity. Identifying new mechanisms that have the potential to inform about the development of more efficacious and safer drugs represents a major need for society and a challenge for the biomedical field. This latest thematic series in Genes and Nutrition features invited topic reviews by leaders in the field, which focus on established and novel major determinants of the Obesity epidemic such as dietary fat, branched chain amino acids and probiotics, and gene X environment interaction, as well as gut microbiota and microRNA ...
same DNA content, including the "regulatory" elements; whether a gene is expressed or not still varies from cell type to cell type depending on something else as well. In other words, Lillies "paradox" forces the question: "who regulates the regulators"? This question reveals that "regulation" is nothing but a sloppy, semi-nonsensical wastepaper-basket term. Both coding and non-coding sequences can be "regulatory". Even environment can "regulate" gene expression. Genes are expressed differentially in cells, NEVER because of their "regulatory" sequences alone, but ALWAYS including the higher-level and environmental interactions at the cell and tissue level, which explain "Lillies paradox". (again: This is why developmental biology is different from genetics!). Focusing only on one type of mutations (cis-regulatory) is just a re-strengthened version of the old reductionist fallacy that genotype=phenotype. This false equivalence ultimately downplays the role of understanding development, the ...
These data establish linkage of rat genotype to a form of environmental perturbation-infection-that is potentially important in the pathogenesis of autoimmunity. They confirm that Iddm4 is an exceptionally strong non-MHC determinant of susceptibility to autoimmune diabetes in the rat (6,9-11). In previous studies of Iddm4, diabetes was induced by chronic treatment with poly I:C plus Treg depletion. The present data now extend the role of Iddm4 in diabetes pathogenesis to virus-induced disease expression. They also illuminate the complexity of environmental interaction with genetic susceptibility. The diabetogenic potential of Iddm4 is readily discernable in congenic rats treated with poly I:C and Treg depletion but is far less apparent in animals treated with KRV plus poly I:C unless additional BBDR genes are present. We have discovered at least one of these genes, designated Iddm20, on chromosome 17.. The Iddm20 interval (online appendix Table 3) contains at least one gene of particular ...
INTRODUCTION. Ageing is an inevitable process and veterinary surgeons cannot offer any miracle solution to this problem, but with increasing knowledge about the ageing process and the ways in which it can be affected by diet, lifestyle and medication, they can offer the means of increasing the quality of life for the ageing pet population.. Canine cognitive dysfunction. Canine cognitive dysfunction is a medical condition but in most cases there is a lack of recognisable clinical symptoms and the signs that lead to accurate diagnosis are almost entirely behavioural. Without the appropriate line of questioning in the consulting room many of these cases will go undetected. There are four main categories of presenting signs for this condition namely disorientation, changes in social and environmental interaction, changes in sleep/wake cycle and breakdown in housetraining. On their own each of these categories could be indicative of organic disease or of a purely behavioural condition but when signs ...
Soil plays a key role in enabling many life processes through actions including serving as the grounds for food and biomass production, monitoring environmental interactions and exchanges, storing...
512, 47-83, doi:10.1017/S0022112004009693.. Diner, D.J., T.P. Ackerman, T.L. Anderson, J. Bosenberg, A.J. Braverman, R.J. Charlson, W.D. Collins, R. Davies, B.N. Holben, C.A. Hostetler, R.A. Kahn, J.V. Martonchik, R.T. Menzies, M.A. Miller, J.A. Ogren, J.E. Penner, P.J. Rasch, S.E. Schwartz, J.H. Seinfeld, G.L. Stephens, O. Torres, L.D. Travis, B.A. Wielicki, and B. Yu, 2004: PARAGON: An integrated approach for characterizing aerosol climate impacts and environmental interactions ...
Jaffee, S. R. , Lombardi, C. M., & Coley, R. L. (2013). Using complementary methods to test whether marriage limits mens antisocial behavior. Development and Psychopathology, 25, 65-77.. Jaffee, S. R., Strait, L. B., & Odgers, C. L. (2012). From correlates to causes: Can quasi-experimental studies and statistical innovations bring us closer to identifying the causes of antisocial behavior? Psychological Bulletin, 138, 272-295.. Price, T. S., Grosser, T., Plomin, R., & Jaffee, S. R. (2010). Fetal genotype for the xenobiotic metabolizing enzyme NQO1 influences intrauterine growth among infants whose mothers smoked during pregnancy. Child Development, 81, 101-114.. Jaffee, S. R., & Price, T. S. (2007). Gene-environment correlations: A review of the evidence and implications for prevention of mental illness. Molecular Psychiatry, 12, 432-442.. Jaffee, S. R., Moffitt, T. E., Caspi, A., & Taylor, A. (2003). Life with (or without) father: The benefits of living with two biological parents depend on ...
Annotation: Observational study of gene-disease association gene-gene interaction and gene-environment interaction. (HuGE Navigator)Imported. ,p>Information which has been imported from another database using automatic procedures.,/p> ,p>,a href="/manual/evidences#ECO:0000313">More…,/a>,/p> Automatic assertion inferred from database entriesi. ...
Annotation: Observational study of gene-disease association gene-gene interaction gene-environment interaction and pharmacogenomic / toxicogenomic. (HuGE Navigator)Imported. ,p>Information which has been imported from another database using automatic procedures.,/p> ,p>,a href="/manual/evidences#ECO:0000313">More…,/a>,/p> Automatic assertion inferred from database entriesi. ...
In 2003, Avshalom Caspi and colleagues published an influential article (Google Scholar lists it as having almost 2000 citations in 6 years) claiming that genetic variation in the seratonin transposter gene influences how people respond to traumatic events--the particular, in terms of risk of depression. For years, this has been the poster-child example of gene-environment interactions (for whatever reason, finding significant interaction terms like this is the Holy Grail of human genetics for some). Like the more recent dubious breastfeeding-IQ-genetics story (led by the same group, it should be noted), the authors identified a phenotype they wished to study (depression), an environmental factor that plays a role in the phenotype (traumatic events), genotyped a couple markers in a gene they thought might reasonably be expected to play a role in that phenotype (seratonin), and found a "statistically significant" interaction. Voila ...
NIH Funding Opportunities and Notices in the NIH Guide for Grants and Contracts: Population-Based Model Organism Research for G x E Exploration in Complex Disease Outcomes (R01 Clinical Trial Not Allowed) RFA-ES-17-009. NIEHS
An important question is how to reveal the adequate approximation of the QTL × E interaction. With simulated data, it is easy to compare the adequate and the nonadequate approximations simply because we know the degrees of the polynomials employed in the simulations. However, the situation will be quite different when real data will be analyzed. Thus, the decision about the adequacy of the approximation should be justified statistically, i.e., we should decide about the adequate model, provided the class of the approximation functions is chosen correctly. This allows us to conclude that: (1) the adequate model MA3 was the best, i.e., it was chosen in more than half of the runs where the QTL × E interaction was detected and with a frequency that was threefold higher than the next best choice.. The last and most difficult problem is how to recognize the situations when the applied approximation is not valid. If the opposite is true, i.e., if the dependence of the QTL effect on environmental ...
Gene-environment interactions and obesity traits among postmenopausal African-American and Hispanic women in the Womens Health Initiative SHARe Study ...
Neurodevelopment is an intricate and dynamic process involving gene-environment interactions, which result in a series of changes in gene expression, cellular f...
Yo Jonah: Interesting paper. The methodology looks sound. Key sentence (from page 2): This article is the first to identify a specific gene-environment interaction that is associated with the direction of a person
El g-e naponta k tszer fogat mosni? Az elektromos vagy a hagyom nyos kefe jobb? Abba kell-e hagyni a fogmos st, ha v rzik az ny nk? A leggyakoribb t vhitekr l k rdezt nk szakembereket.
Asthma, hay fever and atopic dermatitis are complex diseases. Presumably, genetic factors that protected from infectious agents in the past do promote allergic disease in the absence of infectious agents. Linkage and candidate gene studies identified common as well as disease specific genetic determinants of atopic diseases. However, a large number of chromosomal regions and candidate genes were related to asthma and associated traits. International collaborations and meta analyses appear to be mandatory to identify the major genes for asthma and atopy. Also, gene-gene and gene-environment interaction analyses are of great importance to identify genetic risk factors for allergic diseases. Birth cohorts are particularly valuable since exposure to various environmental agents have been documented since early childhood. This work summarizes genetic and epidemiologic studies of the German Multicenter Allergy Study (MAS) that contributed significantly to our understanding of the development of asthma ...
Soils support agricultural and natural ecosystems and regulate environmental interactions between the hydrosphere and atmosphere. It is the quality of our soils that affect productivity, the environment, health and ultimately sustainability. However, challenges such as those presented by lack of plant nutrient supply, soil acidification, physical degradation, soil contamination, and loss of soil biodiversity are problems at a global scale that threaten the sustainability of the environment and society. As well as the threats the importance of maintaining a quality soil that regulates environmental interactions will be explored, such as soil as a sink for carbon affecting climate interactions or understanding how a rich soil biodiversity can contribute to food production affecting food security. To do this, this unit of study is concerned with exploring the key pedology, soil chemistry, soil physical and soil biological processes that drive these challenges to soil quality. Time will be spent ...
Doctors are interested in knowing whether disease can be prevented by reducing exposure to environmental risks. Some people carry genetic factors that confer susceptibility or resistance to a certain disorder in a particular environment. The interaction between the genetic factors and environmental stimulus is what results in the disease phenotype.[19] There may be significant public health benefits in using gene by environment interactions to prevent or cure disease.[20]. An individuals response to a drug can result from various gene by environment interactions.[19] Therefore, the clinical importance of pharmacogenetics and gene by environment interactions comes from the possibility that genomic, along with environmental information, will allow more accurate predictions of an individuals drug response. This would allow doctors to more precisely select a certain drug and dosage to achieve therapeutic response in a patient while minimizing side effects and adverse drug reactions.[21] This ...
In summary, available and replicated evidence on the genetic risk of NAFLD suggests presence of at least three missense variants in three different but biologically plausible loci (PNPLA3, TM6SF2 and GCKR) associated with the disease severity and progression. Nevertheless, the NAFLD-associated variants have a quite diverse effect on the susceptibility of NAFLD-from intermediate (~ OR 3.4) to low (OR 1.2). This, in turn results in a rather diverse frequency of the risk allele (MAF) (from ~30% for rs738409 to 7% for rs58542927) (Fig. 3). Collectively, these results support the notion of common variants [59] in the pathogenesis of NAFLD, which are presently deemed the major contributors of the disease risk. This observation also highlights the paucity of information on the role of rare variants, as well as structural variation, gene-by-gene-interaction, and gene-by-environment interaction in the biology of the disease, all of which must be explored further as they likely contribute to the disease ...
Multiple studies have shown that the likelihood of developing asthma is inherited. However, those genetic studies have shown that asthma does not follow classical patterns of Mendelian inheritance; instead, asthma is inherited as a complex trait and results from the interaction of multiple genes. Problems with accurate phenotyping have hampered identification of the genes responsible for the development of asthma. Recent attempts to decipher the genetic basis of this complex trait have relied on specific intermediate phenotypes such as BHR, serum immunoglobulin E (IgE) levels, and atopy. These traits are thought to identify subsets of patients with distinct types of asthma or a predisposition to develop asthma and have been used to facilitate the identification of the many genes involved in this complex disease. Although a large number of studies have identified possible genetic loci and chromosomal mutations that may be involved in the development of asthma or these related phenotypes, ...
I develop an ecophysiological genomic prediction model for grain-filling of rice. First, a crop model of panicle structure and grain weight is bulit based on the field test with various cropping seasons and cutting off flag leaves. Second, a genomic prediction model is built to predict the parameters of the crop model based on the genome-wide marker genotype. The combination of crop modeling and modeling based on quantitative genetics enables us to predict the phenotype of selection candidates under various environmantal conditions. On the basis of the genomic prediction model, crossbreeding simulation reveals the suitable parents to obtain offsprings that performe well under a certain environment. The present study aims to realize the effective and efficient strategy of plant breeding.. ...
Gene transers occur predominantly in one direction. Think back again to the first chimeric eukaryote. If the host cell were to die, it would release its symbionts, the proto-mitochondria, back into the environment, where they may or may not perish-- but regardless of their fate, the environment in chimeric co-existence would certainly have perished. On the other hand, if a single mitochondrion were to die, but a second viable mitochondrion survived in the host cell, then the chimera as a whole would still be viable. To get back to square one, the surviving mitochondrion would just have to divide. Each time a mitochondrion died, the genes released into the host cell could potentially be integrated into its chromosome by normal genetic recombination. This means there is a GENE RATCHET, favouring the transfer of genes from the mitochondria to the host cell, but not the other way around. (p. 133 ...
Gene-environment (GxE) interactions are traditionally understood as promoting the acquisition of mutations that drive multi-stage carcinogenesis, and in the case of inherited tumor suppressor gene defects, additional mutations required for cancer development. GxE interactions are traditionally understood to describe mechanisms whereby genetic risk factors modify the effects of environmental exposures to increase (or decrease) cancer risk, and are thought to be a major determinant of individual risk for this disease. Typically, GxE refers to an increased (or decreased) sensitivity to an environmental carcinogen owing to a specific germline alteration carried by exposed individuals, often as a single nucleotide polymorphism (SNP). This is best illustrated in colon cancer where hereditary defects in DNA mismatch repair genes such as MSH2 decrease repair efficiency, enhancing the efficacy of genotoxic carcinogens, inducing microsatellite instability and predisposing to adenomatous polyposis coli ...
ADH4 intronic variations are associated with alcohol dependence: results from an Italian case-control association study The aim of this study was to investigate the involvement of ADH4 gene polymorphisms in the susceptibility to alcoholism.. Alcoholism is a complex, heterogeneous disorder, referring to both alcohol abuse and dependence, with multifactorial genesis, influenced by the combined incidence of gene x gene and gene x environment interactions. The knowledge of which genes and pathways affect the susceptibility to alcoholism may thus be critical in devising improved treatments and in identifying individ- uals at a greater risk of developing AUDs.. ...
Research Interests: Epigenetics of Autism Spectrum Neurodevelopmental Disorders; Gene x Environment interactions in Perinatal Health Disparities
For more information on specific research interests click on the links:. Professor Peter Andrew Molecular and cellular studies of host and bacterial responses in infection and disease and pathogen/environmental interactions especially involving Streptococcus pneumoniae and Listeria monocytogenes.. Professor Mike Barer Interface between bacterial physiology and human infections, principally those involving the gastrointrestinal tract and tuberculosis.. Professor Wilhelm Schwaeble Molecular mechanisms involved in the induction and maintenance of inflammation and neurodegeneration in the central nervous system. Characterisation of a novel pathway of the innate anti-microbial immune response, the lectin pathway of complement activation. Development of therapeutic approaches to treat inflammatory disease and limit tissue injury. Analysis of human gene polymorphisms leading to predispositions for infectious disease.. Professor Martha Clokie Ecology and molecular biology of bacteriophages and their ...
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