... genetic model-free method that detects non-linear interactions associated with a quantitative trait. We identified seven novel ... Epistasis, or gene-gene interactions are a plausible source to explain portions of the missing heritability of BMI. Using ... many complex diseases are likely the result of interactions between genetic loci - epistasis [9, 11, 16]. The ubiquitous nature ... 2a). ASTL shares a strong sequence similarity and a common genetic ancestor with MEP1A. Both MEP1A and MEP1B are subunits of ...

These results provide support for applying BCM to identify potential genetic variants such as SNPs from high dimensional GWAS ... The large number of single nucleotide polymorphisms (SNPs) in GWASs however makes the identification of genetic interactions ... can help in understanding the genetic basis of complex diseases. ... Identifying genetic interactions in data obtained from genome- ... Genetic interactions. Genetic interactions, also known as epistasis, can be defined biologically as well as statistically. ...

Previous genetic studies of Alzheimers disease have revealed only a small portion of the overall variability due to DNA ... We present here a bioinformatics approach to the genetic analysis of grey matter density as an endophenotype for late onset ... These findings represent novel hypotheses about the genetic basis of this complex disease and provide open-access methods that ... We have introduced here a novel bioinformatics analysis pipeline that embraces the complexity of the genetic architecture of ...

Twin studies indicate that a substantial fraction of ovarian cancers should be predictable from genetic testing. Genetic risk ... Performance of model-based multifactor dimensionality reduction methods for epistasis detection by controlling population ... Single Nucleotide Polymorphisms(SNPs) represent the genetic variations, the most common in the human genome, it has been s... ... Genetic risk score for ovarian cancer based on chromosomal-scale length variation ...