Testing Gene-Gene Interactions in Genome Wide Association Studies
نویسندگان
چکیده
منابع مشابه
Rapid Testing of Gene-Gene Interactions in Genome-Wide Association Studies of Binary and Quantitative Phenotypes
Genome-wide association (GWA) studies have been extremely successful in identifying novel loci contributing effects to a wide range of complex human traits. However, despite this success, the joint marginal effects of these loci account for only a small proportion of the heritability of these traits. Interactions between variants in different loci are not typically modelled in traditional GWA a...
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Background: It is increasingly clear that common human diseases have a complex genetic architecture characterized, in part, by epistasis or gene-gene interactions. We have previously identified statistically significant gene-gene interactions that replicated across two independent genome-wide association studies (GWAS) of sporadic Amyotrophic Lateral Sclerosis (ALS). The goal of the present stu...
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Genome-wide association studies (GWAS) have successfully discovered hundreds of associations between genetic variants and complex traits. Most GWAS have focused on the identification of single variants. It has been shown that most of the variants that were discovered by GWAS could only partially explain disease heritability. The explanation for this missing heritability is generally believed to...
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With the recent advent of high-throughput genotyping techniques, genetic data for genome-wide association studies (GWAS) have become increasingly available, which entails the development of efficient and effective statistical approaches. Although many such approaches have been developed and used to identify single-nucleotide polymorphisms (SNPs) that are associated with complex traits or diseas...
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MOTIVATION In complex disorders, independently evolving locus pairs might interact to confer disease susceptibility, with only a modest effect at each locus. With genome-wide association studies on large cohorts, testing all pairs for interaction confers a heavy computational burden, and a loss of power due to large Bonferroni-like corrections. Correspondingly, limiting the tests to pairs that ...
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ژورنال
عنوان ژورنال: Genetic Epidemiology
سال: 2014
ISSN: 0741-0395
DOI: 10.1002/gepi.21786