Genome-Wide Gene-Environment Interaction Analysis Using Set-Based Association Tests
نویسندگان
چکیده
منابع مشابه
Gene and Gene-Set Analysis for Genome-Wide Association Studies
Genome-wide association studies (GWAS) have identified hundreds of loci at very stringent levels of statistical significance across many different human traits. However, it is now clear that very large samples (n~104-105) are needed to find the majority of genetic variants underlying risk for most human diseases. Therefore, the field has engaged itself in a race to increase study sample sizes w...
متن کاملGene-environment interaction in genome-wide association studies.
It is a commonly held belief that most complex diseases (e.g., diabetes, asthma, cancer) are affected in part by interactions between genes and environmental factors. However, investigators conducting genome-wide association studies typically test for only the marginal effects of each genetic marker on disease. In this paper, the authors propose an efficient and easily implemented 2-step analys...
متن کاملRobust Gene-Gene Interaction Analysis in Genome Wide Association Studies
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...
متن کاملGenome-Wide Analysis of Gene-Gene and Gene-Environment Interactions Using Closed-Form Wald Tests.
Despite the successful discovery of hundreds of variants for complex human traits using genome-wide association studies, the degree to which genes and environmental risk factors jointly affect disease risk is largely unknown. One obstacle toward this goal is that the computational effort required for testing gene-gene and gene-environment interactions is enormous. As a result, numerous computat...
متن کاملGenome-wide meta-analysis of joint tests for genetic and gene-environment interaction effects.
BACKGROUND There is growing interest in the study of gene-environment interactions in the context of genome-wide association studies (GWASs). These studies will likely require meta-analytic approaches to have sufficient power. METHODS We describe an approach for meta-analysis of a joint test for genetic main effects and gene-environment interaction effects. Using simulation studies based on a...
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ژورنال
عنوان ژورنال: Frontiers in Genetics
سال: 2019
ISSN: 1664-8021
DOI: 10.3389/fgene.2018.00715