rs11137048 - MCPH1-AS1

Magnitude 2.0 · 1 study on file

Reported associations

• Using Bayes Model Averaging to Leverage Both Gene Main Effects and GxE Interactions to Identify Genomic Regions in Genome-Wide Association Studies - Genetic epidemiology (2019) · Moss LC, Gauderman WJ, Lewinger JP, Conti DV · PubMed 30456811

  ABSTRACT: Genome-wide association studies (GWAS) typically search for marginal associations between a single nucleotide polymorphism (SNP) and a disease trait while gene-environment (GxE) interactions remain generally unexplored. More powerful methods beyond the simple case-control approach leverage either marginal effects or case-control ascertainment to increase power. However, these potential gains depend on assumptions whose aptness is often unclear a priori. Here, we review GxE methods and use simulations to highlight performance as a function of main and interaction effects and the association of the two factors in the source population. Substantial variation in performance between methods leads to uncertainty as to which approach is most appropriate for any given analysis. We presen

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