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- W2481014730 abstract "Case-only (CO) design has been proposed as a valid approach with increased statistical efficiency over case-control and cohort studies in detecting gene-environment interactions (G×E). In the past, CO studies of G×E usually followed a candidate (or single-) gene approach, but their utility on genome-wide level remained unexplored. There are two important issues that might potentially affect the genome-wide CO studies of G×E. First, the role of linkage disequilibrium in CO study of G×E was not addressed in the past. Second, hidden stratification in the study population can severely compromise a CO study. The effect of population stratification on a CO study is partially explained, but a systematic analysis was lacking on consequences of this phenomenon. This work therefore systematically assessed through simulations the role of linkage disequilibrium and the impact of population stratification in CO studies of G×E. Simulations show that, single nucleotide polymorphisms (SNPs) in linkage disequilibrium with a truly interacting SNP can be used as proxies to indirectly infer the respective G×E signal. Further, simulations reveal that when study sample is divided by both genetic and exposure factors, a CO study provides an inflated type I error rate. Moreover, it is shown that genomic control-based methods can be successfully employed to correct for population stratification in CO studies." @default.
- W2481014730 created "2016-08-23" @default.
- W2481014730 creator A5040094815 @default.
- W2481014730 date "2016-05-26" @default.
- W2481014730 modified "2023-09-26" @default.
- W2481014730 title "Improved case-only approach to study genome-wide gene-environment interaction" @default.
- W2481014730 hasPublicationYear "2016" @default.
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