Detecting rare and common haplotype-environment interaction under uncertainty of gene-environment independence assumption
نویسندگان
چکیده
منابع مشابه
Detecting Rare Haplotype-Environment Interaction under Uncertainty of Gene- Environment Independence Assumption
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Detecting rare haplotype-environment interaction with logistic Bayesian LASSO.
Two important contributors to missing heritability are believed to be rare variants and gene-environment interaction (GXE). Thus, detecting GXE where G is a rare haplotype variant (rHTV) is a pressing problem. Haplotype analysis is usually the natural second step to follow up on a genomic region that is implicated to be associated through single nucleotide variants (SNV) analysis. Further, rHTV...
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It is important to investigate whether genetic susceptibility variants exercise the same effects in populations that are differentially exposed to environmental risk factors. Here, we assess the power of four two-stage case-control design strategies for assessing multiplicative gene-environment (G-E) interactions or for assessing genetic or environmental effects in the presence of G-E interacti...
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Identification of gene-environment interaction (G × E) is important in understanding the etiology of complex diseases. However, partially due to the lack of power, there have been very few replicated G × E findings compared to the success in marginal association studies. The existing G × E testing methods mainly focus on improving the power for individual markers. In this paper, we took a diffe...
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OBJECTIVE Genetic association studies based on haplotypes are powerful in the discovery and characterization of the genetic basis of complex human diseases. However, statistical methods for detecting haplotype-haplotype and haplotype-environment interactions have not yet been fully developed owing to the difficulties encountered: large numbers of potential haplotypes and unknown haplotype pairs...
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ژورنال
عنوان ژورنال: Biometrics
سال: 2016
ISSN: 0006-341X
DOI: 10.1111/biom.12567