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Incorporating Gene-Environment Interaction in Testing for Association with Rare Genetic Variants
Author(s) -
Han Chen,
James B. Meigs,
Josée Dupuis
Publication year - 2014
Publication title -
human heredity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.423
H-Index - 62
eISSN - 1423-0062
pISSN - 0001-5652
DOI - 10.1159/000363347
Subject(s) - gene–environment interaction , genetics , gene interaction , framingham heart study , allele , computational biology , minor allele frequency , genetic association , gene , biology , association test , computer science , allele frequency , single nucleotide polymorphism , genotype , medicine , disease , framingham risk score , pathology
The incorporation of gene-environment interactions could improve the ability to detect genetic associations with complex traits. For common genetic variants, single-marker interaction tests and joint tests of genetic main effects and gene-environment interaction have been well-established and used to identify novel association loci for complex diseases and continuous traits. For rare genetic variants, however, single-marker tests are severely underpowered due to the low minor allele frequency, and only a few gene-environment interaction tests have been developed. We aimed at developing powerful and computationally efficient tests for gene-environment interaction with rare variants.

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