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Does Accounting for Gene-Environment Interactions Help Uncover Association between Rare Variants and Complex Diseases?
Author(s) -
Rémi Kazma,
Niall J. Cardin,
John S. Witte
Publication year - 2012
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 - 10.1159/000346825
Subject(s) - allele , association test , genetics , logistic regression , genetic association , association (psychology) , kernel (algebra) , type i and type ii errors , gene , biology , computational biology , genotype , statistics , mathematics , psychology , single nucleotide polymorphism , combinatorics , psychotherapist
To determine whether accounting for gene-environment (G×E) interactions improves the power to detect associations between rare variants and a disease, we have extended three statistical methods and compared their power under various simulated disease models.

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