Meta-analysis of gene-environment interaction: joint estimation of SNP and SNP × environment regression coefficients
2010; Wiley; Volume: 35; Issue: 1 Linguagem: Inglês
10.1002/gepi.20546
ISSN1098-2272
AutoresAlisa K. Manning, Michael P. LaValley, Yongmei Liu, Kenneth Rice, Ping An, Yongmei Liu, Iva Miljkovic, Laura J. Rasmussen‐Torvik, Tamara B. Harris, Michael A. Province, Ingrid B. Borecki, José C. Florez, James B. Meigs, L. Adrienne Cupples, Josée Dupuis,
Tópico(s)Genetic Mapping and Diversity in Plants and Animals
ResumoGenetic discoveries are validated through the meta-analysis of genome-wide association scans in large international consortia. Because environmental variables may interact with genetic factors, investigation of differing genetic effects for distinct levels of an environmental exposure in these large consortia may yield additional susceptibility loci undetected by main effects analysis. We describe a method of joint meta-analysis (JMA) of SNP and SNP by Environment (SNP × E) regression coefficients for use in gene-environment interaction studies.
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