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Effects of genotype×sex interaction on linkage analysis of visual event‐related evoked potentials
Author(s) -
Towne Bradford,
Almasy Laura,
Siervogel Roger M.,
Blangero John
Publication year - 1999
Publication title -
genetic epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.301
H-Index - 98
eISSN - 1098-2272
pISSN - 0741-0395
DOI - 10.1002/gepi.1370170760
Subject(s) - linkage (software) , genetic linkage , trait , quantitative trait locus , genotype , biology , explained variation , analysis of variance , locus (genetics) , genetics , gene , statistics , medicine , computer science , mathematics , programming language
Autosomal genes contributing to variation in many complex traits are influenced by male or female physiological “environments.” Accounting for such genotype‐by‐sex (G×S) interactions has been shown to be important in quantitative genetic, segregation, and linkage analyses of a number of sexually dimorphic traits. In analyses of data simulated for GAW10, we showed that incorporating sex‐specific variance components into a variance components‐based linkage method increased the power to detect linkage in a trait that exhibited G×S interaction. The goals of this study of data from the Collaborative Study on the Genetics of Alcoholism (COGA) were to screen the event‐related brain potential (ERP) data from COGA participants for G×S interaction, and then to conduct variance components linkage analysis of ERP phenotypes showing evidence of G×S interaction using models incorporating sex‐specific variance components. Significant G×S interaction was found in four ERP phenotypes: N100 measured at occipital leads 1 and 2, and P300 measured at occipital leads 1 and 2. In linkage analyses of these traits, the most significant lod score found was that between N100 occipital lead 1 amplitude and marker D7S490. The peak lod score at the D7S490 locus was 2.45 without sex‐specific variance components, and 3.25 with sex‐specific marker and residual polygenic components.