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Modeling Age×Major Gene Interaction by a Variance Component Approach
Author(s) -
Shete Sanjay S.,
Chen Jianfang,
Zhou Xiaojun,
Amos Christopher I.
Publication year - 2001
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.2001.21.s1.s849
Subject(s) - polygene , trait , major gene , quantitative trait locus , biology , variance (accounting) , genetics , component (thermodynamics) , population , gene , linkage (software) , function (biology) , statistics , econometrics , computational biology , mathematics , computer science , demography , programming language , thermodynamics , physics , accounting , sociology , business
The variance component method has become popular for linkage analysis due to its computational simplicity and generally high power. In this paper we model phenotypic variability of an individual as a mixed effects model in which both the major gene as well as the polygene effects interact with age. We applied the proposed model to the simulated data of Genetic Analysis Workshop 12. We considered the quantitative trait, Q 4 , in the outbred population. Two major genes influence this trait, each interacting with age independently. Consequently, trait variability is a function of age and also there is interaction of major gene effects with age. By using our model we were able to detect interaction between the major gene effects and age for this trait. © 2001 Wiley‐Liss, Inc.