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Two‐Locus Modeling of Asthma in a Hutterite Pedigree via Markov Chain Monte Carlo
Author(s) -
Luo Yuqun,
Lin Shili,
Irwin Mark E.
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.s24
Subject(s) - locus (genetics) , epistasis , markov chain monte carlo , markov chain , monte carlo method , quantitative trait locus , bayesian probability , population , genetics , mathematics , statistics , biology , medicine , gene , environmental health
Bayesian Markov chain Monte Carlo (MCMC) segregation analysis for asthma was performed on the whole 1,544‐member Hutterite pedigree. Heterogeneous and epistatic two‐locus models and complex one‐locus models were investigated, with trait loci postulated to be linked to markers in regions previously found to be possibly linked to asthma or atopy. The epistatic two‐locus dominant‐dominant model provided the best estimates, among the models investigated, in terms of prediction of population prevalence and relative risk for sibs of the affecteds. © 2001 Wiley‐Liss, Inc.