Two-locus modeling of asthma in a Hutterite pedigree via Markov chain Monte Carlo.
Two-locus modeling of asthma in a Hutterite pedigree via Markov chain Monte Carlo.
复制标题
通过马尔可夫链蒙特卡罗对哈特派系中的哮喘进行双基因座建模。
DOI：
10.1002/gepi.2001.21.s1.s24
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发表时间：
2001
期刊：
影响因子：
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通讯作者：
Irwin,ME
中科院分区：
文献类型：
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作者：
Luo,Y;Lin,S;Irwin,ME
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.
