文章基本信息

标题：Bayesian Genome-wide Mapping Interacting QTL for Survival Time
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作者：Xiaojing Zhou ; Dan Zhao
期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2016
卷号：9
期号：8
页码：23-32
出版社：SERSC
摘要：In survival analysis, the accelerated failure time (AFT) model, as it is a linear function of the logarithms of survival times on covariates with easily interpretable parameters, is considered to be a useful alternative to the proportional hazards model (PHM). To dissectcomplex genetic architecture for survival traits, which have a skewed distribution and are often subject to censoring, we construct a multiple interacting QTL model based on the parametric AFT model with the baseline distribution of log-t distribution. Bayesian model selection is proposed to estimate the main and epistatic effects of QTLs in a computationally efficient manner, in which, the prior distribution of the scaled parameterin the AFT model is specified as the inverted chi-square distribution rather than a constant. Simulation experiments showed that our proposed method was superior to Bayesian method for normal phenotypes in terms of both the statistical powers of QTL detection and the precision of QTL parameter estimation. Three new pairs of epistatic QTLs were found in analyzing a real dataset for flowering time in rice.
关键词：survival ;trait; accelerated failure time; (AFT;) model; Bayesian model ;selection; interacting; loci