Statistical optimization of parametric accelerated failure time model for mapping survival trait loci

文献类型： 外文期刊

第一作者： Yang, Runqing

作者： Yang, Runqing;Piao, Zhongze;Zhou, Xiaojing;Guo, Ying;Yang, Runqing;Prows, Daniel R.;Prows, Daniel R.;Luo, Zhixiang;Yan, Li

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关键词： statistical optimization

期刊名称：THEORETICAL AND APPLIED GENETICS （ 影响因子：5.699； 五年影响因子：5.565 ）

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收录情况： SCI

摘要： Most existing statistical methods for mapping quantitative trait loci (QTL) are not suitable for analyzing survival traits with a skewed distribution and censoring mechanism. As a result, researchers incorporate parametric and semi-parametric models of survival analysis into the framework of the interval mapping for QTL controlling survival traits. In survival analysis, accelerated failure time (AFT) model is considered as a de facto standard and fundamental model for data analysis. Based on AFT model, we propose a parametric approach for mapping survival traits using the EM algorithm to obtain the maximum likelihood estimates of the parameters. Also, with Bayesian information criterion (BIC) as a model selection criterion, an optimal mapping model is constructed by choosing specific error distributions with maximum likelihood and parsimonious parameters. Two real datasets were analyzed by our proposed method for illustration. The results show that among the five commonly used survival distributions, Weibull distribution is the optimal survival function for mapping of heading time in rice, while Log-logistic distribution is the optimal one for hyperoxic acute lung injury.

分类号： R394

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