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An optimal parametric proportional hazards model for mapping heading time loci in rice

文献类型： 外文期刊

作者： Luo, Zhixiang 1 ; Piao, Zhongze 2 ; Zhou, Xiaojing 3 ; Yang, Tianfu 4 ; Yang, Runqing 4 ;

作者机构： 1.Anhui Acad Agr Sci, Rice Res Inst, Hefei 230036, Peoples R China

2.Shanghai Acad Agr Sci, Crop Breeding & Cultivat Res Inst, Shanghai 201106, Peoples R China

3.Heilongjiang Bayi Agr Univ, Dept Math, Daqing 163319, Peoples R China

4.Shanghai Jiao Tong Univ, Sch Agr & Biol, Shanghai 200240, Peoples R China

5.Chinese Acad Fishery Sci, Res Ctr Fisheries Recourse & Environm, Beijing 100141, Peoples R China

关键词： Heading time;Rice;Proportional hazard model;Interval mapping;Optimization

期刊名称：EUPHYTICA （ 影响因子：1.895； 五年影响因子：2.181 ）

ISSN： 0014-2336

年卷期： 2013 年 192 卷 1 期

页码：

收录情况： SCI

摘要： Usually, statistical methods for mapping quantitative trait loci (QTL) require that the phenotypes follow the normal distribution and therefore may not be appropriate to analyze survival traits of skewed distribution. As a result, parametric and semi-parametric models in survival analysis are incorporated into the framework of the interval mapping for survival trait loci. Through formulating the effects of the QTL genotype on the survival time with a Cox proportional hazards model, we construct a general parametric model for mapping survival trait loci, in which baseline hazard function is selectable for goodness of fit to the effects of QTL genotype on survival curve. Bayesian information criterion is used to choose the optimal baseline hazard function with maximum likelihood and parsimonious parameters. Heading time, defined by days from sowing to heading is a typical survival trait. In this study, we apply the mapping method to locate QTL for heading time in rice and conclude that among the six commonly used survival distributions, Gamma distribution is the optimal baseline hazard function and by which, four QTLs are identified.

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