Cox proportional hazards survival regression in haplotype-based association analysis using the Stochastic-EM algorithm

被引：57

作者：

Tregouet, DA ^{[1
]}

Tiret, L ^{[1
]}

机构：

[1] INSERM, U525, F-75634 Paris, France

来源：

EUROPEAN JOURNAL OF HUMAN GENETICS | 2004年 / 12卷 / 11期

关键词：

haplotype; survival analysis; prospective data;

D O I：

10.1038/sj.ejhg.5201238

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

It is now widely recognized that haplotype information inferred from genotypes can be of great interest to better characterize the role of a candidate gene in the etiology of a complex trait in the context of association studies. Several works have recently advocated the simultaneous estimation of haplotype frequencies and haplotype effects in order to get a better efficiency in parameter estimation. Most of the available models can deal with a binary or a quantitative phenotype, but none has yet discussed the application of haplotype-based association analysis to a survival outcome. We describe how the recently proposed Stochastic-EM (SEM) algorithm can be applied to estimate haplotype effects in censored data analysis using a standard Cox proportional hazards formulation. This model has been implemented in the THESIAS software freely available at http://www.genecanvas.org

引用

页码：971 / 974

页数：4

共 26 条

[1]

Breslow N. E., 1972, J. R. Stat. Soc. Ser. B. Stat. Methodol., V34, P216, DOI [10.1111/j.2517-6161.1972.tb00900.x, DOI 10.1111/J.2517-6161.1972.TB00900.X]

[2]

Cox D. R., 1984, Analysis of survival data

[3]

COX DR, 1972, J R STAT SOC B, V34, P187

[4]

Diebolt J., 1996, Markov Chain Monte Carlo in practice, P259

[5]

Diebolt J., 1993, COMMUN STAT B, V9, P599, DOI DOI 10.1080/15326349308807283

[6] Complex promoter and coding region β2-adrenergic receptor haplotypes alter receptor expression and predict in vivo responsiveness [J].