Multivariate association test using haplotype trend regression.
Genetic association analyses with haplotypes may be more powerful than analyses with single markers, under certain conditions. Furthermore, simultaneously considering multiple correlated traits may make use of additional information that would not be considered when analyzing individual traits. In this study, we propose a haplotype based test of association for multivariate quantitative traits in unrelated samples. Specifically, we extend a population based haplotype trend regression (HTR) approach to multivariate scenarios. We mainly focused on bivariate HTR, and the simulation results showed that the proposed method had correct pre-specified type-I error rates. The power of the proposed method was largely influenced by the size and source of correlation between variables, being greatest when correlation of a specific gene was opposite in sign to the residual correlation.
Pei
Yu-Fang
YF
The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Molecular Genetics, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, P. R. China.
Zhang
Lei
L
Liu
Jianfeng
J
Deng
Hong-Wen
HW
D003198:Computer Simulation; D005828:Genetics, Population; D055106:Genome-Wide Association Study / Q000379:methods*; D006239:Haplotypes; D006801:Humans; D008957:Models, Genetic; D015233:Models, Statistical; D015999:Multivariate Analysis; D019655:Quantitative Trait, Heritable; D012044:Regression Analysis