Multi-locus penetrance variance analysis method for association study in complex diseases.
Common heritable diseases often result from the action of several different genes, each of which contributes to the total observed variability in the disease trait. Traditional single-locus association approaches rely heavily on the marginal effects of single-locus and tend to ignore the multigenic nature of complex diseases. The increasing request for localizing genes underlying traits in multi-gene diseases has led to the development of some statistical methods. In this study, we develop a multi-locus analysis method - multi-locus penetrance variance analysis (MPVA), and conduct systematical simulation studies to evaluate its performance. Our results show that compared with other multi-locus methods, MPVA has some advantage in detecting complicated interactions under different epistatic models, and its performance is stable and robust.
Sun
Xiangqing
X
Ministry of Education (MOE) Key Laboratory of Bioinformatics, Tsinghua University, Beijing, China.
Zhang
Zhongqi
Z
Zhang
Yulong
Y
Zhang
Xuegong
X
Li
Yanda
Y
D000704:Analysis of Variance; D003198:Computer Simulation; D004843:Epistasis, Genetic; D030342:Genetic Diseases, Inborn / Q000235:genetics*; D020022:Genetic Predisposition to Disease; D006801:Humans; D008957:Models, Genetic; D019683:Penetrance