title: Multi-locus penetrance variance analysis method for association study in complex diseases.
abstract: 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.
authors.affiliation: Ministry of Education (MOE) Key Laboratory of Bioinformatics, Tsinghua University, Beijing, China.
authors.forename: Xiangqing
authors.initials: X
authors.lastname: Sun
authors.forename: Zhongqi
authors.initials: Z
authors.lastname: Zhang
authors.forename: Yulong
authors.initials: Y
authors.lastname: Zhang
authors.forename: Xuegong
authors.initials: X
authors.lastname: Zhang
authors.forename: Yanda
authors.initials: Y
authors.lastname: Li
mesh_terms: 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