title: Two-stage association tests for genome-wide association studies based on family data with arbitrary family structure.
abstract: Recently, Steen et al proposed a two-stage approach for genome-wide family-based association studies. In the first stage, a screening test is used to select markers, and in the second stage, a family-based association test is performed on a much smaller set of the selected markers. The two-stage method can be much more powerful than the traditional family-based association tests. In this article, we extend the approach so that it can incorporate parental information and can be applied to an arbitrary pedigree structure. We use simulation studies to evaluate the type I error rates and the power of the proposed methods. Our results show that the two-stage approach that incorporates founders' phenotypes has the correct type I error rates, and is much more powerful than the two-stage approach that uses children's phenotypes only. Also, by carefully choosing the number of markers retained in the first stage, the power of a two-stage approach can be much more than that of the corresponding one-stage approach.
authors.affiliation: Department of Mathematical Sciences, Michigan Technological University, Houghton, MI 49931, USA.
authors.forename: Tao
authors.initials: T
authors.lastname: Feng
authors.forename: Shuanglin
authors.initials: S
authors.lastname: Zhang
authors.forename: Qiuying
authors.initials: Q
authors.lastname: Sha
mesh_terms: D002648:Child; D003198:Computer Simulation; D020022:Genetic Predisposition to Disease; D005820:Genetic Testing; D015894:Genome, Human; D006801:Humans; D015810:Linkage Disequilibrium; D008957:Models, Genetic; D009679:Nuclear Family; D010290:Parents; D010375:Pedigree; D010641:Phenotype