title: Testing and estimation in marker-set association study using semiparametric quantile regression kernel machine.
abstract: We consider quantile regression for partially linear models where an outcome of interest is related to covariates and a marker set (e.g., gene or pathway). The covariate effects are modeled parametrically and the marker set effect of multiple loci is modeled using kernel machine. We propose an efficient algorithm to solve the corresponding optimization problem for estimating the effects of covariates and also introduce a powerful test for detecting the overall effect of the marker set. Our test is motivated by traditional score test, and borrows the idea of permutation test. Our estimation and testing procedures are evaluated numerically and applied to assess genetic association of change in fasting homocysteine level using the Vitamin Intervention for Stroke Prevention Trial data.
authors.affiliation: Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina 27599, U.S.A.
authors.forename: Dehan
authors.initials: D
authors.lastname: Kong
authors.affiliation: Department of Statistics, North Carolina State University, Raleigh, North Carolina 27695, U.S.A.
authors.forename: Arnab
authors.initials: A
authors.lastname: Maity
authors.affiliation: Department of Biostatistical Sciences, Wake Forest University, Winston-Salem, NC 27157, U.S.A.
authors.forename: Fang-Chi
authors.initials: FC
authors.lastname: Hsu
authors.affiliation: Department of Statistics and Bioinformatics Research Center, North Carolina State University, Raleigh, North Carolina 27695, U.S.A.|Department of Statistics, National Cheng-Kung University, Taiwan.
authors.forename: Jung-Ying
authors.initials: JY
authors.lastname: Tzeng
mesh_terms: D000465:Algorithms; D015415:Biomarkers; D001699:Biometry / Q000379:methods; D002986:Clinical Trials as Topic; D003198:Computer Simulation; D056726:Genetic Association Studies; D006710:Homocysteine / Q000097:blood; D006801:Humans; D016014:Linear Models; D008957:Models, Genetic; D015233:Models, Statistical; D020641:Polymorphism, Single Nucleotide; D012044:Regression Analysis
chemical_list: D015415:Biomarkers; D006710:Homocysteine
keywords: Bootstrap; Genetic marker-set association; Kernel machines; Permutation; Quantile regression; Semiparametric; Smoothing parameter; Testing