title: Selection of single-nucleotide polymorphisms in disease association data.
abstract: We studied several methods for selecting single-nucleotide polymorphisms (SNPs) in a disease association study. Two major categories for analytical strategy are the univariate and the set selection approaches. The univariate approach evaluates each SNP marker one at a time, while the set selection approach tests disease association of a set of SNP markers simultaneously. We examined various test statistics that can be utilized in testing disease association and also reviewed several multiple testing procedures that can properly control the family-wise error rates when the univariate approach is applied to multiple markers. The set association methods were then briefly reviewed. Finally, we applied these methods to the data from Collaborative Study on the Genetics of Alcoholism (COGA).
authors.affiliation: Office of Biostatistics Research, National Heart, Lung and Blood Institute, Bethesda, 6701 Rockledge Dr, MSC 7938, Maryland 20892, USA. jooj@nhlbi.nih.gov
authors.forename: Jungnam
authors.initials: J
authors.lastname: Joo
authors.forename: Xin
authors.initials: X
authors.lastname: Tian
authors.forename: Gang
authors.initials: G
authors.lastname: Zheng
authors.forename: Jing-Ping
authors.initials: JP
authors.lastname: Lin
authors.forename: Nancy L
authors.initials: NL
authors.lastname: Geller
mesh_terms: D030541:Databases, Genetic; D020022:Genetic Predisposition to Disease; D006801:Humans; D020641:Polymorphism, Single Nucleotide / Q000235:genetics*