title: A multiple locus analysis of the collaborative study on the genetics of alcoholism data set.
abstract: Parametric and nonparametric statistical methods have been applied to the alcohol dependence data set collected in the Collaborative Study on the Genetics of Alcoholism (COGA). Our nonparametric linkage analyses (NPL) were based on the S(all) statistic of GENEHUNTER [Kruglyak et al., 1996] and the improved NPL statistic of GENEHUNTER-PLUS [Kong and Cox, 1997]. Based on likely regions for alcohol susceptibility genes identified from our nonparametric analyses, we reanalyzed the data using several two-locus models. We used the TMLINK program [Lathrop and Ott, 1990] in the LINKAGE package for these parametric analyses.
authors.affiliation: Department of Statistics, Ohio State University, Columbus 43210, USA.
authors.forename: S
authors.initials: S
authors.lastname: Lin
authors.forename: M E
authors.initials: ME
authors.lastname: Irwin
authors.forename: F A
authors.initials: FA
authors.lastname: Wright
mesh_terms: D000437:Alcoholism / Q000453:epidemiology / Q000235:genetics*; D005799:Genes, Dominant; D005808:Genes, Recessive; D008040:Genetic Linkage; D005819:Genetic Markers; D005820:Genetic Testing; D006801:Humans; D008126:Lod Score; D012984:Software; D018709:Statistics, Nonparametric
chemical_list: D005819:Genetic Markers