title: Exploring linkage for alcoholism using affection status and quantitative event related potential phenotypes.
abstract: Using genome-scan data from the Collaborative Study on the Genetics of Alcoholism (COGA), we compared results of linkage analyses using a qualitative alcoholism phenotype to results of linkage analyses using event related potential (ERP) quantitative phenotypes, and compared our results to the results of Reich et al. [1998] and Begleiter et al. [1998]. We describe a general and simple strategy for identifying regions of the genome which may harbor genes involved in alcohol dependence which takes into consideration the results of both the affection status and ERP linkage analyses.
authors.affiliation: Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, USA.
authors.forename: K L
authors.initials: KL
authors.lastname: Lunetta
authors.forename: M
authors.initials: M
authors.lastname: Wilcox
authors.forename: J
authors.initials: J
authors.lastname: Smoller
authors.forename: D
authors.initials: D
authors.lastname: Neuberg
mesh_terms: D000437:Alcoholism / Q000453:epidemiology / Q000235:genetics* / Q000503:physiopathology; D002874:Chromosome Mapping; D018913:Event-Related Potentials, P300 / Q000235:genetics*; D008040:Genetic Linkage; D005819:Genetic Markers; D005820:Genetic Testing; D006801:Humans; D008126:Lod Score; D010641:Phenotype; D019655:Quantitative Trait, Heritable; D012984:Software; D018709:Statistics, Nonparametric
chemical_list: D005819:Genetic Markers