title: The effect of phenotype variation on detection of linkage in the COGA data.
abstract: Error in phenotypic measurement can significantly compromise ability to detect linkage. We assessed the impact of introducing phenotypic measurement error on our ability to detect a quantitative trait locus in the Collaborative Study on the Genetics of Alcoholism (COGA) data. The impact of introducing three different types of errors was evaluated: 1) errors generated by sampling from a normal distribution; 2) errors generated by permuting phenotype values between subjects; and 3) errors generated by sampling from a uniform error distribution.
authors.affiliation: Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda, Maryland, USA.
authors.forename: G
authors.initials: G
authors.lastname: Birznieks
authors.forename: S
authors.initials: S
authors.lastname: Ghosh
authors.forename: R M
authors.initials: RM
authors.lastname: Watanabe
authors.forename: B D
authors.initials: BD
authors.lastname: Mitchell
mesh_terms: D000437:Alcoholism / Q000235:genetics*; D008040:Genetic Linkage; D005820:Genetic Testing; D014644:Genetic Variation; D016678:Genome; D006801:Humans; D008126:Lod Score; D010641:Phenotype; D019655:Quantitative Trait, Heritable; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity