The effect of phenotype variation on detection of linkage in the COGA data.
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.
Birznieks
G
G
Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda, Maryland, USA.
Ghosh
S
S
Watanabe
R M
RM
Mitchell
B D
BD
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