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The effect of phenotype variation on detection of linkage in the COGA data
G Birznieks1, S Ghosh, R M Watanabe
1Genetics and Molecular Biology Branch, National Human Genome Research Institute, Bethesda, Maryland, USA.
Genetic Epidemiology
|December 22, 1999
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.