A genome-wide scan for a simulated data set using two newly developed methods.

L Hsu; C Aragaki; F Quiaoit; X Wang; X Xu; L P Zhao

doi:10.1002/gepi.13701707101

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A genome-wide scan for a simulated data set using two newly developed methods.

L Hsu·C Aragaki·F Quiaoit·X Wang·X Xu·L P Zhao

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Abstract

A genome-wide scan of a simulated data set for fictitious disease genes was conducted using both semiparametric and nonparametric methods. The semiparametric model-based method, which tests for linkage/linkage disequilibrium separately and together, correctly identified all three underlying disease loci along with two false positives through the linkage analysis. However, the nonparametric model-free method which tests combined linkage/linkage disequilibrium, failed to yield any results due to the lack of linkage disequilibrium information in the data.

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Chromosome Mapping Genetic Linkage Genetic Predisposition to Disease Genetic Testing Genome Humans Likelihood Functions Linkage Disequilibrium Models, Genetic Models, Statistical Statistics, Nonparametric Journal Article

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L Hsu, C Aragaki, F Quiaoit, X Wang, X Xu, L P Zhao. 1999. A genome-wide scan for a simulated data set using two newly developed methods.. https://doi.org/10.1002/gepi.13701707101

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