Identification of Polymorphisms Explaining a Linkage Signal: Application to the GAW14 Simulated Data


Show simple item record Chen, Ming-Huei en_US Van Eerdewegh, Paul en_US Dupuis, Josée en_US 2012-01-11T15:51:12Z 2012-01-11T15:51:12Z 2005 en_US 2005-12-30 en_US
dc.identifier.citation Chen, Ming-Huei, Paul Van Eerdewegh, Josée Dupuis. "Identification of polymorphisms explaining a linkage signal: application to the GAW14 simulated data" BMC Genetics 6(Suppl 1):S88. (2005) en_US
dc.identifier.issn 1471-2156 en_US
dc.description.abstract We applied three approaches for the identification of polymorphisms explaining the linkage evidence to the Genetic Analysis Workshop 14 simulated data: 1) the genotype-IBD sharing test (GIST); 2) an approach suggested by Horikawa and colleagues; and 3) the homozygote sharing test (HST). These tests were compared with a family-based association test. Two linked regions with highest nonparametric linkage scores were selected to apply these methods. In the first region, Horikawa's method identified the most SNPs within the region containing the disease susceptibility locus, while HST performed best in the second region. However, Horikawa's method also had the most type I errors. These methods show potential as additional tools to complement family-based association tests for the identification of disease susceptibility variants. en_US
dc.language.iso en en_US
dc.publisher BioMed Central en_US
dc.rights Copyright 2005 Chen et al; licensee BioMed Central Ltd This is an open access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. en_US
dc.rights.uri en_US
dc.title Identification of Polymorphisms Explaining a Linkage Signal: Application to the GAW14 Simulated Data en_US
dc.type article en_US
dc.identifier.doi 10.1186/1471-2156-6-S1-S88 en_US
dc.identifier.pubmedid 16451703 en_US
dc.identifier.pmcid 1866692 en_US

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