|dc.contributor.author||Van Eerdewegh, Paul||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.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.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 (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.||en_US|
|dc.title||Identification of Polymorphisms Explaining a Linkage Signal: Application to the GAW14 Simulated Data||en_US|
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Except where otherwise noted, this item's license is described as 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 (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.