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Whole-genome linkage analysis in mapping alcoholism genes using single-nucleotide polymorphisms and microsatellites
Authors:Wang Shuang  Huang Song  Liu Nianjun  Chen Liang  Oh Cheongeun  Zhao Hongyu
Affiliation:Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY 10032, USA. shuang.wang@columbia.edu
Abstract:There is currently a great interest in using single-nucleotide polymorphisms (SNPs) in genetic linkage and association studies because of the abundance of SNPs as well as the availability of high-throughput genotyping technologies. In this study, we compared the performance of whole-genome scans using SNPs with microsatellites on 143 pedigrees from the Collaborative Studies on Genetics of Alcoholism provided by Genetic Analysis Workshop 14. A total of 315 microsatellites and 10,081 SNPs from Affymetrix on 22 autosomal chromosomes were used in our analyses. We found that the results from the two scans had good overall concordance. One region on chromosome 2 and two regions on chromosome 7 showed significant linkage signals (i.e., NPL >or= 2) for alcoholism from both the SNP and microsatellite scans. The different results observed between the two scans may be explained by the difference observed in information content between the SNPs and the microsatellites.
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