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Whole-genome linkage analysis in mapping alcoholism genes using single-nucleotide polymorphisms and microsatellites
被引:0
|作者:
Shuang Wang
Song Huang
Nianjun Liu
Liang Chen
Cheongeun Oh
Hongyu Zhao
机构:
[1] Columbia University,Department of Biostatistics, Mailman School of Public Health
[2] Yale University,Program of Computational Biology and Bioinformatics
[3] Yale University,Department of Epidemiology and Public Health
[4] University of Alabama at Birmingham,Department of Biostatistics
[5] Yale University,Department of Molecular, Cellular and Developmental Biology
[6] University of Medicine and Dentisry of New Jersey,Division of Biostatistics, Department of Preventive Medicine
[7] Yale University,Department of Genetics
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关键词:
Information Content;
Autosomal Chromosome;
Nonparametric Linkage Analysis;
Average Information Content;
Strong Linkage Signal;
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摘要:
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 Workhsop 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 ≥ 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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