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A genome-wide linkage and association study using COGA data.

Xiaofeng Zhu1, Richard Cooper, Donghui Kan

  • 1Department of Preventive Medicine and Epidemiology, Loyola University Medical Center, Maywood, IL 60153, USA. xzhu1@lumc.edu

BMC Genetics
|February 3, 2006
PubMed
Summary
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Genome-wide association studies identified a significant SNP marker on chromosome 3 linked to alcoholism. This finding suggests association analysis may be more effective than linkage analysis for complex genetic traits.

Area of Science:

  • Genetics
  • Statistical Genetics
  • Human Genetics

Background:

  • Genome-wide association studies (GWAS) are emerging as a valuable tool alongside traditional linkage analysis.
  • The study utilized data from 119 families collected by the Collaborative Study on the Genetics of Alcoholism (COGA).

Purpose of the Study:

  • To investigate the genetic underpinnings of alcoholism using both genome-wide linkage and association analyses.
  • To compare the efficacy of linkage and association methods in identifying genetic variants for complex traits like alcoholism.

Main Methods:

  • Performed genome-wide linkage analysis using microsatellite markers.
  • Conducted association analysis on a linked region using single-nucleotide polymorphisms (SNPs).
  • Employed family-based genome-wide association tests with SNPs.

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Main Results:

  • Nonparametric linkage analysis indicated weak evidence on chromosome 7.
  • Association analysis identified a significant association between SNP tsc0515272 on chromosome 3 and alcoholism.

Conclusions:

  • Linkage analysis may necessitate large sample sizes and high-quality data for sufficient statistical power.
  • Association analysis shows promise for identifying genetic variants contributing to complex traits such as alcoholism.