Whole-genome association studies on alcoholism comparing different phenotypes using single-nucleotide polymorphisms and microsatellites
2005

Genetic Variants Linked to Alcoholism

Sample size: 1614 publication Evidence: moderate

Author Information

Author(s): Chen Liang, Liu Nianjun, Wang Shuang, Oh Cheongeun, Carriero Nicholas J, Zhao Hongyu

Primary Institution: Yale University

Hypothesis

Can different genetic markers and phenotypes help identify genetic variants associated with alcoholism?

Conclusion

The study found significant SNPs associated with clinical diagnoses of alcoholism and a significant microsatellite associated with electrophysiological phenotypes.

Supporting Evidence

  • 6 significant SNPs were found associated with COGA diagnosis.
  • 4 significant SNPs were found associated with DSM-IV diagnosis.
  • 1 significant microsatellite was found associated with ERP phenotypes.

Takeaway

Researchers looked at genes to see if they are linked to alcoholism, and they found some important markers that could help us understand the disease better.

Methodology

Family-based association tests (FBAT) and backward haplotype transmission association (BHTA) were used to analyze SNPs and microsatellites in the COGA dataset.

Limitations

The study may not capture all genetic variants due to the complexity of alcoholism and the phenotypes used.

Participant Demographics

1,614 family members, including alcoholic individuals and their relatives.

Statistical Information

Statistical Significance

fdr < 0.1

Digital Object Identifier (DOI)

10.1186/1471-2156-6-S1-S130

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