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Whole-genome association studies on alcoholism comparing different phenotypes using single-nucleotide polymorphisms
Liang Chen1, Nianjun Liu, Shuang Wang
1Department of Epidemiology and Public Health, Yale University, New Haven, CT 06520, USA. liang.chen@yale.edu
BMC Genetics
|February 3, 2006
Summary
Identifying genetic markers for alcoholism is challenging. This study found that single-nucleotide polymorphisms (SNPs) associate with clinical diagnoses, while microsatellites link to electrophysiological phenotypes, using advanced statistical methods.
Area of Science:
- Genetics
- Psychiatry
- Statistical Genomics
Background:
- Alcoholism is a complex disease with elusive genetic underpinnings.
- Potential factors include small variant effects, gene interactions, and phenotype definition challenges.
- Understanding genetic susceptibility is crucial for targeted interventions.
Purpose of the Study:
- To investigate genetic variants associated with alcoholism using family-based and haplotype transmission association tests.
- To compare the efficacy of different genetic markers (SNPs vs. microsatellites) and phenotype definitions.
- To identify robust genetic associations for alcoholism susceptibility.
Main Methods:
- Utilized data from the Collaborative Study of the Genetics of Alcoholism (COGA) via Genetic Analysis Workshop 14.
- Employed family-based association tests (FBAT) and backward haplotype transmission association (BHTA).
- Applied Efron's local false discovery rate for controlling false discoveries and compared SNP and microsatellite markers with clinical and electrophysiological phenotypes.
Main Results:
- Significant associations between single-nucleotide polymorphisms (SNPs) and clinical diagnoses were observed using FBAT.
- Significant associations between microsatellites and electrophysiological phenotypes were found using FBAT.
- Backward haplotype transmission association (BHTA) revealed more consistent results between SNPs and microsatellites when using clinical diagnosis, detecting more significant markers than FBAT.
Conclusions:
- The choice of genetic marker and phenotype definition significantly impacts the detection of alcoholism-associated variants.
- SNPs may be more suitable for clinical diagnoses, whereas microsatellites might be better for electrophysiological phenotypes.
- BHTA appears to be a more powerful method for detecting genetic associations in alcoholism studies compared to FBAT.
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