A candidate gene association study of alcohol consumption in young women
- PMID: 21143251
- PMCID: PMC3239405
- DOI: 10.1111/j.1530-0277.2010.01372.x
A candidate gene association study of alcohol consumption in young women
Abstract
Background: Excessive alcohol consumption contributes to significant morbidity and mortality. Heritable influences contribute to 50% of the variation in alcohol consumption, suggesting the important role of genes. We used data on a previously defined alcohol consumption factor score in a sample of 827 young women to investigate association with 1,014 single-nucleotide polymorphisms in genes related to addiction.
Methods: Data were drawn from the Missouri Adolescent Female Twin Study (MOAFTS) with replication in the college drinking sample (CDS). Genotypic and phenotypic data were available on 827 MOAFTS and 100 CDS women of European-American ancestry. Data on 1,014 single-nucleotide polymorphisms (SNPs) across 130 genes related to addiction were utilized. Association was conducted in QTDT, which allows for identity-by-descent information to account accurately for twin status in the analysis. The total association variance components model was used, with specification of variance components for relatedness in MOAFTS.
Results: The top signals included clusters of SNPs in tryptophan hydroxylase 2 (TPH2) (e.g., rs1386496, p = 0.0003) and dopa decarboxylase (DDC) (e.g., rs3779084, p = 0.0008), genes that encode proteins responsible for serotonin synthesis. Additional polymorphisms in ADH1B, ADH1C, ADH7, and ADH1A1 were also associated at p < 0.05. The false discovery rate for the top signal (p = 0.0003) was 0.15, suggesting nominal significance only. Replication was limited and noted for 2 SNPs in ADH1C.
Conclusions: While no results survive the burden of multiple testing, nominal findings in TPH2 and DDC suggest the potential role of the serotonin synthesis pathway in alcohol consumption.
Copyright © 2010 by the Research Society on Alcoholism.
Figures
References
-
- Abecasis GR, Cardon LR, Cookson WO, Sham PC, Cherny SS. Association analysis in a variance components framework. Genet Epidemiol. 2001a;21(Suppl 1):S341–S346. S341–S346. - PubMed
-
- Abecasis GR, Cherny SS, Cookson WO, Cardon LR. GRR: graphical representation of relationship errors. Bioinformatics. 2001b;17:742–743. - PubMed
-
- Abecasis GR, Cherny SS, Cookson WO, Cardon LR. Merlin--rapid analysis of dense genetic maps using sparse gene flow trees. Nat Genet. 2002;30:97–101. - PubMed
Publication types
MeSH terms
Grants and funding
- AA09022/AA/NIAAA NIH HHS/United States
- MH083823/MH/NIMH NIH HHS/United States
- K05 AA017242/AA/NIAAA NIH HHS/United States
- R01 DA018267/DA/NIDA NIH HHS/United States
- R01 DA012854/DA/NIDA NIH HHS/United States
- AA007231/AA/NIAAA NIH HHS/United States
- DA23668/DA/NIDA NIH HHS/United States
- DA18660/DA/NIDA NIH HHS/United States
- K05 AA017688/AA/NIAAA NIH HHS/United States
- R01 AA013987/AA/NIAAA NIH HHS/United States
- P60 AA011998/AA/NIAAA NIH HHS/United States
- P50 AA011998/AA/NIAAA NIH HHS/United States
- R01 AA007728/AA/NIAAA NIH HHS/United States
- DA18823/DA/NIDA NIH HHS/United States
- R01 DA023668/DA/NIDA NIH HHS/United States
- AA12640/AA/NIAAA NIH HHS/United States
- R01 AA009022/AA/NIAAA NIH HHS/United States
- R37 AA007231/AA/NIAAA NIH HHS/United States
- K05 AA17688/AA/NIAAA NIH HHS/United States
- AA07728/AA/NIAAA NIH HHS/United States
- R01 MH083823/MH/NIMH NIH HHS/United States
- R01 DA018823/DA/NIDA NIH HHS/United States
- T32 AA013526/AA/NIAAA NIH HHS/United States
- AA013987/AA/NIAAA NIH HHS/United States
- R01 AA007231/AA/NIAAA NIH HHS/United States
- R01 AA012640/AA/NIAAA NIH HHS/United States
- R01 AA017915/AA/NIAAA NIH HHS/United States
- R37 AA007728/AA/NIAAA NIH HHS/United States
- DA18267/DA/NIDA NIH HHS/United States
- AA017242/AA/NIAAA NIH HHS/United States
- AA013526/AA/NIAAA NIH HHS/United States
- R01 DA018660/DA/NIDA NIH HHS/United States
- 2P60AA011998/AA/NIAAA NIH HHS/United States
LinkOut - more resources
Full Text Sources
Medical