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Human Genetics

, Volume 132, Issue 3, pp 347–358 | Cite as

A large-scale meta-analysis of the association between the ANKK1/DRD2 Taq1A polymorphism and alcohol dependence

  • Fan Wang
  • Arthur Simen
  • Albert Arias
  • Qun-Wei Lu
  • Huiping ZhangEmail author
Original Investigation

Abstract

Alcohol dependence (AD) is a common neuropsychiatric disorder with high heritability. A number of studies have analyzed the association between the Taq1A polymorphism (located in the gene cluster ANKK1/DRD2) and AD. In the present study, we conducted a large-scale meta-analysis to confirm the association between the Taq1A polymorphism and the risk for AD in over 18,000 subjects included in 61 case–control studies that were published up to August 2012. Our meta-analysis demonstrated both allelic and genotypic association between the Taq1A polymorphism and AD susceptibility [allelic: P(Z) = 1.1 × 10−5, OR = 1.19; genotypic: P(Z) = 3.2 × 10−5, OR = 1.24]. The association remained significant after adjustment for publication bias using the trim and fill method. Sensitivity analysis showed that the effect size of the Taq1A polymorphism on AD risk was moderate and not influenced by any individual study. The pooled odds ratio from published studies decreased with the year of publication, but stabilized after the year 2001. Subgroup analysis indicated that publication bias could be influenced by racial ancestry. In summary, this large-scale meta-analysis confirmed the association between the Taq1A polymorphism and AD. Future studies are required to investigate the functional significance of the ANKK1/DRD2 Taq1A polymorphism in AD.

Keywords

Publication Bias Alcohol Dependence Fill Method DRD2 Gene Asian Subgroup 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

This study was supported by the National Institute of Health (NIH) Grants K99/R00 DA022891 and the grant from the Alcoholic Beverage Medical Research Foundation (ABMRF).

Conflict of interest

The authors have no conflict of interest to report.

Supplementary material

439_2012_1251_MOESM1_ESM.doc (938 kb)
Supplementary material 1 (DOC 938 kb)

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Fan Wang
    • 1
    • 2
  • Arthur Simen
    • 1
    • 3
  • Albert Arias
    • 1
    • 2
  • Qun-Wei Lu
    • 4
  • Huiping Zhang
    • 1
    • 2
    Email author
  1. 1.Department of PsychiatryYale University School of MedicineWest HavenUSA
  2. 2.VA Connecticut Healthcare SystemWest HavenUSA
  3. 3.Merck Research LaboratoriesNorth WalesUSA
  4. 4.College of Life Science and Technology, Center for Human Genome ResearchHuazhong University of Science and TechnologyWuhanChina

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