Journal of Molecular Neuroscience

, Volume 51, Issue 2, pp 416–424

Genetic Variants in the Fat Mass- and Obesity-Associated (FTO) Gene are Associated with Alcohol Dependence

  • Liang Wang
  • Xuefeng Liu
  • Xingguang Luo
  • Min Zeng
  • Lingjun Zuo
  • Ke-Sheng Wang
Article

DOI: 10.1007/s12031-013-0044-2

Cite this article as:
Wang, L., Liu, X., Luo, X. et al. J Mol Neurosci (2013) 51: 416. doi:10.1007/s12031-013-0044-2

Abstract

Variants (such as rs9939609) in the fat mass- and obesity-associated (FTO) gene have been associated with obesity, type 2 diabetes, some cancers, and alcohol consumption. This study tested the associations of 167 single-nucleotide polymorphisms (SNPs) within FTO gene with alcohol dependence (AD) using two Caucasian samples: the Collaborative Study on the Genetics of Alcoholism (COGA) sample (660 AD cases and 400 controls) and the Study of Addiction: Genetics and Environment (SAGE) sample (623 cases and 1,016 controls). Logistic regression analysis of AD as a binary trait was performed using the PLINK software. For the SAGE sample, the top three SNPs showing associations with AD were rs8062891, rs1108086, and rs1420318 (p = 0.00088, 0.00086 and 0.00086, respectively). Two SNPs (rs12597786 and rs7204609) associated with AD in the SAGE sample (p = 0.017 and 0.034, respectively) were replicated in the COGA sample (p = 0.017 and 0.014, respectively). Through meta-analysis of two samples using PLINK, the top three SNPs associated with AD were rs8062891, rs12597786, and rs7204609 (p = 0.00064, 0.00076 and 0.0011, respectively). Haplotype analysis in the SAGE sample further supported the associations with AD in single-marker analysis. In addition, we found association of rs17817449 (which has a strong linkage disequilibrium with rs9939609) with AD in the SAGE sample (p = 0.00339). The findings provide evidence of joint intervention and prevention of AD and obesity.

Keywords

Alcohol dependence FTO Single nucleotide polymorphism Association Meta-analysis Haplotype 

Supplementary material

12031_2013_44_MOESM1_ESM.xls (60 kb)
Table S1(XLS 60 kb)

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Liang Wang
    • 1
  • Xuefeng Liu
    • 1
  • Xingguang Luo
    • 2
  • Min Zeng
    • 1
  • Lingjun Zuo
    • 2
  • Ke-Sheng Wang
    • 1
  1. 1.Department of Biostatistics and Epidemiology, College of Public HealthEast Tennessee State UniversityJohnson CityUSA
  2. 2.Department of PsychiatryYale University School of MedicineNew HavenUSA

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