Meta-analysis and genome-wide interpretation of genetic susceptibility to drug addiction

Chuan Yun Li, Wei Zhen Zhou, Ping Wu Zhang, Catherine Johnson, Liping Wei, George R. Uhl

Research output: Contribution to journalArticle

Abstract

Background: Classical genetic studies provide strong evidence for heritable contributions to susceptibility to developing dependence on addictive substances. Candidate gene and genome-wide association studies (GWAS) have sought genes, chromosomal regions and allelic variants likely to contribute to susceptibility to drug addiction.Results: Here, we performed a meta-analysis of addiction candidate gene association studies and GWAS to investigate possible functional mechanisms associated with addiction susceptibility. From meta-data retrieved from 212 publications on candidate gene association studies and 5 GWAS reports, we linked a total of 843 haplotypes to addiction susceptibility. We mapped the SNPs in these haplotypes to functional and regulatory elements in the genome and estimated the magnitude of the contributions of different molecular mechanisms to their effects on addiction susceptibility. In addition to SNPs in coding regions, these data suggest that haplotypes in gene regulatory regions may also contribute to addiction susceptibility. When we compared the lists of genes identified by association studies and those identified by molecular biological studies of drug-regulated genes, we observed significantly higher participation in the same gene interaction networks than expected by chance, despite little overlap between the two gene lists.Conclusions: These results appear to offer new insights into the genetic factors underlying drug addiction.

Original languageEnglish (US)
Article number508
JournalBMC genomics
Volume12
DOIs
StatePublished - Oct 15 2011

ASJC Scopus subject areas

  • Biotechnology
  • Genetics

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