Literature DB >> 30488612

GWAS and network analysis of co-occurring nicotine and alcohol dependence identifies significantly associated alleles and network.

Bo Xiang1,2, Bao-Zhu Yang1,3, Hang Zhou1,3, Henry Kranzler4, Joel Gelernter1,3,5,6.   

Abstract

Alcohol dependence (AD) and nicotine dependence (ND) co-occur frequently (AD+ND). We integrated SNP-based, gene-based, and protein-protein interaction network analyses to identify shared risk genes or gene subnetworks for AD+ND in African Americans (AAs, N = 2,094) and European Americans (EAs, N = 1,207). The DSM-IV criterion counts for AD and ND were modeled as two dependent variables in a multivariate linear mixed model, and analyzed separately for the two populations. The most significant SNP was rs6579845 in EAs (p < 1.29 × 10-8 ) in GM2A, which encodes GM2 ganglioside activator, and is a cis-expression quantitative locus that affects GM2A expression in blood and brain tissues. However, this SNP was not replicated in our another small sample (N = 678). We identified a subnetwork of 24 genes that contributed to the AD+ND criterion counts. In the gene-set analysis for the subnetwork in an independent sample, the Study of Addiction: Genetics and Environment project (predominately EAs), these 24 genes as a set differed in AD+ND versus control subjects in EAs (p = .041). Functional enrichment analysis for this subnetwork revealed that the gene enrichment involved primarily nerve growth factor pathways, and cocaine and amphetamine addiction. In conclusion, we identified a genome-wide significant variant at GM2A and a gene subnetwork underlying the genetic trait of shared AD+ND. These results increase our understanding of the shared (pleiotropic) genetic risk that underlies AD+ND.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  alcohol dependence co-occurring nicotine dependence; genome-wide association studies; network analysis; pleiotropy

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Year:  2018        PMID: 30488612      PMCID: PMC6918694          DOI: 10.1002/ajmg.b.32692

Source DB:  PubMed          Journal:  Am J Med Genet B Neuropsychiatr Genet        ISSN: 1552-4841            Impact factor:   3.568


  51 in total

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Authors:  Joel Gelernter; Henry R Kranzler; Richard Sherva; Laura Almasy; Aryeh I Herman; Ryan Koesterer; Hongyu Zhao; Lindsay A Farrer
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