Literature DB >> 24166409

Genome-wide association study of alcohol dependence:significant findings in African- and European-Americans including novel risk loci.

J Gelernter1, H R Kranzler2, R Sherva3, L Almasy4, R Koesterer3, A H Smith5, R Anton6, U W Preuss7, M Ridinger8, D Rujescu7, N Wodarz8, P Zill9, H Zhao10, L A Farrer11.   

Abstract

We report a GWAS of alcohol dependence (AD) in European-American (EA) and African-American (AA) populations, with replication in independent samples of EAs, AAs and Germans. Our sample for discovery and replication was 16 087 subjects, the largest sample for AD GWAS to date. Numerous genome-wide significant (GWS) associations were identified, many novel. Most associations were population specific, but in several cases were GWS in EAs and AAs for different SNPs at the same locus,showing biological convergence across populations. We confirmed well-known risk loci mapped to alcohol-metabolizing enzyme genes, notably ADH1B (EAs: Arg48His, P=1.17 × 10(-31); AAs: Arg369Cys, P=6.33 × 10(-17)) and ADH1C in AAs (Thr151Thr, P=4.94 × 10(-10)), and identified novel risk loci mapping to the ADH gene cluster on chromosome 4 and extending centromerically beyond it to include GWS associations at LOC100507053 in AAs (P=2.63 × 10(-11)), PDLIM5 in EAs (P=2.01 × 10(-8)), and METAP in AAs (P=3.35 × 10(-8)). We also identified a novel GWS association (1.17 × 10(-10)) mapped to chromosome 2 at rs1437396, between MTIF2 and CCDC88A, across all of the EA and AA cohorts, with supportive gene expression evidence, and population-specific GWS for markers on chromosomes 5, 9 and 19. Several of the novel associations implicate direct involvement of, or interaction with, genes previously identified as schizophrenia risk loci. Confirmation of known AD risk loci supports the overall validity of the study; the novel loci are worthy of genetic and biological follow-up. The findings support a convergence of risk genes (but not necessarily risk alleles) between populations, and, to a lesser extent, between psychiatric traits.

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Year:  2013        PMID: 24166409      PMCID: PMC4165335          DOI: 10.1038/mp.2013.145

Source DB:  PubMed          Journal:  Mol Psychiatry        ISSN: 1359-4184            Impact factor:   15.992


  37 in total

1.  ADH4 gene variation is associated with alcohol and drug dependence: results from family controlled and population-structured association studies.

Authors:  Xingguang Luo; Henry R Kranzler; Lingjun Zuo; Bao-zhu Yang; Jaakko Lappalainen; Joel Gelernter
Journal:  Pharmacogenet Genomics       Date:  2005-11       Impact factor: 2.089

2.  Principal components analysis corrects for stratification in genome-wide association studies.

Authors:  Alkes L Price; Nick J Patterson; Robert M Plenge; Michael E Weinblatt; Nancy A Shadick; David Reich
Journal:  Nat Genet       Date:  2006-07-23       Impact factor: 38.330

3.  Association within a family of a balanced autosomal translocation with major mental illness.

Authors:  D St Clair; D Blackwood; W Muir; A Carothers; M Walker; G Spowart; C Gosden; H J Evans
Journal:  Lancet       Date:  1990-07-07       Impact factor: 79.321

4.  Longitudinal data analysis for discrete and continuous outcomes.

Authors:  S L Zeger; K Y Liang
Journal:  Biometrics       Date:  1986-03       Impact factor: 2.571

5.  A polymorphism in the PDLIM5 gene associated with gene expression and schizophrenia.

Authors:  Yasue Horiuchi; Makoto Arai; Kazuhiro Niizato; Shyuji Iritani; Emiko Noguchi; Tsuyuka Ohtsuki; Minori Koga; Tadafumi Kato; Masanari Itokawa; Tadao Arinami
Journal:  Biol Psychiatry       Date:  2005-10-06       Impact factor: 13.382

6.  Association of alcohol dehydrogenase genes with alcohol dependence: a comprehensive analysis.

Authors:  Howard J Edenberg; Xiaoling Xuei; Hui-Ju Chen; Huijun Tian; Leah Flury Wetherill; Danielle M Dick; Laura Almasy; Laura Bierut; Kathleen K Bucholz; Alison Goate; Victor Hesselbrock; Samuel Kuperman; John Nurnberger; Bernice Porjesz; John Rice; Marc Schuckit; Jay Tischfield; Henri Begleiter; Tatiana Foroud
Journal:  Hum Mol Genet       Date:  2006-03-28       Impact factor: 6.150

7.  Diagnostic reliability of the Semi-structured Assessment for Drug Dependence and Alcoholism (SSADDA).

Authors:  Amira Pierucci-Lagha; Joel Gelernter; Richard Feinn; Joseph F Cubells; Deborah Pearson; Alisha Pollastri; Lindsay Farrer; Henry R Kranzler
Journal:  Drug Alcohol Depend       Date:  2005-12-12       Impact factor: 4.492

8.  Detection of specific polymerase chain reaction product by utilizing the 5'----3' exonuclease activity of Thermus aquaticus DNA polymerase.

Authors:  P M Holland; R D Abramson; R Watson; D H Gelfand
Journal:  Proc Natl Acad Sci U S A       Date:  1991-08-15       Impact factor: 11.205

9.  Genome-wide association study of opioid dependence: multiple associations mapped to calcium and potassium pathways.

Authors:  Joel Gelernter; Henry R Kranzler; Richard Sherva; Ryan Koesterer; Laura Almasy; Hongyu Zhao; Lindsay A Farrer
Journal:  Biol Psychiatry       Date:  2013-10-19       Impact factor: 13.382

10.  Genome-wide association study of cocaine dependence and related traits: FAM53B identified as a risk gene.

Authors:  J Gelernter; R Sherva; R Koesterer; L Almasy; H Zhao; H R Kranzler; L Farrer
Journal:  Mol Psychiatry       Date:  2013-08-20       Impact factor: 15.992

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  205 in total

Review 1.  Genetics of alcoholism.

Authors:  Priya A Iyer-Eimerbrink; John I Nurnberger
Journal:  Curr Psychiatry Rep       Date:  2014-12       Impact factor: 5.285

Review 2.  Beyond genome-wide significance: integrative approaches to the interpretation and extension of GWAS findings for alcohol use disorder.

Authors:  Jessica E Salvatore; Shizhong Han; Sean P Farris; Kristin M Mignogna; Michael F Miles; Arpana Agrawal
Journal:  Addict Biol       Date:  2018-01-09       Impact factor: 4.280

3.  Gene-Environment Interplay: Where We Are, Where We Are Going.

Authors:  Jessica E Salvatore; Danielle M Dick
Journal:  J Marriage Fam       Date:  2015-04

4.  The etiology of DSM-5 alcohol use disorder: Evidence of shared and non-shared additive genetic effects.

Authors:  Rohan H C Palmer; Leslie A Brick; Yi-Ling Chou; Arpana Agrawal; John E McGeary; Andrew C Heath; Laura Bierut; Matthew C Keller; Eric Johnson; Sarah M Hartz; Marc A Schuckit; Valerie S Knopik
Journal:  Drug Alcohol Depend       Date:  2019-06-14       Impact factor: 4.492

Review 5.  GABAA receptor polymorphisms in alcohol use disorder in the GWAS era.

Authors:  Mairi Koulentaki; Elias Kouroumalis
Journal:  Psychopharmacology (Berl)       Date:  2018-05-02       Impact factor: 4.530

6.  Alcohol Metabolizing Polygenic Risk for Alcohol Consumption in European American College Students.

Authors:  Nathaniel S Thomas; Amy Adkins; Fazil Aliev; Alexis C Edwards; Bradley T Webb; E Clare Tiarsmith; Kenneth S Kendler; Danielle M Dick; Karen G Chartier
Journal:  J Stud Alcohol Drugs       Date:  2018-07       Impact factor: 2.582

7.  Nf1 regulates alcohol dependence-associated excessive drinking and gamma-aminobutyric acid release in the central amygdala in mice and is associated with alcohol dependence in humans.

Authors:  Vez Repunte-Canonigo; Melissa Herman; Tomoya Kawamura; Henry R Kranzler; Richard Sherva; Joel Gelernter; Lindsay A Farrer; Marisa Roberto; Pietro Paolo Sanna
Journal:  Biol Psychiatry       Date:  2014-08-19       Impact factor: 13.382

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

Authors:  Bo Xiang; Bao-Zhu Yang; Hang Zhou; Henry Kranzler; Joel Gelernter
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2018-11-28       Impact factor: 3.568

9.  Genetic factor common to schizophrenia and HIV infection is associated with risky sexual behavior: antagonistic vs. synergistic pleiotropic SNPs enriched for distinctly different biological functions.

Authors:  Qian Wang; Renato Polimanti; Henry R Kranzler; Lindsay A Farrer; Hongyu Zhao; Joel Gelernter
Journal:  Hum Genet       Date:  2016-10-17       Impact factor: 4.132

10.  The role of conduct disorder in the relationship between alcohol, nicotine and cannabis use disorders.

Authors:  J D Grant; M T Lynskey; P A F Madden; E C Nelson; L R Few; K K Bucholz; D J Statham; N G Martin; A C Heath; A Agrawal
Journal:  Psychol Med       Date:  2015-08-18       Impact factor: 7.723

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