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Lai D, Wetherill L, Bertelsen S, Carey CE, Kamarajan C, Kapoor M, Meyers JL, Anokhin AP, Bennett DA, Bucholz KK, Chang KK, De Jager PL, Dick DM, Hesselbrock V, Kramer J, Kuperman S, Nurnberger JI, Raj T, Schuckit M, Scott DM, Taylor RE, Tischfield J, Hariri AR, Edenberg HJ, Agrawal A, Bogdan R, Porjesz B, Goate AM, Foroud T. Genome-wide association studies of alcohol dependence, DSM-IV criterion count and individual criteria. GENES, BRAIN, AND BEHAVIOR 2019; 18:e12579. [PMID: 31090166 PMCID: PMC6612573 DOI: 10.1111/gbb.12579] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Revised: 04/19/2019] [Accepted: 05/11/2019] [Indexed: 01/04/2023]
Abstract
Genome-wide association studies (GWAS) of alcohol dependence (AD) have reliably identified variation within alcohol metabolizing genes (eg, ADH1B) but have inconsistently located other signals, which may be partially attributable to symptom heterogeneity underlying the disorder. We conducted GWAS of DSM-IV AD (primary analysis), DSM-IV AD criterion count (secondary analysis), and individual dependence criteria (tertiary analysis) among 7418 (1121 families) European American (EA) individuals from the Collaborative Study on the Genetics of Alcoholism (COGA). Trans-ancestral meta-analyses combined these results with data from 3175 (585 families) African-American (AA) individuals from COGA. In the EA GWAS, three loci were genome-wide significant: rs1229984 in ADH1B for AD criterion count (P = 4.16E-11) and Desire to cut drinking (P = 1.21E-11); rs188227250 (chromosome 8, Drinking more than intended, P = 6.72E-09); rs1912461 (chromosome 15, Time spent drinking, P = 1.77E-08). In the trans-ancestral meta-analysis, rs1229984 was associated with multiple phenotypes and two additional loci were genome-wide significant: rs61826952 (chromosome 1, DSM-IV AD, P = 8.42E-11); rs7597960 (chromosome 2, Time spent drinking, P = 1.22E-08). Associations with rs1229984 and rs18822750 were replicated in independent datasets. Polygenic risk scores derived from the EA GWAS of AD predicted AD in two EA datasets (P < .01; 0.61%-1.82% of variance). Identified novel variants (ie, rs1912461, rs61826952) were associated with differential central evoked theta power (loss - gain; P = .0037) and reward-related ventral striatum reactivity (P = .008), respectively. This study suggests that studying individual criteria may unveil new insights into the genetic etiology of AD liability.
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Affiliation(s)
- Dongbing Lai
- Department of Medical and Molecular Genetics, Indiana
University School of Medicine, Indianapolis, IN
| | - Leah Wetherill
- Department of Medical and Molecular Genetics, Indiana
University School of Medicine, Indianapolis, IN
| | - Sarah Bertelsen
- Department of Neuroscience, Icahn School of Medicine at Mt.
Sinai, New York, NY
| | - Caitlin E. Carey
- BRAIN Lab, Department of Psychological and Brain Sciences,
Washington University School of Medicine, St. Louis, MO
| | - Chella Kamarajan
- Henri Begleiter Neurodynamics Lab, Department of
Psychiatry, State University of New York, Downstate Medical Center, Brooklyn,
NY
| | - Manav Kapoor
- Department of Neuroscience, Icahn School of Medicine at Mt.
Sinai, New York, NY
| | - Jacquelyn L. Meyers
- Henri Begleiter Neurodynamics Lab, Department of
Psychiatry, State University of New York, Downstate Medical Center, Brooklyn,
NY
| | - Andrey P. Anokhin
- Department of Psychiatry, Washington University School of
Medicine, St. Louis, MO
| | - David A. Bennett
- Rush Alzheimer's Disease Center, Rush University
Medical Center, Chicago, IL
| | - Kathleen K. Bucholz
- Department of Psychiatry, Washington University School of
Medicine, St. Louis, MO
| | - Katharine K. Chang
- BRAIN Lab, Department of Psychological and Brain Sciences,
Washington University School of Medicine, St. Louis, MO
| | - Philip L. De Jager
- Departments of Neurology and Psychiatry, Brigham and
Women's Hospital, Boston, MA
| | - Danielle M. Dick
- Department of Psychology, Virginia Commonwealth University,
Richmond, VA
| | | | - John Kramer
- Department of Psychiatry, Roy Carver College of Medicine,
University of Iowa, Iowa City, IA
| | - Samuel Kuperman
- Department of Psychiatry, Roy Carver College of Medicine,
University of Iowa, Iowa City, IA
| | - John I. Nurnberger
- Department of Medical and Molecular Genetics, Indiana
University School of Medicine, Indianapolis, IN
- Department of Psychiatry, Indiana University School of
Medicine, Indianapolis, IN
| | - Towfique Raj
- Department of Neuroscience, Icahn School of Medicine at Mt.
Sinai, New York, NY
| | - Marc Schuckit
- Department of Psychiatry, University of California, San
Diego Medical School, San Diego, CA
| | - Denise M. Scott
- Departments of Pediatrics and Human Genetics, Howard
University, Washington, DC
| | | | | | - Ahmad R. Hariri
- Laboratory of NeuroGenetics, Department of Psychology and
Neuroscience, Duke University, Durham, NC, USA
| | - Howard J. Edenberg
- Department of Medical and Molecular Genetics, Indiana
University School of Medicine, Indianapolis, IN
- Department of Biochemistry and Molecular Biology, Indiana
University School of Medicine, Indianapolis, IN
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of
Medicine, St. Louis, MO
| | - Ryan Bogdan
- BRAIN Lab, Department of Psychological and Brain Sciences,
Washington University School of Medicine, St. Louis, MO
| | - Bernice Porjesz
- Henri Begleiter Neurodynamics Lab, Department of
Psychiatry, State University of New York, Downstate Medical Center, Brooklyn,
NY
| | - Alison M. Goate
- Department of Neuroscience, Icahn School of Medicine at Mt.
Sinai, New York, NY
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana
University School of Medicine, Indianapolis, IN
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