TY - JOUR
T1 - Genome-wide Association Study of Maximum Habitual Alcohol Intake in >140,000 U.S. European and African American Veterans Yields Novel Risk Loci
AU - Department of Veterans Affairs Cooperative Studies Program (No. 575B)
AU - Million Veteran Program
AU - Gelernter, Joel
AU - Sun, Ning
AU - Polimanti, Renato
AU - Pietrzak, Robert H.
AU - Levey, Daniel F.
AU - Lu, Qiongshi
AU - Hu, Yiming
AU - Li, Boyang
AU - Radhakrishnan, Krishnan
AU - Aslan, Mihaela
AU - Cheung, Kei Hoi
AU - Li, Yuli
AU - Rajeevan, Nallakkandi
AU - Sayward, Fred
AU - Harrington, K.
AU - Chen, Quan
AU - Cho, K.
AU - Honerlaw, Jacqueline
AU - Pyarajan, S.
AU - Lencz, Todd
AU - Quaden, Rachel
AU - Shi, Yunling
AU - Hunter-Zinck, H.
AU - Gaziano, J. Michael
AU - Kranzler, Henry R.
AU - Concato, John
AU - Zhao, Hongyu
AU - Stein, Murray B.
N1 - Funding Information:
This research is based on data from the MVP, Office of Research and Development, Veterans Health Administration, and was supported by MVP and the Veterans Affairs Cooperative Studies Program study No. 575B . The Psychiatric Genomics Consortium Substance Use Disorders working group (PGC-SUD) is supported by funds from the National Institute on Drug Abuse and the National Institute of Mental Health through Grant No. MH109532 and, previously, had analyst support from the National Institute on Alcohol Abuse and Alcoholism through Grant No. U01AA008401 (Collaborative Study on the Genetics of Alcoholism).
Funding Information:
This research is based on data from the MVP, Office of Research and Development, Veterans Health Administration, and was supported by MVP and the Veterans Affairs Cooperative Studies Program study No. 575B. The Psychiatric Genomics Consortium Substance Use Disorders working group (PGC-SUD) is supported by funds from the National Institute on Drug Abuse and the National Institute of Mental Health through Grant No. MH109532 and, previously, had analyst support from the National Institute on Alcohol Abuse and Alcoholism through Grant No. U01AA008401 (Collaborative Study on the Genetics of Alcoholism). We appreciate the availability of summary statistic data from the PGC-SUD. The PGC-SUD gratefully acknowledges its contributing studies and the participants in those studies without whom this effort would not be possible. Summary statistics for all genome-wide association study analyses are freely available. The dbGaP accession assigned to the MVP is phs001672.v1.p (https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001672.v1.p1). Additionally, investigators who wish to gain access to the individual-level data may contact JG or MBS; access to these data will be available in one of our laboratories on a collaborative basis. MVP is presently working toward developing ways to make individual-level coded data more broadly accessible as allowed by the consent and consistent with the MVP data access policies and procedures. JG and HRK are named as coinventors on Patent Cooperation Treaty Patent Application No. 15/878,640: ?Genotype-guided dosing of opioid agonists,? filed January 24, 2018. MBS has in the past 3 years been a consultant for Actelion, Aptinyx, Bionomics, Dart Neuroscience, Healthcare Management Technologies, Janssen, Jazz Pharmaceuticals, Neurocrine Biosciences, Oxeia Biopharmaceuticals, and Pfizer; owns founders shares and stock options in Resilience Therapeutics; and has stock options in Oxeia Biopharmaceuticals. HRK has been an advisory board member, consultant, or continuing medical education speaker for Alkermes, Indivior, and Lundbeck; and is a member of the American Society of Clinical Psychopharmacology's Alcohol Clinical Trials Initiative, which was supported in the last 3 years by AbbVie, Alkermes, Ethypharm, Indivior, Lilly, Lundbeck, Otsuka, Pfizer, Arbor, and Amygdala Neurosciences. The other authors report no biomedical financial interests or potential conflicts of interest.
Publisher Copyright:
© 2019
PY - 2019/9/1
Y1 - 2019/9/1
N2 - Background: Habitual alcohol use can be an indicator of alcohol dependence, which is associated with a wide range of serious health problems. Methods: We completed a genome-wide association study in 126,936 European American and 17,029 African American subjects in the Veterans Affairs Million Veteran Program for a quantitative phenotype based on maximum habitual alcohol consumption. Results: ADH1B, on chromosome 4, was the lead locus for both populations: for the European American sample, rs1229984 (p = 4.9 × 10−47); for African American, rs2066702 (p = 2.3 × 10−12). In the European American sample, we identified three additional genome-wide–significant maximum habitual alcohol consumption loci: on chromosome 17, rs77804065 (p = 1.5 × 10−12), at CRHR1 (corticotropin-releasing hormone receptor 1); the protein product of this gene is involved in stress and immune responses; and on chromosomes 8 and 10. European American and African American samples were then meta-analyzed; the associated region at CRHR1 increased in significance to 1.02 × 10−13, and we identified two additional genome-wide significant loci, FGF14 (p = 9.86 × 10−9) (chromosome 13) and a locus on chromosome 11. Besides ADH1B, none of the five loci have prior genome-wide significant support. Post–genome-wide association study analysis identified genetic correlation to other alcohol-related traits, smoking-related traits, and many others. Replications were observed in UK Biobank data. Genetic correlation between maximum habitual alcohol consumption and alcohol dependence was 0.87 (p = 4.78 × 10−9). Enrichment for cell types included dopaminergic and gamma-aminobutyric acidergic neurons in midbrain, and pancreatic delta cells. Conclusions: The present study supports five novel alcohol-use risk loci, with particularly strong statistical support for CRHR1. Additionally, we provide novel insight regarding the biology of harmful alcohol use.
AB - Background: Habitual alcohol use can be an indicator of alcohol dependence, which is associated with a wide range of serious health problems. Methods: We completed a genome-wide association study in 126,936 European American and 17,029 African American subjects in the Veterans Affairs Million Veteran Program for a quantitative phenotype based on maximum habitual alcohol consumption. Results: ADH1B, on chromosome 4, was the lead locus for both populations: for the European American sample, rs1229984 (p = 4.9 × 10−47); for African American, rs2066702 (p = 2.3 × 10−12). In the European American sample, we identified three additional genome-wide–significant maximum habitual alcohol consumption loci: on chromosome 17, rs77804065 (p = 1.5 × 10−12), at CRHR1 (corticotropin-releasing hormone receptor 1); the protein product of this gene is involved in stress and immune responses; and on chromosomes 8 and 10. European American and African American samples were then meta-analyzed; the associated region at CRHR1 increased in significance to 1.02 × 10−13, and we identified two additional genome-wide significant loci, FGF14 (p = 9.86 × 10−9) (chromosome 13) and a locus on chromosome 11. Besides ADH1B, none of the five loci have prior genome-wide significant support. Post–genome-wide association study analysis identified genetic correlation to other alcohol-related traits, smoking-related traits, and many others. Replications were observed in UK Biobank data. Genetic correlation between maximum habitual alcohol consumption and alcohol dependence was 0.87 (p = 4.78 × 10−9). Enrichment for cell types included dopaminergic and gamma-aminobutyric acidergic neurons in midbrain, and pancreatic delta cells. Conclusions: The present study supports five novel alcohol-use risk loci, with particularly strong statistical support for CRHR1. Additionally, we provide novel insight regarding the biology of harmful alcohol use.
KW - ADH1B
KW - CRHR1
KW - Genome-wide association study
KW - Habitual alcohol use
KW - Million Veteran Program
UR - http://www.scopus.com/inward/record.url?scp=85071353245&partnerID=8YFLogxK
U2 - 10.1016/j.biopsych.2019.03.984
DO - 10.1016/j.biopsych.2019.03.984
M3 - Article
C2 - 31151762
AN - SCOPUS:85071353245
SN - 0006-3223
VL - 86
SP - 365
EP - 376
JO - Biological Psychiatry
JF - Biological Psychiatry
IS - 5
ER -