Genome-Wide Investigation of Maximum Habitual Alcohol Intake in US Veterans in Relation to Alcohol Consumption Traits and Alcohol Use Disorder.


Journal

JAMA network open
ISSN: 2574-3805
Titre abrégé: JAMA Netw Open
Pays: United States
ID NLM: 101729235

Informations de publication

Date de publication:
03 10 2022
Historique:
entrez: 27 10 2022
pubmed: 28 10 2022
medline: 1 11 2022
Statut: epublish

Résumé

Alcohol genome-wide association studies (GWASs) have generally focused on alcohol consumption and alcohol use disorder (AUD); few have examined habitual drinking behaviors like maximum habitual alcohol intake (MaxAlc). To identify genetic loci associated with MaxAlc and to elucidate the genetic architecture across alcohol traits. This MaxAlc genetic association study was performed among Million Veteran Program participants enrolled from January 10, 2011, to September 30, 2020. Ancestry-specific GWASs were conducted in participants with European (n = 218 623) and African (n = 29 132) ancestry, then meta-analyzed (N = 247 755). Linkage-disequilibrium score regression was used to estimate single nucleotide variant (SNV)-heritability and genetic correlations (rg) with other alcohol and psychiatric traits. Genomic structural equation modeling (gSEM) was used to evaluate genetic associations between MaxAlc and other alcohol traits. Mendelian randomization was used to examine potential causal relationships between MaxAlc and liver enzyme levels. MTAG (multitrait analysis of GWAS) was used to analyze MaxAlc and problematic alcohol use (PAU) jointly. Genetic associations. MaxAlc was defined from the following survey item: "in a typical month, what is/was the largest number of drinks of alcohol you may have had in one day?" with ordinal responses from 0 to 15 or more drinks. GWASs were conducted on sample sizes of as many as 247 455 US veterans. Participants were 92.68% male and had mean (SD) age of 65.92 (11.70) years. The MaxAlc GWAS resulted in 15 genome-wide significant loci. Top associations in European-ancestry and African-ancestry participants were with known functional variants in the ADH1B gene, namely rs1229984 (P = 3.12 × 10-101) and rs2066702 (P = 6.30 × 10-17), respectively. Novel associations were also found. SNV-heritability was 6.65% (SE, 0.41) in European-ancestry participants and 3.42% (SE, 1.46) in African-ancestry participants. MaxAlc was positively correlated with PAU (rg = 0.79; P = 3.95 × 10-149) and AUD (rg = 0.76; P = 1.26 × 10-127) and had negative rg with the UK Biobank "alcohol usually taken with meals" (rg = -0.53; P = 1.40 × 10-50). For psychiatric traits, MaxAlc had the strongest genetic correlation with suicide attempt (rg = 0.40; P = 3.02 × 10-21). gSEM supported a 2-factor model with MaxAlc loading on a factor with PAU and AUD and other alcohol consumption measures loading on a separate factor. Mendelian randomization supported an association between MaxAlc and the liver enzyme gamma-glutamyltransferase (β = 0.012; P = 2.66 × 10-10). MaxAlc MTAG resulted in 31 genome-wide significant loci. The findings suggest that MaxAlc closely aligns genetically with PAU traits. This study improves understanding of the mechanisms associated with normative alcohol consumption vs problematic habitual use and AUD as well as how MaxAlc relates to psychiatric and medical conditions genetically and biologically.

Identifiants

pubmed: 36301540
pii: 2797780
doi: 10.1001/jamanetworkopen.2022.38880
pmc: PMC9614582
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2238880

Subventions

Organisme : Medical Research Council
ID : MC_PC_17228
Pays : United Kingdom
Organisme : BLRD VA
ID : IK2 BX005058
Pays : United States
Organisme : NIDCD NIH HHS
ID : R21 DC018098
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001863
Pays : United States
Organisme : NIMH NIH HHS
ID : F32 MH122058
Pays : United States
Organisme : NIDA NIH HHS
ID : R33 DA047527
Pays : United States
Organisme : Medical Research Council
ID : MC_QA137853
Pays : United Kingdom

Investigateurs

Sumitra Muralidhar (S)
Jennifer Moser (J)
Jennifer E Deen (JE)
J Michael Gaziano (JM)
Jean Beckham (J)
Kyong-Mi Chang (KM)
Philip S Tsao (PS)
Shiuh-Wen Luoh (SW)
Juan P Casas (JP)
Lori Churby (L)
Stacey B Whitbourne (SB)
Jessica V Brewer (JV)
Mary T Brophy (MT)
Luis E Selva (LE)
Shahpoor Shayan (S)
Kelly Cho (K)
Saiju Pyarajan (S)
Scott L DuVall (SL)
Todd A Connor (TA)
Dean P Argyres (DP)
Mihaela Aslan (M)
Brady Stephens (B)
John Concato (J)
Joel Gelernter (J)
Terri Gleason (T)
Grant D Huang (GD)
Karestan C Koenen (KC)
Christine Marx (C)
Krishnan Radhakrishnan (K)
Nicholas Schork (N)
Murray Stein (M)
Hongyu Zhao (H)
Joan Kaufman (J)
Yaira Nunez (Y)
Robert H Pietrzak (RH)
Danielle Beck (D)
Shada Cissell (S)
Patricia Crutchfield (P)
William Lance (W)
Kei-Hoi Cheung (KH)
Yuli Li (Y)
Ning Sun (N)
Quan Chen (Q)
Nallakkandi Rajeevan (N)
Frederick Sayward (F)
David R Gagnon (DR)
Kelly Harrington (K)
Rachel Quaden (R)
Timothy O'Leary (T)
Rachel B Ramoni (RB)

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Auteurs

Joseph D Deak (JD)

Yale School of Medicine, New Haven, Connecticut.
VA Connecticut Healthcare Center, West Haven, Connecticut.

Daniel F Levey (DF)

Yale School of Medicine, New Haven, Connecticut.
VA Connecticut Healthcare Center, West Haven, Connecticut.

Frank R Wendt (FR)

Yale School of Medicine, New Haven, Connecticut.
VA Connecticut Healthcare Center, West Haven, Connecticut.

Hang Zhou (H)

Yale School of Medicine, New Haven, Connecticut.
VA Connecticut Healthcare Center, West Haven, Connecticut.

Marco Galimberti (M)

Yale School of Medicine, New Haven, Connecticut.
VA Connecticut Healthcare Center, West Haven, Connecticut.

Henry R Kranzler (HR)

University of Pennsylvania Perelman School of Medicine, Philadelphia.
Crescenz VA Medical Center, Philadelphia, Pennsylvania.

J Michael Gaziano (JM)

Massachusetts Veterans Epidemiology and Research Information Center (MAVERIC), Boston Veterans Affairs Healthcare System, Boston.
Department of Medicine, Divisions of Aging and Preventative Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Department of Medicine, Harvard Medical School, Boston, Massachusetts.

Murray B Stein (MB)

University of California, San Diego, La Jolla.
VA San Diego Healthcare System, San Diego, California.

Renato Polimanti (R)

Yale School of Medicine, New Haven, Connecticut.
VA Connecticut Healthcare Center, West Haven, Connecticut.

Joel Gelernter (J)

Yale School of Medicine, New Haven, Connecticut.
VA Connecticut Healthcare Center, West Haven, Connecticut.

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