Evidence map›Paper›PMID 34302059›Full record

SynthesisNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2021

Genetic contributions to alcohol use disorder treatment outcomes: a genome-wide pharmacogenomics study.

Joanna M Biernacka, Brandon J Coombes, Anthony Batzler, Ada Man-Choi Ho, Jennifer R Geske, Josef Frank, Colin Hodgkinson, Michelle Skime, Colin Colby, Lea Zillich and 10 more

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
4.7field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 45 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors at 6 institutions in 2 countries.

Joanna M BiernackaDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA. biernacka.joanna@mayo.edu.ORCID http://orcid.org/0000-0001-9350-4440
Brandon J CoombesDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0003-4322-5923
Anthony BatzlerDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Ada Man-Choi HoDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0003-4989-8782
Jennifer R GeskeDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0002-7341-1535
Josef FrankDepartment of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.ORCID http://orcid.org/0000-0003-4867-9465
Colin HodgkinsonNational Institute on Alcohol Abuse and Alcoholism, Rockville, MD, USA.ORCID http://orcid.org/0000-0002-5365-8119
Michelle SkimeDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA.
Colin ColbyDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Lea ZillichDepartment of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Sofia PozsonyiovaDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Ming-Fen HoDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0002-3757-3924
Falk KieferDepartment of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Marcella RietschelDepartment of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.ORCID http://orcid.org/0000-0002-5236-6149
Richard WeinshilboumDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA.
Stephanie S O'MalleyYale School of Medicine, New Haven, CT, USA.
Karl MannDepartment of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.ORCID http://orcid.org/0000-0002-2087-1976
Ray AntonMedical University of South Carolina, Charleston, SC, USA.ORCID http://orcid.org/0000-0003-3417-6576
David GoldmanNational Institute on Alcohol Abuse and Alcoholism, Rockville, MD, USA.ORCID http://orcid.org/0000-0002-1724-5405
Victor M KarpyakDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0002-9552-6130
Mayo Clinic · USHeidelberg University · DEMayo Clinic in Florida · USNational Institute on Alcohol Abuse and Alcoholism · USMedical University of South Carolina · USYale University · US

Funding

Integrative genetics of behavior with high throughput technologiesZIAAA000301 · NIAAA · NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM · PI GOLDMAN, DAVID · 2009 to 2025
$68.6M
TREATING ETHANOL WITHDRAWAL WITH LORAZEPAM/NALTREXONEP50AA010761 · NIAAA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI Patrick J. Mulholland · 1996 to 2026
$46.8M
Alcohol Use Disorder: Acamprosate Pharmacometabolomics-informed PharmacogenomicsR01AA027486 · NIAAA · MAYO CLINIC ROCHESTER · PI Ming-Fen Ho, Richard M. Weinshilboum · 2018 to 2026
$4.0M
Pharmacogenomics of Acamprosate Treatment Outcome (Supplement)U01AA027487 · NIAAA · MAYO CLINIC ROCHESTER · PI BIERNACKA, JOANNA M, KARPYAK, VICTOR M. · 2018 to 2023
$3.7M
The Mayo Clinic Center for Individualized Treatment of Alcohol DependenceP20AA017830 · NIAAA · MAYO CLINIC ROCHESTER · PI CHOI, DOO-SUP · 2009 to 2010
$2.5M
Acamprosate pharmacogenomics: iPSC based model of alcohol use disorderK01AA028050 · NIAAA · MAYO CLINIC ROCHESTER · PI HO, MING-FEN · 2019 to 2024
$649k
Pharmacogenomics of Treatment Outcomes in Alcohol Use DisordersR21AA025214 · NIAAA · MAYO CLINIC ROCHESTER · PI BIERNACKA, JOANNA M, KARPYAK, VICTOR M. · 2016 to 2017
$417k
NIAAA NIH HHS K01 AA028050NIAAA NIH HHS P20 AA017830NIAAA NIH HHS P50 AA010761NIAAA NIH HHS R01 AA027486NIAAA NIH HHS R21 AA025214NIAAA NIH HHS U01 AA027487U.S. Department of Health & Human Services | NIH | National Institute on Alcohol Abuse and Alcoholism (NIAAA) AA017830U.S. Department of Health & Human Services | NIH | National Institute on Alcohol Abuse and Alcoholism (NIAAA) AA027487U.S. Department of Health & Human Services | NIH | National Institute on Alcohol Abuse and Alcoholism (NIAAA) AA25214U.S. Department of Health & Human Services | NIH | National Institute on Alcohol Abuse and Alcoholism (NIAAA) AA27486
6 · The paper itself

Abstract

Naltrexone can aid in reducing alcohol consumption, while acamprosate supports abstinence; however, not all patients with alcohol use disorder (AUD) benefit from these treatments. Here we present the first genome-wide association study of AUD treatment outcomes based on data from the COMBINE and PREDICT studies of acamprosate and naltrexone, and the Mayo Clinic CITA study of acamprosate. Primary analyses focused on treatment outcomes regardless of pharmacological intervention and were followed by drug-stratified analyses to identify treatment-specific pharmacogenomic predictors of acamprosate and naltrexone response. Treatment outcomes were defined as: (1) time until relapse to any drinking (TR) and (2) time until relapse to heavy drinking (THR; ≥ 5 drinks for men, ≥4 drinks for women in a day), during the first 3 months of treatment. Analyses were performed within each dataset, followed by meta-analysis across the studies (N = 1083 European ancestry participants). Single nucleotide polymorphisms (SNPs) in the BRE gene were associated with THR (min p = 1.6E-8) in the entire sample, while two intergenic SNPs were associated with medication-specific outcomes (naltrexone THR: rs12749274, p = 3.9E-8; acamprosate TR: rs77583603, p = 3.1E-9). The top association signal for TR (p = 7.7E-8) and second strongest signal in the THR (p = 6.1E-8) analysis of naltrexone-treated patients maps to PTPRD, a gene previously implicated in addiction phenotypes in human and animal studies. Leave-one-out polygenic risk score analyses showed significant associations with TR (p = 3.7E-4) and THR (p = 2.6E-4). This study provides the first evidence of a polygenic effect on AUD treatment response, and identifies genetic variants associated with potentially medication-specific effects on AUD treatment response.

Indexed as

Alcohol DeterrentsAlcoholismFemaleGenome-Wide Association StudyHumansMaleNaltrexoneNarcotic AntagonistsPharmacogeneticsTaurineTreatment OutcomeAlcohol DeterrentsNaltrexoneNarcotic AntagonistsTaurine

Identifiers

PMID34302059
PMCPMC8505452
OpenAlexW3186816724

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.