Evidence map›Paper›PMID 31151762›Full record

ArticleBiological psychiatry2019

Genome-wide Association Study of Maximum Habitual Alcohol Intake in >140,000 U.S. European and African American Veterans Yields Novel Risk Loci.

Joel Gelernter, Ning Sun, Renato Polimanti, Robert H Pietrzak, Daniel F Levey, Qiongshi Lu, Yiming Hu, Boyang Li, Krishnan Radhakrishnan, Mihaela Aslan and 20 more

Open access · greenAbstract read
In one paragraph

Article in Biological psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 7 pooled it
9.4field-weighted citation impact, top 1% 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

63 citing papers in PubMed, 7 syntheses or guidelines pooled it, 99 citations in OpenAlex.

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3 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

30 authors at 8 institutions in 1 country.

Joel GelernterPsychiatry Service, VA Connecticut Healthcare System, West Haven, Connecticut; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut. Electronic address: joel.gelernter@yale.edu.
Ning SunVeterans Affairs (VA) Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut; Department of Biostatistics, Yale University School of Medicine, New Haven, Connecticut.
Renato PolimantiPsychiatry Service, VA Connecticut Healthcare System, West Haven, Connecticut; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.
Robert H PietrzakPsychiatry Service, VA Connecticut Healthcare System, West Haven, Connecticut; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.
Daniel F LeveyPsychiatry Service, VA Connecticut Healthcare System, West Haven, Connecticut; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.
Qiongshi LuDepartment of Biostatistics, Yale University School of Medicine, New Haven, Connecticut.
Yiming HuDepartment of Biostatistics, Yale University School of Medicine, New Haven, Connecticut.
Boyang LiDepartment of Biostatistics, Yale University School of Medicine, New Haven, Connecticut.
Krishnan RadhakrishnanVeterans Affairs (VA) Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut.
Mihaela AslanVeterans Affairs (VA) Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut; Department of Medicine, Yale University School of Medicine, New Haven, Connecticut.
Kei-Hoi CheungVeterans Affairs (VA) Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut; Department of Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut.
Yuli LiVeterans Affairs (VA) Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut; Yale Center for Medical Informatics, Yale University School of Medicine, New Haven, Connecticut.
Nallakkandi RajeevanVeterans Affairs (VA) Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut; Yale Center for Medical Informatics, Yale University School of Medicine, New Haven, Connecticut.
Fred SaywardVeterans Affairs (VA) Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut; Yale Center for Medical Informatics, Yale University School of Medicine, New Haven, Connecticut.
Kelly HarringtonMassachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, Massachusetts; Department of Psychiatry, Boston University School of Medicine, Boston, Massachusetts.
Quan ChenVeterans Affairs (VA) Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut; Department of Biostatistics, Yale University School of Medicine, New Haven, Connecticut.
Kelly ChoMassachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, Massachusetts; Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Jacqueline HonerlawMassachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, Massachusetts.
Saiju PyarajanMassachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, Massachusetts; Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Todd LenczDepartment of Psychiatry, Hofstra Northwell School of Medicine, Hempstead, New York; Department of Molecular Medicine, Hofstra Northwell School of Medicine, Hempstead, New York; Department of Psychiatry, Division of Research, The Zucker Hillside Hospital Division of Northwell Health, Glen Oaks, New York; Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, Manhasset, New York.
Rachel QuadenMassachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, Massachusetts.
Yunling ShiMassachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, Massachusetts.
Haley Hunter-ZinckMassachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, Massachusetts.
J Michael GazianoMassachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, Massachusetts; Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Henry R KranzlerVeterans Integrated Services Networks (VISN) 4 Mental Illness Research, Education and Clinical Center, Crescenz VA Medical Center, Philadelphia, Pennsylvania; Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania.
John ConcatoVeterans Affairs (VA) Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut; Department of Medicine, Yale University School of Medicine, New Haven, Connecticut.
Hongyu ZhaoVeterans Affairs (VA) Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut; Department of Biostatistics, Yale University School of Medicine, New Haven, Connecticut.
Murray B SteinPsychiatry Service, VA San Diego Healthcare System, San Diego, California; Department of Psychiatry, University of California San Diego, La Jolla, California. Electronic address: mstein@ucsd.edu.
Department of Veterans Affairs Cooperative Studies Program (No. 575B)
Million Veteran Program
Yale University · USVA Boston Healthcare System · USBrigham and Women's Hospital · USBoston University · USNorthwell Health · USPhiladelphia VA Medical Center · USUniversity of California San Diego · USVA Connecticut Healthcare System · US

Funding

Subject CollectionU10AA008401 · NIAAA · SUNY DOWNSTATE MEDICAL CENTER · PI JESSICA E SALVATORE · 1989 to 2026
$162.7M
7/7 Psychiatric Genomics Consortium: Finding actionable variationU01MH109532 · NIMH · WASHINGTON UNIVERSITY · PI AGRAWAL, ARPANA, EDENBERG, HOWARD J · 2016 to 2020
$3.1M
3/7 Psychiatric Genomics Consortium: Finding actionable variationU01MH109536 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CHARNEY, ALEXANDER W, HUCKINS, LAURA MARIANNE · 2016 to 2020
$2.7M
CSRD VA I01 CX001849NIAAA NIH HHS U10 AA008401NIMH NIH HHS U01 MH109532NIMH NIH HHS U01 MH109536
6 · The paper itself

Abstract

backgroundHabitual alcohol use can be an indicator of alcohol dependence, which is associated with a wide range of serious health problems.

methodsWe 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.

resultsADH1B, on chromosome 4, was the lead locus for both populations: for the European American sample, rs1229984 (p = 4.9 × 10

conclusionsThe 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.

Indexed as

AdolescentAdultAgedAged, 80 and overAlcohol DrinkingAlcoholismBlack or African AmericanCRF Receptor, Type 1FemaleGenome-Wide Association StudyHumansLinear ModelsMaleMiddle AgedReceptors, Corticotropin-Releasing HormoneUnited StatesCRF Receptor, Type 1Receptors, Corticotropin-Releasing HormoneADH1BCRHR1Genome-wide association studyHabitual alcohol useMillion Veteran Program

Identifiers

PMID31151762
PMCPMC6919570
OpenAlexW2933424604

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.