Evidence map›Paper›PMID 27003187›Full record

ArticleTranslational psychiatry2016

Genome-wide polygenic scores for age at onset of alcohol dependence and association with alcohol-related measures.

M Kapoor, Y-L Chou, H J Edenberg, T Foroud, N G Martin, P A F Madden, J C Wang, S Bertelsen, L Wetherill, A Brooks and 12 more

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Recent advances in genetic studies of alcohol use disorders.Current genetic medicine reports · 2020
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
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

22 authors at 8 institutions in 2 countries.

M KapoorNeuroscience Genetics & Genomics Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Y-L ChouWashington University School of Medicine, St. Louis, MO, USA.
H J EdenbergIndiana University School of Medicine, Indianapolis, IN, USA.
T ForoudIndiana University School of Medicine, Indianapolis, IN, USA.
N G MartinQueensland Institute of Medical Research, Brisbane, QLD, Australia.
P A F MaddenWashington University School of Medicine, St. Louis, MO, USA.
J C WangNeuroscience Genetics & Genomics Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
S BertelsenNeuroscience Genetics & Genomics Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
L WetherillIndiana University School of Medicine, Indianapolis, IN, USA.
A BrooksRutgers University, New Brunswick, NJ, USA.
G ChanUniversity of Connecticut Health Center, Farmington, CT, USA.
V HesselbrockUniversity of Connecticut Health Center, Farmington, CT, USA.
S KupermanUniversity of Iowa Carver College of Medicine, Iowa City, IA, USA.
S E MedlandQueensland Institute of Medical Research, Brisbane, QLD, Australia.
G MontgomeryQueensland Institute of Medical Research, Brisbane, QLD, Australia.
J TischfieldRutgers University, New Brunswick, NJ, USA.
J B WhitfieldQueensland Institute of Medical Research, Brisbane, QLD, Australia.
L J BierutWashington University School of Medicine, St. Louis, MO, USA.
A C HeathWashington University School of Medicine, St. Louis, MO, USA.
K K BucholzWashington University School of Medicine, St. Louis, MO, USA.
A M GoateNeuroscience Genetics & Genomics Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
A AgrawalWashington University School of Medicine, St. Louis, MO, USA.
Washington University in St. Louis · USIcahn School of Medicine at Mount Sinai · USQIMR Berghofer Medical Research Institute · AUIndiana University – Purdue University Indianapolis · USRutgers, The State University of New Jersey · USUConn Health · USIndiana University School of MedicineUniversity of Iowa · US

Funding

Subject CollectionU10AA008401 · NIAAA · SUNY DOWNSTATE MEDICAL CENTER · PI JESSICA E SALVATORE · 1989 to 2026
$162.7M
JH/CIDR Genotyping for Genome-Wide Association StudiesU01HG004438 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID · 2007 to 2011
$24.2M
Indiana Clinical and Translational Sciences InstituteUL1TR001108 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$23.3M
The Collaborative Genetic Study of Nicotine DependenceP01CA089392 · NCI · WASHINGTON UNIVERSITY · PI GOATE, ALISON M · 2001 to 2012
$17.3M
PILOT--GENETIC EPIDEMIOLOGY OF ALCOHOL AND TOBACCO CONSUMPTION IN CHINESE SAMPLEP50AA011998 · NIAAA · WASHINGTON UNIVERSITY · PI SHER, KENNETH JAMES · 1999 to 2008
$12.6M
THE GENETICS OF VULNERABILITY TO NICOTINE ADDICTIONSR01DA012854 · NIDA · WASHINGTON UNIVERSITY · PI MADDEN, PAMELA ANN · 2000 to 2013
$10.4M
Genome Wide Association Coordinating CenterU01HG004446 · NHGRI · UNIVERSITY OF WASHINGTON · PI WEIR, BRUCE S. · 2007 to 2011
$6.6M
Molecular Epidemiology of Alcoholism 3 - EDAC FamiliesR01AA013321 · NIAAA · WASHINGTON UNIVERSITY · PI HEATH, ANDREW C. · 2001 to 2005
$4.3M
Molecular Epidemiology of Alcoholism 2- Big SibshipsR01AA013320 · NIAAA · WASHINGTON UNIVERSITY · PI HEATH, ANDREW C. · 2003 to 2007
$3.1M
FAMILY STUDY OF COCAINE DEPENDENCER01DA013423 · NIDA · WASHINGTON UNIVERSITY · PI BIERUT, LAURA JEAN · 2000 to 2004
$2.2M
Genetic Epideniologic Models of Alcohol AbuseR37AA007728 · NIAAA · WASHINGTON UNIVERSITY · PI HEATH, ANDREW C. · 1998 to 2007
$2.2M
VARIATION IN THE EFFECTS OF ALCOHOL ON LIVER FUNCTIONR01AA014041 · NIAAA · QUEENSLAND INSTITUTE OF MEDICAL RESEARCH · PI WHITFIELD, JOHN B · 2003 to 2007
$2.1M
NCATS NIH HHS UL1 TR001108NCI NIH HHS P01 CA089392NCI NIH HHS P01CA089392NHGRI NIH HHS HHSN268200782096CNHGRI NIH HHS U01 HG004422NHGRI NIH HHS U01HG004422NHGRI NIH HHS U01 HG004438NHGRI NIH HHS U01 HG004446NIAAA NIH HHS K05 AA017688NIAAA NIH HHS P50 AA011998NIAAA NIH HHS R01 AA007535NIAAA NIH HHS R01 AA007728NIAAA NIH HHS R01 AA013320NIAAA NIH HHS R01 AA013321NIAAA NIH HHS R01 AA014041NIAAA NIH HHS R21 AA021235NIAAA NIH HHS R21AA021235NIAAA NIH HHS R37 AA007728NIAAA NIH HHS U10 AA008401NIAAA NIH HHS U10AA008401NIDA NIH HHS K02 DA032573NIDA NIH HHS K02DA32573NIDA NIH HHS K08 DA019951NIDA NIH HHS R01 DA012854NIDA NIH HHS R01 DA013423NIDA NIH HHS R01DA013423NIDA NIH HHS R01 DA019963NIDA NIH HHS R01DA019963NIDA NIH HHS R56 DA012854
6 · The paper itself

Abstract

Age at onset of alcohol dependence (AO-AD) is a defining feature of multiple drinking typologies. AO-AD is heritable and likely shares genetic liability with other aspects of alcohol consumption. We examine whether polygenic variation in AO-AD, based on a genome-wide association study (GWAS), was associated with AO-AD and other aspects of alcohol consumption in two independent samples. Genetic risk scores (GRS) were created based on AO-AD GWAS results from a discovery sample of 1788 regular drinkers from extended pedigrees from the Collaborative Study of the Genetics of Alcoholism (COGA). GRS were used to predict AO-AD, AD and Alcohol dependence symptom count (AD-SX), age at onset of intoxication (AO-I), as well as maxdrinks in regular drinking participants from two independent samples-the Study of Addictions: Genes and Environment (SAGE; n=2336) and an Australian sample (OZ-ALC; n=5816). GRS for AO-AD from COGA explained a modest but significant proportion of the variance in all alcohol-related phenotypes in SAGE. Despite including effect sizes associated with large numbers of single nucleotide polymorphisms (SNPs; >110 000), GRS explained, at most, 0.7% of the variance in these alcohol measures in this independent sample. In OZ-ALC, significant but even more modest associations were noted with variance estimates ranging from 0.03 to 0.16%. In conclusion, there is modest evidence that genetic variation in AO-AD is associated with liability to other aspects of alcohol involvement.

Indexed as

AdultAge of OnsetAlcoholismAustraliaFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMiddle AgedMultifactorial InheritancePedigreePhenotypeUnited StatesWhite People

Identifiers

PMID27003187
PMCPMC4872451
OpenAlexW2318421188

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.