Evidence map›Paper›PMID 25171596›Full record

SynthesisPsychological medicine2015

The heritability of alcohol use disorders: a meta-analysis of twin and adoption studies.

B Verhulst, M C Neale, K S Kendler

Abstract readMeta-AnalysisTwin Study
In one paragraph

Synthesis in Psychological medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 382 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
382citing papers in PubMed, 8 pooled it
–field-weighted citation impact
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

382 citing papers in PubMed, 8 syntheses or guidelines pooled it.

  1. Pooled it
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  7. Genome-wide meta-analysis of alcohol use disorder in East Asians.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022
    Pooled it
  8. Pooled it
  9. Trial
  10. Review
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  18. Multi-Ancestry Survival GWAS of Substance Use Initiation in the ABCD Study.medRxiv : the preprint server for health sciences · 2026
    Article
  19. Article
  20. Article

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

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

3 authors.

B VerhulstDepartment of Psychiatry,Virginia Commonwealth University School of Medicine,Richmond,VA,USA.
M C NealeDepartment of Psychiatry,Virginia Commonwealth University School of Medicine,Richmond,VA,USA.
K S KendlerDepartment of Psychiatry,Virginia Commonwealth University School of Medicine,Richmond,VA,USA.

Funding

An Alcohol Affected Sib Pair Study of Alcohol DependenceR37AA011408 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI KENDLER, KENNETH SEEDMAN · 2007 to 2016
$6.5M
Psychometric and Genetic Assessments of Substance UseR37DA018673 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI NEALE, MICHAEL CHURTON · 2005 to 2014
$3.7M
IRISH AFFECTED SIB PAIR STUDY OF ALCOHOL DEPENDENCER01AA011408 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI KENDLER, KENNETH SEEDMAN · 1997 to 2005
$3.4M
Research Education in Statistical Genetics of Substance AbuseR25DA026119 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI NEALE, MICHAEL CHURTON · 2008 to 2018
$3.2M
Pathways to Alcohol Use Disorders in ALSPAC: A Genetic-Developmental StudyR01AA018333 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI DICK, DANIELLE M, KENDLER, KENNETH SEEDMAN · 2010 to 2014
$2.8M
Psychometric and Genetic Assessments of Substance UseR01DA018673 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI NEALE, MICHAEL CHURTON · 2004 to 2019
$2.3M
Project 3: Cross Species Characterization of Gene Networks in Acute ResponsesP20AA017828 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI KENDLER, KENNETH SEEDMAN, MILES, MICHAEL F · 2009 to 2012
$2.2M
NIAAA NIH HHS AA011408NIAAA NIH HHS AA017828NIAAA NIH HHS AA018333NIAAA NIH HHS P20 AA017828NIAAA NIH HHS R01 AA011408NIAAA NIH HHS R01 AA018333NIAAA NIH HHS R37 AA011408NIDA NIH HHS DA018673NIDA NIH HHS DA026119NIDA NIH HHS R01 DA018673NIDA NIH HHS R25 DA026119NIDA NIH HHS R37 DA018673
6 · The paper itself

Abstract

backgroundTo clarify the role of genetic and environmental risk factors in alcohol use disorders (AUDs), we performed a meta-analysis of twin and adoption studies and explored the impact of sex, assessment method (interview v. hospital/population records), and study design (twin v. adoption study) on heritability estimates.

methodThe literature was searched for all unique twin and adoption studies of AUD and identified 12 twin and five adoption studies. The data were then reconstructed and analyzed using ordinal data full information maximum likelihood in the OpenMx program. Heterogeneity was tested with likelihood ratio tests by equating the parameters across studies.

resultsThere was no evidence for heterogeneity by study design, sex or assessment method. The best-fit estimate of the heritability of AUD was 0.49 [95% confidence interval (CI) 0.43-0.53], and the proportion of shared environmental variance was 0.10 (95% CI 0.03-0.16). Estimates of unique environmental proportions of variance differed significantly across studies.

conclusionsAUD is approximately 50% heritable. The multiple genetically informative studies of this syndrome have produced consistent results that support the validity of this heritability estimate, especially given the different potential methodological weaknesses of twin and adoption designs, and of assessments of AUD based on personal interviews v. official records. We also found evidence for modest shared environmental effects suggesting that environmental factors also contribute to the familial aggregation of AUDs.

Indexed as

AdoptionAlcoholismAlcohol-Related DisordersEnvironmentFemaleGenetic Predisposition to DiseaseHumansMaleSex FactorsSocial EnvironmentTwins, DizygoticTwins, Monozygotictwin study

Identifiers

PMID25171596
PMCPMC4345133

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.