Evidence map›Paper›PMID 24727307›Full record

ArticleGenes2014

Polygenic scores predict alcohol problems in an independent sample and show moderation by the environment.

Jessica E Salvatore, Fazil Aliev, Alexis C Edwards, David M Evans, John Macleod, Matthew Hickman, Glyn Lewis, Kenneth S Kendler, Anu Loukola, Tellervo Korhonen and 4 more

Open access · goldAbstract read
In one paragraph

Article in Genes, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 2 pooled it
7.9field-weighted citation impact, top 2% 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

62 citing papers in PubMed, 2 syntheses or guidelines pooled it, 82 citations in OpenAlex.

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  16. The longitudinal buffering effects of resilience on alcohol use outcomes.Psychological trauma : theory, research, practice and policy · 2023
    Article
  17. Article
  18. Article
  19. Predicting Alcohol Dependence Symptoms by Young Adulthood: A Co-Twin Comparisons Study.Twin research and human genetics : the official journal of the International Society for Twin Studies · 2021
    Article
  20. Article

2 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

14 authors at 6 institutions in 4 countries.

Jessica E SalvatoreDepartment of Psychiatry, Virginia Commonwealth University, P.O. Box 980126, Richmond, VA 23298, USA. jesalvatore@vcu.edu.
Fazil AlievDepartment of Psychiatry, Virginia Commonwealth University, P.O. Box 980126, Richmond, VA 23298, USA. faliev@vcu.edu.
Alexis C EdwardsDepartment of Psychiatry, Virginia Commonwealth University, P.O. Box 980126, Richmond, VA 23298, USA. edwards.alexis@gmail.com.
David M EvansSchool of Social and Community Medicine, University of Bristol, Canynge Hall, 39 Whatley Road, Bristol, BS8 2PS, UK. Dave.Evans@bristol.ac.uk.
John MacleodSchool of Social and Community Medicine, University of Bristol, Canynge Hall, 39 Whatley Road, Bristol, BS8 2PS, UK. john.macleod@bristol.ac.uk.
Matthew HickmanSchool of Social and Community Medicine, University of Bristol, Canynge Hall, 39 Whatley Road, Bristol, BS8 2PS, UK. matthew.hickman@bristol.ac.uk.
Glyn LewisDivision of Psychiatry, University College London, 67-73 Riding House St., London W1W 7EJ, UK. glyn.lewis@ucl.ac.uk.
Kenneth S KendlerDepartment of Psychiatry, Virginia Commonwealth University, P.O. Box 980126, Richmond, VA 23298, USA. kendler@vcu.edu.
Anu LoukolaDepartment of Public Health, Hjelt Institute, University of Helsinki, P.O. Box 41, Helsinki FI-00014, Finland. antti.latvala@helsinki.fi.
Tellervo KorhonenDepartment of Public Health, Hjelt Institute, University of Helsinki, P.O. Box 41, Helsinki FI-00014, Finland. tellervo.korhonen@helsinki.fi.
Antti LatvalaDepartment of Public Health, Hjelt Institute, University of Helsinki, P.O. Box 41, Helsinki FI-00014, Finland. antti.latvala@helsinki.fi.
Richard J RoseDepartment of Psychological and Brain Sciences, Indiana University, 1101 East 10th St., Bloomington, IN 47405, USA. rose@indiana.edu.
Jaakko KaprioDepartment of Public Health, Hjelt Institute, University of Helsinki, P.O. Box 41, Helsinki FI-00014, Finland. jaakko.kaprio@helsinki.fi.
Danielle M DickDepartment of Psychiatry, Virginia Commonwealth University, P.O. Box 980126, Richmond, VA 23298, USA. ddick@vcu.edu.
Virginia Commonwealth University · USUniversity of Helsinki · FIUniversity of Bristol · GBIndiana University Bloomington · USTranslational Research Institute · AUUniversity College London · GB

Funding

The development of alcohol misuse and related problems from adolescence to early midlifeR01AA015416 · NIAAA · WASHINGTON UNIVERSITY · PI DICK, DANIELLE M, SALVATORE, JESSICA E · 2005 to 2024
$7.6M
Research Training: Psychiatric &Statistical GeneticsT32MH020030 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI HERMINE H MAES, MICHAEL CHURTON NEALE · 1999 to 2026
$6.7M
ADOLESCENT ALCOHOL ABUSE: A TWIN-STUDY PERSPECTIVER37AA012502 · NIAAA · TRUSTEES OF INDIANA UNIVERSITY · PI ROSE, RICHARD JOSEPH · 2000 to 2009
$2.9M
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
Twin, molecular, and developmental approaches to understanding alcohol misuseK02AA018755 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI DICK, DANIELLE M · 2010 to 2019
$1.3M
Adolescent Alcohol Abuse: A Twin-Study PerspectiveR01AA012502 · NIAAA · TRUSTEES OF INDIANA UNIVERSITY · PI ROSE, RICHARD JOSEPH · 2013 to 2017
$1.2M
Genetic influences on developmental heterogeneity of alcohol use disorderK01AA021399 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI EDWARDS, ALEXIS C · 2012 to 2016
$707k
Genetically-informed designs of externalizing behavior and romantic relationshipsF32AA022269 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI SALVATORE, JESSICA E · 2013 to 2014
$113k
BEHAVIORAL PRECURSORS OF ALCOHOLISM--TWIN FAMILY STUDIESR01AA009203 · NIAAA · INDIANA UNIVERSITY BLOOMINGTON · PI ROSE, RICHARD JOSEPH · 1994 to 1998
–
USE &ABUSE OF ALCOHOL--A BEHAVIOR-GENETICS PERSPECTIVEK05AA000145 · NIAAA · INDIANA UNIVERSITY BLOOMINGTON · PI ROSE, RICHARD JOSEPH · 1992 to 1996
–
Medical Research Council G0800612Medical Research Council G0802736Medical Research Council G9815508Medical Research Council MC_PC_15018Medical Research Council MC_UU_12013/4Medical Research Council MR/K023233/1NIAAA NIH HHS F32 AA022269NIAAA NIH HHS K01 AA021399NIAAA NIH HHS K02 AA018755NIAAA NIH HHS K05 AA000145NIAAA NIH HHS R01 AA009203NIAAA NIH HHS R01 AA012502NIAAA NIH HHS R01 AA015416NIAAA NIH HHS R01 AA018333NIAAA NIH HHS R37 AA012502NIMH NIH HHS T32 MH020030Wellcome Trust 102215
6 · The paper itself

Abstract

Alcohol problems represent a classic example of a complex behavioral outcome that is likely influenced by many genes of small effect. A polygenic approach, which examines aggregate measured genetic effects, can have predictive power in cases where individual genes or genetic variants do not. In the current study, we first tested whether polygenic risk for alcohol problems-derived from genome-wide association estimates of an alcohol problems factor score from the age 18 assessment of the Avon Longitudinal Study of Parents and Children (ALSPAC; n = 4304 individuals of European descent; 57% female)-predicted alcohol problems earlier in development (age 14) in an independent sample (FinnTwin12; n = 1162; 53% female). We then tested whether environmental factors (parental knowledge and peer deviance) moderated polygenic risk to predict alcohol problems in the FinnTwin12 sample. We found evidence for both polygenic association and for additive polygene-environment interaction. Higher polygenic scores predicted a greater number of alcohol problems (range of Pearson partial correlations 0.07-0.08, all p-values ≤ 0.01). Moreover, genetic influences were significantly more pronounced under conditions of low parental knowledge or high peer deviance (unstandardized regression coefficients (b), p-values (p), and percent of variance (R2) accounted for by interaction terms: b = 1.54, p = 0.02, R2 = 0.33%; b = 0.94, p = 0.04, R2 = 0.30%, respectively). Supplementary set-based analyses indicated that the individual top single nucleotide polymorphisms (SNPs) contributing to the polygenic scores were not individually enriched for gene-environment interaction. Although the magnitude of the observed effects are small, this study illustrates the usefulness of polygenic approaches for understanding the pathways by which measured genetic predispositions come together with environmental factors to predict complex behavioral outcomes.

Identifiers

PMID24727307
PMCPMC4094936
OpenAlexW2138178859

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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.