Evidence map›Paper›PMID 23743675›Full record

SynthesisHuman genetics2013

A meta-analysis of two genome-wide association studies to identify novel loci for maximum number of alcoholic drinks.

Manav Kapoor, Jen-Chyong Wang, Leah Wetherill, Nhung Le, Sarah Bertelsen, Anthony L Hinrichs, John Budde, Arpana Agrawal, Kathleen Bucholz, Danielle Dick and 13 more

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Human genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

57 citing papers in PubMed, 2 syntheses or guidelines pooled it, 99 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Flying Together:International journal of molecular sciences · 2020
    Review
  15. Recent advances in genetic studies of alcohol use disorders.Current genetic medicine reports · 2020
    Article
  16. Article
  17. Article
  18. Article
  19. A decade in psychiatric GWAS research.Molecular psychiatry · 2019
    Review
  20. Review
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

23 authors at 9 institutions in 1 country.

Manav KapoorDepartment of Psychiatry, B8134, Washington University School of Medicine, 660 S. Euclid Ave., St. Louis, MO, 63110, USA.
Jen-Chyong Wang
Leah Wetherill
Nhung Le
Sarah Bertelsen
Anthony L Hinrichs
John Budde
Arpana Agrawal
Kathleen Bucholz
Danielle Dick
Oscar Harari
Victor Hesselbrock
John Kramer
John I Nurnberger
John Rice
Nancy Saccone
Marc Schuckit
Jay Tischfield
Bernice Porjesz
Howard J Edenberg
Laura Bierut
Tatiana Foroud
Alison Goate
Washington University in St. Louis · USIndiana University – Purdue University Indianapolis · USIndiana University School of MedicineRutgers, The State University of New Jersey · USSUNY Downstate Health Sciences University · USUConn Health · USUniversity of California, San Diego · USUniversity of Iowa · USVirginia Commonwealth University · US

Funding

Subject CollectionU10AA008401 · NIAAA · SUNY DOWNSTATE MEDICAL CENTER · PI JAY Arnold TISCHFIELD · 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
The Collaborative Genetic Study of Nicotine DependenceP01CA089392 · NCI · WASHINGTON UNIVERSITY · PI BIERUT, LAURA J. · 2001 to 2012
$17.3M
Genome Wide Association Coordinating CenterU01HG004446 · NHGRI · UNIVERSITY OF WASHINGTON · PI WEIR, BRUCE S. · 2007 to 2011
$6.6M
RESEARCH EDUCATION PROGRAM ON COMPUTATIONAL AND STATISTICAL TOOL DEVELOPMENT FOR ADDICTION GENETICSR25DA027995 · NIDA · WASHINGTON UNIVERSITY · PI MADDEN, PAMELA ANN, RICE, JOHN P. · 2009 to 2019
$4.3M
FAMILY STUDY OF COCAINE DEPENDENCER01DA013423 · NIDA · WASHINGTON UNIVERSITY · PI BIERUT, LAURA JEAN · 2000 to 2004
$2.2M
Twin, molecular, and developmental approaches to understanding alcohol misuseK02AA018755 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI DICK, DANIELLE M · 2010 to 2019
$1.3M
Case Control Candidate Gene Study of AddictionR01DA019963 · NIDA · WASHINGTON UNIVERSITY · PI BIERUT, LAURA J. · 2007 to 2009
$1.2M
Study of Addiction: Genetics and EnvironmentU01HG004422 · NHGRI · WASHINGTON UNIVERSITY · PI BIERUT, LAURA J. · 2007 to 2010
$1.2M
NCI NIH HHS P01 CA089392NHGRI NIH HHS U01 HG004422NHGRI NIH HHS U01 HG004438NHGRI NIH HHS U01HG004438NHGRI NIH HHS U01 HG004446NIAAA NIH HHS K02 AA018755NIAAA NIH HHS U10 AA008401NIAAA NIH HHS U10AA008401NIDA NIH HHS R01 DA013423NIDA NIH HHS R01 DA019963NIDA NIH HHS R25 DA027995
6 · The paper itself

Abstract

Maximum number of alcoholic drinks consumed in a 24-h period (maxdrinks) is a heritable (>50 %) trait and is strongly correlated with vulnerability to excessive alcohol consumption and subsequent alcohol dependence (AD). Several genome-wide association studies (GWAS) have studied alcohol dependence, but few have concentrated on excessive alcohol consumption. We performed two GWAS using maxdrinks as an excessive alcohol consumption phenotype: one in 118 extended families (N = 2,322) selected from the Collaborative Study on the Genetics of Alcoholism (COGA), and the other in a case-control sample (N = 2,593) derived from the Study of Addiction: Genes and Environment (SAGE). The strongest association in the COGA families was detected with rs9523562 (p = 2.1 × 10(-6)) located in an intergenic region on chromosome 13q31.1; the strongest association in the SAGE dataset was with rs67666182 (p = 7.1 × 10(-7)), located in an intergenic region on chromosome 8. We also performed a meta-analysis with these two GWAS and demonstrated evidence of association in both datasets for the LMO1 (p = 7.2 × 10(-7)) and PLCL1 genes (p = 4.1 × 10(-6)) with maxdrinks. A variant in AUTS2 and variants in INADL, C15orf32 and HIP1 that were associated with measures of alcohol consumption in a meta-analysis of GWAS studies and a GWAS of alcohol consumption factor score also showed nominal association in the current meta-analysis. The present study has identified several loci that warrant further examination in independent samples. Among the top SNPs in each of the dataset (p ≤ 10(-4)) far more showed the same direction of effect in the other dataset than would be expected by chance (p = 2 × 10(-3), 3 × 10(-6)), suggesting that there are true signals among these top SNPs, even though no SNP reached genome-wide levels of significance.

Indexed as

Genetic LociGenome, HumanGenome-Wide Association StudyAdultAlcohol DrinkingAlcoholismChromosomes, Human, Pair 13DNA-Binding ProteinsFemaleGene-Environment InteractionGenetic Predisposition to DiseaseGenetics, PopulationHumansLIM Domain ProteinsMaleMiddle AgedDNA-Binding ProteinsLIM Domain ProteinsLMO1 protein, humanPhosphoinositide Phospholipase Cphospholipase C epsilonTranscription Factors

Identifiers

PMID23743675
PMCPMC3776011
OpenAlexW2070045220

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.