Evidence map›Paper›PMID 21314694›Full record

ArticleAlcoholism, clinical and experimental research2011

Genomewide association analysis of symptoms of alcohol dependence in the molecular genetics of schizophrenia (MGS2) control sample.

Kenneth S Kendler, Gursharan Kalsi, Peter A Holmans, Alan R Sanders, Steven H Aggen, Danielle M Dick, Fazil Aliev, Jianxin Shi, Douglas F Levinson, Pablo V Gejman

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Alcoholism, clinical and experimental research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 1 pooled it
11.0field-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

82 citing papers in PubMed, 1 synthesis or guideline pooled it, 122 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. KCurrent neuropharmacology · 2023
    Review
  6. Review
  7. Review
  8. Flying Together:International journal of molecular sciences · 2020
    Review
  9. Recent advances in genetic studies of alcohol use disorders.Current genetic medicine reports · 2020
    Article
  10. Article
  11. Article
  12. Article
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  14. Article
  15. Review
  16. Article
  17. Review
  18. Review
  19. Genetics of Alcohol Use Disorder: A Role for Induced Pluripotent Stem Cells?Alcoholism, clinical and experimental research · 2018
    Review
  20. Article

22 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

10 authors at 2 institutions in 3 countries.

Kenneth S KendlerVirginia Institute of Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University School of Medicine, Richmond, 23298, USA. kendler@vcu.edu
Gursharan Kalsi
Peter A Holmans
Alan R Sanders
Steven H Aggen
Danielle M Dick
Fazil Aliev
Jianxin Shi
Douglas F Levinson
Pablo V Gejman
NorthShore University HealthSystem · USVirginia Commonwealth University · US

Funding

MOLECULAR GENETICS OF SCHIZOPHRENIAR01MH059571 · NIMH · UNIVERSITY OF CHICAGO · PI GEJMAN, PABLO V. · 1999 to 2007
$8.0M
An Alcohol Affected Sib Pair Study of Alcohol DependenceR37AA011408 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI KENDLER, KENNETH SEEDMAN · 2007 to 2016
$6.5M
A Genome-Wide Association Study of SchizophreniaU01MH079469 · NIMH · NORTHSHORE UNIVERSITY HEALTHSYSTEM · PI GEJMAN, PABLO V. · 2007 to 2009
$4.4M
IRISH AFFECTED SIB PAIR STUDY OF ALCOHOL DEPENDENCER01AA011408 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI KENDLER, KENNETH SEEDMAN · 1997 to 2005
$3.4M
MOLECULAR GENETICS OF SCHIZOPHRENIAR01MH060879 · NIMH · WASHINGTON UNIVERSITY · PI CLONINGER, C. ROBERT · 1999 to 2006
$2.7M
Project 3: Cross Species Characterization of Gene Networks in Acute ResponsesP20AA017828 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI MILES, MICHAEL F · 2009 to 2012
$2.2M
MOLECULAR GENETICS OF SCHIZOPHRENIAR01MH059586 · NIMH · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI SILVERMAN, JEREMY M. · 1999 to 2006
$1.9M
MOLECULAR GENETICS OF SCHIZOPHRENIAR01MH061675 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI LEVINSON, DOUGLAS FREDERICK · 1999 to 2007
$1.8M
MOLECULAR GENETICS OF SCHIZOPHRENIAR01MH059587 · NIMH · EMORY UNIVERSITY · PI AMIN, FAROOQ · 1999 to 2006
$1.8M
MOLECULAR GENETICS OF SCHIZOPHRENIAR01MH059565 · NIMH · UNIVERSITY OF COLORADO DENVER · PI FREEDMAN, ROBERT · 1999 to 2006
$1.7M
MOLECULAR GENETICS OF SCHIZOPHRENIAR01MH059588 · NIMH · UNIVERSITY OF QUEENSLAND · PI MOWRY, BRYAN JOHN · 1999 to 2006
$1.4M
MOLECULAR GENETICS OF SCHIZOPHRENIAR01MH060870 · NIMH · UNIVERSITY OF CALIFORNIA IRVINE · PI BYERLEY, WILLIAM · 1999 to 2006
$1.3M
Medical Research Council G0801418NIAAA NIH HHS K02 AA018755NIAAA NIH HHS P20 AA017828NIAAA NIH HHS P20AA017828NIAAA NIH HHS P30 AA019372NIAAA NIH HHS R01 AA011408NIAAA NIH HHS R37 AA011408NIAAA NIH HHS R37AA011408NIMH NIH HHS R01 MH059565NIMH NIH HHS R01 MH059566NIMH NIH HHS R01 MH059571NIMH NIH HHS R01 MH059586NIMH NIH HHS R01 MH059587NIMH NIH HHS R01 MH059588NIMH NIH HHS R01 MH060870NIMH NIH HHS R01 MH060879NIMH NIH HHS R01 MH061675NIMH NIH HHS R01 MH067257NIMH NIH HHS R01 MH081800NIMH NIH HHS R01 MH59565NIMH NIH HHS R01 MH59566NIMH NIH HHS R01 MH59571NIMH NIH HHS R01MH59586NIMH NIH HHS R01 MH59587NIMH NIH HHS R01MH59588NIMH NIH HHS R01 MH60870NIMH NIH HHS R01 MH60879NIMH NIH HHS R01 MH61675NIMH NIH HHS R01 MH67257NIMH NIH HHS R01MH81800NIMH NIH HHS U01 MH079469NIMH NIH HHS U01 MH079470NIMH NIH HHS U01MH79469NIMH NIH HHS U01MH79470
6 · The paper itself

Abstract

backgroundWhile genetic influences on alcohol dependence (AD) are substantial, progress in the identification of individual genetic variants that impact on risk has been difficult.

methodsWe performed a genome-wide association study on 3,169 alcohol consuming subjects from the population-based Molecular Genetics of Schizophrenia (MGS2) control sample. Subjects were asked 7 questions about symptoms of AD which were analyzed by confirmatory factor analysis. Genotyping was performed using the Affymetrix 6.0 array. Three sets of analyses were conducted separately for European American (EA, n = 2,357) and African-American (AA, n = 812) subjects: individual single nucleotide polymorphisms (SNPs), candidate genes and enriched pathways using gene ontology (GO) categories.

resultsThe symptoms of AD formed a highly coherent single factor. No SNP approached genome-wide significance. In the EA sample, the most significant intragenic SNP was in KCNMA1, the human homolog of the slo-1 gene in C. Elegans. Genes with clusters of significant SNPs included AKAP9, phosphatidylinositol glycan anchor biosynthesis, class G (PIGG), and KCNMA1. In the AA sample, the most significant intragenic SNP was CEACAM6 and genes showing empirically significant SNPs included KCNQ5, SLC35B4, and MGLL. In the candidate gene based analyses, the most significant findings were with ADH1C, nuclear factor of kappa light polypeptide gene enhancer in B-cells 1 (NFKB1) and ankyrin repeat and kinase domain containing 1 (ANKK1) in the EA sample, and ADH5, POMC, and CHRM2 in the AA sample. The ALIGATOR program identified a significant excess of associated SNPs within and near genes in a substantial number of GO categories over a range of statistical stringencies in both the EA and AA sample.

conclusionsWhile we cannot be highly confident about any single result from these analyses, a number of findings were suggestive and worthy of follow-up. Although quite large samples will be needed to obtain requisite power, the study of AD symptoms in general population samples is a viable complement to case-control studies in identifying genetic risk variants for AD.

Indexed as

AlcoholismFemaleGenome-Wide Association StudyGenotypeHumansMalePolymorphism, Single NucleotidePopulation SurveillanceRandom AllocationSchizophrenia

Identifiers

PMID21314694
PMCPMC3083473
OpenAlexW1954226798

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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.