Evidence map›Paper›PMID 22301922›Full record

ReviewThe American journal of clinical nutrition2012

Measuring alcohol consumption for genomic meta-analyses of alcohol intake: opportunities and challenges.

Arpana Agrawal, Neal D Freedman, Yu-Ching Cheng, Peng Lin, John R Shaffer, Qi Sun, Kira Taylor, Brian Yaspan, John W Cole, Marilyn C Cornelis and 29 more

Abstract readReview
In one paragraph

Review in The American journal of clinical nutrition, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 4 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

21 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Genome-Wide Meta-Analysis of Longitudinal Alcohol Consumption Across Youth and Early Adulthood.Twin research and human genetics : the official journal of the International Society for Twin Studies · 2015
    Pooled it
  2. Pooled it
  3. Project INTEGRATE: An integrative study of brief alcohol interventions for college students.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2015
    Pooled it
  4. Pooled it
  5. Trial
  6. Trial
  7. Article
  8. Article
  9. Observational
  10. Article
  11. Article
  12. GABAPsychopharmacology · 2018
    Review
  13. Review
  14. Review
  15. Article
  16. Candidate gene-environment interaction research: reflections and recommendations.Perspectives on psychological science : a journal of the Association for Psychological Science · 2015
    Review
  17. Article
  18. Novel QTL at chromosome 6p22 for alcohol consumption: Implications for the genetic liability of alcohol use disorders.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2014
    Article
  19. Article
  20. Genes, environments, and developmental research: methods for a multi-site study of early substance abuse.Twin research and human genetics : the official journal of the International Society for Twin Studies · 2013
    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

39 authors.

Arpana AgrawalDepartment of Psychiatry, Washington University School of Medicine, St Louis, MO 63110, USA. arpana@wustl.edu
Neal D Freedman
Yu-Ching Cheng
Peng Lin
John R Shaffer
Qi Sun
Kira Taylor
Brian Yaspan
John W Cole
Marilyn C Cornelis
Rebecca S DeSensi
Annette Fitzpatrick
Gerardo Heiss
Jae H Kang
Jeffrey O'Connell
Siiri Bennett
Ebony Bookman
Kathleen K Bucholz
Neil Caporaso
Richard Crout
Danielle M Dick
Howard J Edenberg
Alison Goate
Victor Hesselbrock
Steven Kittner
John Kramer
John I Nurnberger
Lu Qi
John P Rice
Marc Schuckit
Rob M van Dam
Eric Boerwinkle
Frank Hu
Steven Levy
Mary Marazita
Braxton D Mitchell
Louis R Pasquale
Laura J Bierut
GENEVA Consortium

Funding

Subject CollectionU10AA008401 · NIAAA · SUNY DOWNSTATE MEDICAL CENTER · PI JESSICA E SALVATORE · 1989 to 2026
$162.7M
Psychosocial Influences on Rural Children's Oral HealthR01DE014899 · NIDCR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FOXMAN, BETSY, MARAZITA, MARY L. · 2002 to 2020
$39.9M
Transgenic CoreP30DK046200 · NIDDK · TUFTS MEDICAL CENTER · PI GREENBERG, ANDREW S, PERISSI, VALENTINA · 1992 to 2021
$25.0M
JH/CIDR Genotyping for Genome-Wide Association StudiesU01HG004438 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID · 2007 to 2011
$24.2M
A Center for GEI Association StudiesU01HG004424 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GABRIEL, STACEY · 2007 to 2010
$21.4M
The Collaborative Genetic Study of Nicotine DependenceP01CA089392 · NCI · WASHINGTON UNIVERSITY · PI RICE, JOHN P · 2001 to 2012
$17.3M
Fluoride & Other Factors in Childhood and Adolescent Bone DevelopmentR01DE012101 · NIDCR · UNIVERSITY OF IOWA · PI LEVY, STEVEN M. · 1998 to 2013
$11.9M
The NINDS International Stroke Genetics Consortium StudyU01NS069208 · NINDS · UNIVERSITY OF MARYLAND BALTIMORE · PI HOWARD, GEORGE, KITTNER, STEVEN J · 2010 to 2013
$9.4M
Gene-Environment Interactions in GlaucomaR01EY015473 · NEI · MASSACHUSETTS EYE AND EAR INFIRMARY · PI PASQUALE, LOUIS ROBERT · 2005 to 2021
$8.3M
RESEARCH TRAINING IN THE EPIDEMIOLOGY OF AGINGT32AG000262 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI ANN L GRUBER-BALDINI, DENISE L ORWIG · 1998 to 2026
$8.2M
Genome Wide Association Coordinating CenterU01HG004446 · NHGRI · UNIVERSITY OF WASHINGTON · PI WEIR, BRUCE S. · 2007 to 2011
$6.6M
Genetic Markers of CHD in Type 2 DiabetesR01HL071981 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI QI, LU · 2003 to 2012
$4.9M
CIHRNCI NIH HHS P01 CA089392NEI NIH HHS R01EY015473NHGRI NIH HHS HHSN268200782096CNHGRI NIH HHS U01 HG004399NHGRI NIH HHS U01HG004399NHGRI NIH HHS U01 HG004422NHGRI NIH HHS U01 HG004424NHGRI NIH HHS U01 HG004436NHGRI NIH HHS U01 HG004438NHGRI NIH HHS U01HG004438NHGRI NIH HHS U01 HG004446NHGRI NIH HHS U01-HG004446NHGRI NIH HHS U01HG004446NHGRI NIH HHS U01HG004728NHGRI NIH HHS U01 HG004738NHGRI NIH HHS U01HG04424NHLBI NIH HHS HHSN268201100005CNHLBI NIH HHS HHSN268201100006CNHLBI NIH HHS HHSN268201100007CNHLBI NIH HHS HHSN268201100008CNHLBI NIH HHS HHSN268201100009CNHLBI NIH HHS HHSN268201100010CNHLBI NIH HHS HHSN268201100011CNHLBI NIH HHS HHSN268201100012CNHLBI NIH HHS K99 HL098459NHLBI NIH HHS K99HL098459NHLBI NIH HHS R01 HL071981NHLBI NIH HHS R01 HL71981NIAAA NIH HHS K02 AA018755NIAAA NIH HHS U10 AA008401NIA NIH HHS T32 AG000262NIDA NIH HHS DA23668NIDA NIH HHS K02 DA021237NIDA NIH HHS K02DA21237NIDA NIH HHS R01 DA013423NIDA NIH HHS R01 DA023668NIDCR NIH HHS 1-U01-DE018903NIDCR NIH HHS R01 DE009551NIDCR NIH HHS R01 DE012101NIDCR NIH HHS R01 DE014899NIDCR NIH HHS R01-DE 014899NIDCR NIH HHS R01-DE09551NIDCR NIH HHS R01-DE12101NIDCR NIH HHS R56 DE012101NIDCR NIH HHS U01 DE018903NIDCR NIH HHS U01-DE018903NIDDK NIH HHS DK46200NIDDK NIH HHS P30 DK046200NINDS NIH HHS R01 NS045012NINDS NIH HHS R01 NS45012NINDS NIH HHS U01 NS069208-01
6 · The paper itself

Abstract

Whereas moderate drinking may have health benefits, excessive alcohol consumption causes many important acute and chronic diseases and is the third leading contributor to preventable death in the United States. Twin studies suggest that alcohol-consumption patterns are heritable (50%); however, multiple genetic variants of modest effect size are likely to contribute to this heritable variation. Genome-wide association studies provide a tool for discovering genetic loci that contribute to variations in alcohol consumption. Opportunities exist to identify susceptibility loci with modest effect by meta-analyzing together multiple studies. However, existing studies assessed many different aspects of alcohol use, such as typical compared with heavy drinking, and these different assessments can be difficult to reconcile. In addition, many studies lack the ability to distinguish between lifetime and recent abstention or to assess the pattern of drinking during the week, and a variety of such concerns surround the appropriateness of developing a common summary measure of alcohol intake. Combining such measures of alcohol intake can cause heterogeneity and exposure misclassification, cause a reduction in power, and affect the magnitude of genetic association signals. In this review, we discuss the challenges associated with harmonizing alcohol-consumption data from studies with widely different assessment instruments, with a particular focus on large-scale genetic studies.

Indexed as

Alcohol DrinkingAlcoholic BeveragesGenetic LociGenetic VariationGenome, HumanGenome-Wide Association StudyGenotypeHumansMeta-Analysis as TopicQuantitative Trait, Heritable

Identifiers

PMID22301922
PMCPMC3278237

What OpenQuestion holds

Textmetadata
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.