Evidence map›Paper›PMID 23422394›Full record

SynthesisJournal of clinical psychopharmacology2013

Genetic analysis of a population heavy drinking phenotype identifies risk variants in whites.

Ajna Hamidovic, Robert J Goodloe, Taylor R Young, Mindi A Styn, Kenneth J Mukamal, Helene Choquet, Jay L Kasberger, Sarah G Buxbaum, George J Papanicolaou, Wendy White and 5 more

Abstract readMeta-AnalysisValidation Study
In one paragraph

Synthesis in Journal of clinical psychopharmacology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 87% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

15 authors at 11 institutions in 1 country.

Ajna HamidovicPreventive Medicine, Northwestern University, Chicago, IL 60611-4402, USA. a-hamidovic@northwestern.edu
Robert J Goodloe
Taylor R Young
Mindi A Styn
Kenneth J Mukamal
Helene Choquet
Jay L Kasberger
Sarah G Buxbaum
George J Papanicolaou
Wendy White
Kelly Volcik
Bonnie Spring
Brian Hitsman
Daniel Levy
Eric Jorgenson
National Heart Lung and Blood Institute · USNorthwestern University · USSRI International · USBeth Israel Deaconess Medical Center · USCenter for Human Genetics · USErnest Gallo Clinic and Research Center · USJackson State University · USTougaloo College · USUniversity of California, San Francisco · USUniversity of Pittsburgh · USVanderbilt University Medical Center · US

Funding

Framingham Project/LevyZIAHL006001 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI LEVY, DANIEL · 2009 to 2025
$51.1M
CTSA: K12 COMPONENTKL2RR024130 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSTON, S. CLAIBORNE · 2006 to 2011
$19.3M
Understanding Obesity In Relation to the Built EnvironmentP20MD006899 · NIMHD · JACKSON STATE UNIVERSITY · PI ANTOINE-LAVIGNE, DONNA A · 2012 to 2016
$5.3M
BLOOD COAGULATION &FIBRINOLYSISR01HL065226 · NHLBI · SCRIPPS RESEARCH INSTITUTE · PI MACKMAN, NIGEL · 2000 to 2004
$1.8M
Framingham Project/LevyZ01HL006001 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI LEVY, DANIEL · 2008 to 2008
$1.1M
Genome-wide Association Study of Alcohol ConsumptionR21AA021223 · NIAAA · KAISER FOUNDATION RESEARCH INSTITUTE · PI JORGENSON, ERIC, MERTENS, JENNIFER RENE · 2012 to 2013
$455k
Genetic Variation in Amphetamine ResponseF32DA024920 · NIDA · UNIVERSITY OF CHICAGO · PI HAMIDOVIC, AJNA · 2008 to 2009
$124k
Intramural NIH HHS Z01 HL006001Intramural NIH HHS Z99 HL999999Intramural NIH HHS ZIA HL006001NCRR NIH HHS KL2 RR024130NHLBI NIH HHS N01 HC065226NHLBI NIH HHS N01-HC-65226NIAAA NIH HHS R21 AA021223NIAAA NIH HHS R21 AA021223-01NIDA NIH HHS F32 DA024920NIDA NIH HHS F32DA024920NIMHD NIH HHS P20 MD006899PHS HHS HHSN268200960009C
6 · The paper itself

Abstract

Genetic association studies thus far have used detailed diagnoses of alcoholism to identify loci associated with risk. This proof-of-concept analysis examined whether population data of lifetime heaviest alcohol consumption may be used to identify genetic loci that modulate risk. We conducted a genetic association study in European Americans between variants in approximately 2100 genes and alcohol consumption as part of the Candidate gene Association Resource project. We defined cases as individuals with a history of drinking 5 or more drinks per day almost every day of the week and controls as current light drinkers (1-5 drinks per week). We cross-validated identified single nucleotide polymorphisms in a meta-analysis of 2 cohorts of unrelated individuals--Atherosclerosis Risk in Communities (ARIC) and Cardiovascular Health Study (CHS)--and in a separate cohort of related individuals--Framingham Heart Study (FHS). The most significant variant in the meta-analysis of ARIC and CHS was rs6933598 in methylenetetrahydrofolate dehydrogenase (P = 7.46 × 10(-05)) with a P value in FHS of 0.042. The top variants in FHS were rs12249562 in cubulin (P = 3.03 × 10(-05)) and rs9839267 near cholecystokinin (P = 3.05 × 10(-05)) with a P value of 0.019 for rs9839267 in CHS. We have here shown feasibility in evaluating lifetime incidence of heavy alcohol drinking from population-based studies for the purpose of conducting genetic association analyses.

Indexed as

AgedAlcohol DrinkingAlcoholismCase-Control StudiesFeasibility StudiesGenetic Association StudiesGenetic LociGenetic Predisposition to DiseaseGenetic VariationHumansIncidenceMaleMiddle AgedPhenotypePolymorphism, Single NucleotideRisk

Identifiers

PMID23422394
PMCPMC4339794
OpenAlexW2089901843

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.