Evidence map›Paper›PMID 20418890›Full record

SynthesisNature genetics2010

Genome-wide meta-analyses identify multiple loci associated with smoking behavior.

Tobacco and Genetics Consortium

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Nature genetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 660 papers, 21 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
660citing papers in PubMed, 21 pooled it
46.6field-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

660 citing papers in PubMed, 21 syntheses or guidelines pooled it, 1,153 citations in OpenAlex.

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  5. The Promise of Polygenic Risk Prediction in Smoking Cessation: Evidence From Two Treatment Trials.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022
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600 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author at 20 institutions in 15 countries.

Tobacco and Genetics ConsortiumDepartment of Genetics, University of North Carolina, Chapel Hill, NC 27710, USA.
University of North Carolina at Chapel Hill · USBroad Institute · USErasmus MC · NLBoston University · USNational Institutes of Health · USBrigham and Women's Hospital · USUniversity of Helsinki · FIHarvard University Press · USLund University · SETufts University · USUniversity of Washington · USVrije Universiteit Amsterdam · NLCedars-Sinai Medical Center · USHarvard University · USMalmö University · SENational Heart Lung and Blood Institute · USNorthShore University HealthSystem · USUniversity of Exeter · GBUniversity of Michigan · USUniversity of Pennsylvania · US

Funding

Targeted Genetic Analysis of T2D and Quantitative TraitsR01DK072193 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN L. MOHLKE · 2005 to 2026
$11.3M
MAPPING OF SUSCEPTIBILITY LOCI FOR NICOTINE DEPENDENCER01DA012844 · NIDA · UNIVERSITY OF VIRGINIA · PI LI, MING D · 1999 to 2013
$10.0M
GENETIC DETERMINANTS OF HYPERTENSIONU01HL054527 · NHLBI · STANFORD UNIVERSITY · PI QUERTERMOUS, THOMAS NONE · 1995 to 2004
$4.6M
Whole Genome Association for Early Coronary Artery Disease and Related PhenotypesR01HL087647 · NHLBI · STANFORD UNIVERSITY · PI QUERTERMOUS, THOMAS · 2006 to 2008
$4.6M
STATISTICAL METHODS IN CURRENT CANCER RESEARCHR01CA082659 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LIN, DANYU · 2000 to 2016
$3.7M
The Genetic Epidemiology of Nicotine DependenceK07CA118412 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FURBERG-BARNES, ANNA HELENA · 2006 to 2010
$629k
NCI NIH HHS K07 CA118412NCI NIH HHS R01 CA082659NIDA NIH HHS R01 DA012844NIDDK NIH HHS R01 DK072193
6 · The paper itself

Abstract

Consistent but indirect evidence has implicated genetic factors in smoking behavior. We report meta-analyses of several smoking phenotypes within cohorts of the Tobacco and Genetics Consortium (n = 74,053). We also partnered with the European Network of Genetic and Genomic Epidemiology (ENGAGE) and Oxford-GlaxoSmithKline (Ox-GSK) consortia to follow up the 15 most significant regions (n > 140,000). We identified three loci associated with number of cigarettes smoked per day. The strongest association was a synonymous 15q25 SNP in the nicotinic receptor gene CHRNA3 (rs1051730[A], beta = 1.03, standard error (s.e.) = 0.053, P = 2.8 x 10(-73)). Two 10q25 SNPs (rs1329650[G], beta = 0.367, s.e. = 0.059, P = 5.7 x 10(-10); and rs1028936[A], beta = 0.446, s.e. = 0.074, P = 1.3 x 10(-9)) and one 9q13 SNP in EGLN2 (rs3733829[G], beta = 0.333, s.e. = 0.058, P = 1.0 x 10(-8)) also exceeded genome-wide significance for cigarettes per day. For smoking initiation, eight SNPs exceeded genome-wide significance, with the strongest association at a nonsynonymous SNP in BDNF on chromosome 11 (rs6265[C], odds ratio (OR) = 1.06, 95% confidence interval (Cl) 1.04-1.08, P = 1.8 x 10(-8)). One SNP located near DBH on chromosome 9 (rs3025343[G], OR = 1.12, 95% Cl 1.08-1.18, P = 3.6 x 10(-8)) was significantly associated with smoking cessation.

Indexed as

Genome-Wide Association StudyPolymorphism, Single NucleotideAge FactorsAllelesChromosome MappingFemaleGenomeGenotypeHumansMaleMolecular EpidemiologyOdds RatioPhenotypeReceptors, NicotinicSmokingReceptors, Nicotinic

Identifiers

PMID20418890
PMCPMC2914600
OpenAlexW2110846909

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.