Evidence map›Paper›PMID 31930296›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2020

The Role of A Priori-Identified Addiction and Smoking Gene Sets in Smoking Behaviors.

Luke M Evans, Emma C Johnson, Whitney E Melroy-Greif, John K Hewitt, Charles A Hoeffer, Matthew C Keller, Laura M Saba, Jerry A Stitzel, Marissa A Ehringer

Open access · greenAbstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

Luke M EvansInstitute for Behavioral Genetics, University of Colorado, Boulder, CO.
Emma C JohnsonDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO.
Whitney E Melroy-GreifInstitute for Behavioral Genetics, University of Colorado, Boulder, CO.
John K HewittInstitute for Behavioral Genetics, University of Colorado, Boulder, CO.
Charles A HoefferInstitute for Behavioral Genetics, University of Colorado, Boulder, CO.
Matthew C KellerInstitute for Behavioral Genetics, University of Colorado, Boulder, CO.
Laura M SabaDepartment of Pharmaceutical Sciences, University of Colorado, Anschutz Medical Campus, Aurora, CO.
Jerry A StitzelInstitute for Behavioral Genetics, University of Colorado, Boulder, CO.
Marissa A EhringerInstitute for Behavioral Genetics, University of Colorado, Boulder, CO.
University of Colorado Boulder · USUniversity of Colorado Anschutz Medical Campus · USWashington University in St. Louis · US

Funding

Research Training-Genetics of Substance AbuseT32DA017637 · NIDA · UNIVERSITY OF COLORADO AT BOULDER · PI STITZEL, JERRY A · 2004 to 2023
$5.3M
Estimating the genetic and environmental architecture of psychiatric disordersR01MH100141 · NIMH · UNIVERSITY OF COLORADO · PI KELLER, MATTHEW CHARLES · 2013 to 2022
$5.3M
Deep Sequencing, Phenotyping, and Imputation in Large-Scale Biobanks: A Novel and Cost-Effective Framework to Identify Rare Mutations Associated with AddictionR01DA044283 · NIDA · UNIVERSITY OF MINNESOTA · PI ALBERT, FRANK WOLFGANG, VRIEZE, SCOTT IAN · 2019 to 2024
$3.2M
Identifying Contributions to the Genetic Correlation Between Alcohol Use Disorders and SchizophreniaF32AA027435 · NIAAA · WASHINGTON UNIVERSITY · PI JOHNSON, EMMA COVEY · 2018 to 2020
$133k
NIAAA NIH HHS F32 AA027435NIDA NIH HHS R01 DA044283NIDA NIH HHS T32 DA017637NIMH NIH HHS R01 MH100141
6 · The paper itself

Abstract

introductionSmoking is a leading cause of death, and genetic variation contributes to smoking behaviors. Identifying genes and sets of genes that contribute to risk for addiction is necessary to prioritize targets for functional characterization and for personalized medicine.

methodsWe performed a gene set-based association and heritable enrichment study of two addiction-related gene sets, those on the Smokescreen Genotyping Array and the nicotinic acetylcholine receptors, using the largest available GWAS summary statistics. We assessed smoking initiation, cigarettes per day, smoking cessation, and age of smoking initiation.

resultsIndividual genes within each gene set were significantly associated with smoking behaviors. Both sets of genes were significantly associated with cigarettes per day, smoking initiation, and smoking cessation. Age of initiation was only associated with the Smokescreen gene set. Although both sets of genes were enriched for trait heritability, each accounts for only a small proportion of the single nucleotide polymorphism-based heritability (2%-12%).

conclusionsThese two gene sets are associated with smoking behaviors, but collectively account for a limited amount of the genetic and phenotypic variation of these complex traits, consistent with high polygenicity. IMPLICATIONS: We evaluated evidence for the association and heritable contribution of expert-curated and bioinformatically identified sets of genes related to smoking. Although they impact smoking behaviors, these specifically targeted genes do not account for much of the heritability in smoking and will be of limited use for predictive purposes. Advanced genome-wide approaches and integration of other 'omics data will be needed to fully account for the genetic variation in smoking phenotypes.

Indexed as

Genetic MarkersGenome-Wide Association StudyPolymorphism, Single NucleotideAge of OnsetBehavior, AddictiveColoradoHumansPhenotypeReceptors, NicotinicSmokingGenetic MarkersReceptors, Nicotinic

Identifiers

PMID31930296
PMCPMC7749195
OpenAlexW2999617111

What OpenQuestion holds

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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.