Evidence map›Paper›PMID 33620764›Full record

ArticleAddiction (Abingdon, England)2021

Genetic architecture of four smoking behaviors using partitioned SNP heritability.

Luke M Evans, Seonkyeong Jang, Dana B Hancock, Marissa A Ehringer, Jacqueline M Otto, Scott I Vrieze, Matthew C Keller

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
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  7. Review
  8. Testing Association of Previously Implicated Gene Sets and Gene-Networks in Nicotine Exposed Mouse Models with Human Smoking Phenotypes.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
    Article
  9. Review
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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

7 authors.

Luke M EvansInstitute for Behavioral Genetics, University of Colorado, Boulder, CO, USA.ORCID 0000-0002-7458-1720
Seonkyeong JangDepartment of Psychology, University of Minnesota, Minneapolis, MN, USA.
Dana B HancockGenOmics, Bioinformatics, and Translational Research Center, RTI International, Research Triangle Park, NC, USA.
Marissa A EhringerInstitute for Behavioral Genetics, University of Colorado, Boulder, CO, USA.
Jacqueline M OttoDepartment of Psychology, University of Minnesota, Minneapolis, MN, USA.
Scott I VriezeDepartment of Psychology, University of Minnesota, Minneapolis, MN, USA.
Matthew C KellerInstitute for Behavioral Genetics, University of Colorado, Boulder, CO, USA.

Funding

Estimating the genetic and environmental architecture of psychiatric disordersR01MH100141 · NIMH · UNIVERSITY OF COLORADO · PI KELLER, MATTHEW CHARLES · 2013 to 2022
$5.3M
Integrating Epigenomics in Human Brain and Genomics of Nicotine DependenceR01DA042090 · NIDA · RESEARCH TRIANGLE INSTITUTE · PI HANCOCK, DANA B · 2016 to 2020
$3.5M
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
Genetic Association Meta-Analyses of Smoking and Drinking for the Sequencing AgeR01DA037904 · NIDA · UNIVERSITY OF MINNESOTA · PI VRIEZE, SCOTT IAN · 2015 to 2019
$2.4M
Method to Enhance the Rare Variant Genetic Architecture Analysis in Meta-AnalysesR01HG008983 · NHGRI · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI LIU, DAJIANG · 2016 to 2019
$1.6M
NHGRI NIH HHS R01 HG 008983NHGRI NIH HHS R01 HG008983NIDA NIH HHS R01 DA 037904NIDA NIH HHS R01 DA037904NIDA NIH HHS R01 DA042090NIDA NIH HHS R01 DA 044283NIDA NIH HHS R01 DA044283NIMH NIH HHS R01 MH100141NIMH NIH HHS R01 MH100141-06
6 · The paper itself

Abstract

BACKGROUND AND

aimsAlthough genome-wide association studies have identified many loci that influence smoking behaviors, much of the genetic variance remains unexplained. We characterized the genetic architecture of four smoking behaviors using single nucleotide polymorphism (SNP) heritability (h

designPartitioned h

settingUK Biobank.

participantsUK Biobank participants of European ancestry. The number of participants varied depending on the trait, from 54 792 to 323 068. MEASUREMENTS: Smoking initiation, age of initiation, cigarettes per day (CPD; count, log-transformed, binned and dichotomized into heavy versus light) and smoking cessation with imputed genome-wide SNPs.

findingsWe estimated that, in aggregate, approximately 18% of the phenotypic variance in smoking initiation was captured by imputed SNPs [h

conclusionA biobank study of smoking behavior traits suggested that the phenotypic variance explained by SNPs of smoking initiation, age of initiation, cigarettes per day and smoking cessation is modest overall.

Indexed as

Genome-Wide Association StudyPolymorphism, Single NucleotideGenetic Predisposition to DiseaseHumansPhenotypeSmokingDominance variancegenetic architectureh2SNPheritabilitynicotinesmoking

Identifiers

PMID33620764
PMCPMC8759147

What OpenQuestion holds

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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.