Cited by 190Smoking Behavior and CessationGenetic Associations and EpidemiologyNicotinic Acetylcholine Receptors Study

Nicotinic Receptor Gene Variants Influence Susceptibility to Heavy Smoking

Open access
Stevens, Victoria L., Bierut, Laura J., Talbot, Jeffrey T., Wang, Jen C., Sun, Juzhong, Hinrichs, Anthony L., Thun, Michael J., Goate, Alison +1 more·2008·Cancer Epidemiology, Biomarkers & Prevention

Abstract

Heavy smoking is a strong predictor of nicotine dependence, which is a major impediment to smoking cessation. Although both heavy smoking and nicotine dependence are highly heritable, previous attempts to identify genes influencing these phenotypes have been largely unsuccessful until very recently. We studied 1,452 heavy smokers (defined as smoking at least 30 cigarettes per day for at least 5 years) and 1,395 light smokers (defined as smoking <5 cigarettes per day for at least 1 year) to investigate the association of common variants in nicotinic receptor subunit genes with smoking behavior. Compared with the most common allele, two separate groups of single nucleotide polymorphisms (SNP) in the CHRNA5-CHRNA3-CHRNB4 gene cluster were associated with heavy smoking with a very high statistical significance. One group of eight SNPs, which included a nonsynonymous SNP in the CHRNA5 gene, was in strong linkage disequilibrium and associated with increased risk of heavy smoking. A second group of SNPs not strongly correlated with the first was associated with decreased risk of heavy smoking. Analyses that combined both groups of SNPs found associations with heavy smoking that varied by >2-fold. Our findings identify two loci in the CHRNA5-CHRNA3-CHRNB4 gene cluster that predict smoking behavior and provide strong evidence for the involvement of the α5 nicotinic receptor in heavy smoking. (Cancer Epidemiol Biomarkers Prev 2008;17(12):3517–25)

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1158/1055-9965.epi-08-0585

Cites

31 of 31 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Stevens, V. L., Bierut, L. J., Talbot, J. T., Wang, J. C., Sun, J., Hinrichs, A. L., Thun, M. J., Goate, A., & Calle, E. E.
Affiliations
  • American Cancer Society (US)
  • Washington University in St. Louis (US)
Corresponding author
Stevens, Victoria L.
Venue
Cancer Epidemiology, Biomarkers & Prevention
Published
2008-12-01
Volume
17
Issue
12
Pages
3517-3525
ISSN
  • 1055-9965 (ISSN-L)
  • 1538-7755
OpenAlex
W2134072500
Cited by
190
References
31
Citations by year
2025: 1 · 2024: 7 · 2023: 8 · 2022: 6 · 2021: 6 · 2020: 10 · 2019: 3 · 2018: 6 · 2017: 4 · 2016: 11 · 2015: 11 · 2014: 8 · 2013: 19 · 2012: 28
FWCI
13.77
Type
journal article
Language
en
Open access
Locations
  • Cancer Epidemiology Biomarkers & Prevention (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • Alvin J. Siteman Cancer Center
  • National Cancer Institute (CA089392, P01CA089392)
Topics
  • Health Sciences › Medicine › Physiology › Smoking Behavior and Cessation
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Nicotinic Acetylcholine Receptors Study
Keywords
heavy smoking, nicotine dependence, nicotinic acetylcholine receptors, CHRNA5, CHRNA3, CHRNB4, single nucleotide polymorphisms, genetic susceptibility, linkage disequilibrium, non-synonymous mutations, smoking behavior
MeSH terms
Aged, Alleles, Female, Genotype, Humans, Male, Middle Aged, Nerve Tissue Proteins, Phenotype, Prospective Studies, Surveys and Questionnaires, Receptors, Nicotinic, Risk Factors, Tobacco Use Disorder, Genetic Variation, Linkage Disequilibrium, Chi-Square Distribution, Logistic Models, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review