Evidence map›Paper›PMID 27113016›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2016

Genome-Wide Association of the Laboratory-Based Nicotine Metabolite Ratio in Three Ancestries.

James W Baurley, Christopher K Edlund, Carissa I Pardamean, David V Conti, Ruth Krasnow, Harold S Javitz, Hyman Hops, Gary E Swan, Neal L Benowitz, Andrew W Bergen

Open access · bronzeAbstract readTwin Study
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 pooled it
5.7field-weighted citation impact, top 4% 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

27 citing papers in PubMed, 3 syntheses or guidelines pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Article
  7. Review
  8. Article
  9. The Associations ofInternational journal of environmental research and public health · 2023
    Article
  10. Impact of Genetic Variants in the Nicotine Metabolism Pathway on Nicotine Metabolite Levels in Smokers.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article
  11. CYP2C19 Plays a Major Role in the HepaticDrug metabolism and disposition: the biological fate of chemicals · 2023
    Article
  12. Article
  13. Multiethnic Prediction of Nicotine Biomarkers and Association With Nicotine Dependence.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Common and Rare Variants Genetic Association Analysis of Cigarettes per Day Among Ever-Smokers in Chronic Obstructive Pulmonary Disease Cases and Controls.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2019
    Article
  19. The Value of Biosamples in Smoking Cessation Trials: A Review of Genetic, Metabolomic, and Epigenetic Findings.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2018
    Review
  20. Review
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

10 authors at 5 institutions in 1 country.

James W BaurleyBioRealm, LLC , Culver City , CA.
Christopher K EdlundBioRealm, LLC , Culver City , CA.
Carissa I PardameanBioRealm, LLC , Culver City , CA.
David V ContiBioRealm, LLC , Culver City , CA.
Ruth KrasnowSRI International , Menlo Park , CA.
Harold S JavitzSRI International , Menlo Park , CA.
Hyman HopsOregon Research Institute , Eugene , OR.
Gary E SwanStanford University School of Medicine , Stanford , CA.
Neal L BenowitzUniversity of California, San Francisco School of Medicine , San Francisco , CA.
Andrew W BergenBioRealm, LLC , Culver City , CA.
BioRealm (United States) · USMenlo School · USOregon Research Institute · USStanford University · USUniversity of California, San Francisco · US

Funding

University of Toronto Coordinating Genetics Core & Clinical Trial SiteU01DA020830 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI CONTI, DAVID V · 2005 to 2014
$22.4M
PHARMACOKINETICS &PHARMACODYNAMICS OF NICOTINER01DA002277 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BENOWITZ, NEAL L · 1985 to 2012
$6.3M
PHARMACOKINETICS OF NICOTINE IN TWINSR01DA011170 · NIDA · SRI INTERNATIONAL · PI SWAN, GARY E · 1998 to 2002
$1.5M
DMET Genes, Nicotine Metabolism and Prospective AbstinenceR21DA033813 · NIDA · SRI INTERNATIONAL · PI BERGEN, ANDREW W · 2012 to 2013
$528k
NIDA NIH HHS R01 DA002277NIDA NIH HHS R01 DA011170NIDA NIH HHS R21 DA033813NIDA NIH HHS U01 DA020830
6 · The paper itself

Abstract

introductionMetabolic enzyme variation and other patient and environmental characteristics influence smoking behaviors, treatment success, and risk of related disease. Population-specific variation in metabolic genes contributes to challenges in developing and optimizing pharmacogenetic interventions. We applied a custom genome-wide genotyping array for addiction research (Smokescreen), to three laboratory-based studies of nicotine metabolism with oral or venous administration of labeled nicotine and cotinine, to model nicotine metabolism in multiple populations. The trans-3'-hydroxycotinine/cotinine ratio, the nicotine metabolite ratio (NMR), was the nicotine metabolism measure analyzed.

methodsThree hundred twelve individuals of self-identified European, African, and Asian American ancestry were genotyped and included in ancestry-specific genome-wide association scans (GWAS) and a meta-GWAS analysis of the NMR. We modeled natural-log transformed NMR with covariates: principal components of genetic ancestry, age, sex, body mass index, and smoking status.

resultsAfrican and Asian American NMRs were statistically significantly (P values ≤ 5E-5) lower than European American NMRs. Meta-GWAS analysis identified 36 genome-wide significant variants over a 43 kilobase pair region at CYP2A6 with minimum P = 2.46E-18 at rs12459249, proximal to CYP2A6. Additional minima were located in intron 4 (rs56113850, P = 6.61E-18) and in the CYP2A6-CYP2A7 intergenic region (rs34226463, P = 1.45E-12). Most (34/36) genome-wide significant variants suggested reduced CYP2A6 activity; functional mechanisms were identified and tested in knowledge-bases. Conditional analysis resulted in intergenic variants of possible interest (P values < 5E-5).

conclusionsThis meta-GWAS of the NMR identifies CYP2A6 variants, replicates the top-ranked single nucleotide polymorphism from a recent Finnish meta-GWAS of the NMR, identifies functional mechanisms, and provides pan-continental population biomarkers for nicotine metabolism. IMPLICATIONS: This multiple ancestry meta-GWAS of the laboratory study-based NMR provides novel evidence and replication for genome-wide association of CYP2A6 single nucleotide and insertion-deletion polymorphisms. We identify three regions of genome-wide significance: proximal, intronic, and distal to CYP2A6. We replicate the top-ranking single nucleotide polymorphism from a recent GWAS of the NMR in Finnish smokers, identify a functional mechanism for this intronic variant from in silico analyses of RNA-seq data that is consistent with CYP2A6 expression measured in postmortem lung and liver, and provide additional support for the intergenic region between CYP2A6 and CYP2A7.

Indexed as

AdultAsian PeopleBlack PeopleCytochrome P-450 CYP2A6FemaleGenome-Wide Association StudyHumansMaleMiddle AgedNicotinePolymorphism, Single NucleotideSmokingTobacco Use DisorderWhite PeopleYoung AdultCytochrome P-450 CYP2A6Nicotine

Identifiers

PMID27113016
PMCPMC4978985
OpenAlexW2342765821

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.