Evidence map›Paper›PMID 39792440›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2025

Genome-Wide Association Study of Varenicline-Aided Smoking Cessation.

Kayesha Coley, Qingning Wang, Richard Packer, Catherine John, Erik Abner, Kadri Reis, Estonian Biobank Research Team, Khaled F Bedair, Sundararajan Srinivasan, Sara Paciga and 10 more

Abstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Identifying Key Predictors of Smoking Cessation Success: Text-Based Feature Selection Using a Large Language Model.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
    Article
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

20 authors.

Kayesha ColeyDepartment of Population Health Sciences, University of Leicester, Leicester, UK.ORCID 0000-0003-4951-6799
Qingning WangDepartment of Population Health Sciences, University of Leicester, Leicester, UK.
Richard PackerDepartment of Population Health Sciences, University of Leicester, Leicester, UK.
Catherine JohnDepartment of Population Health Sciences, University of Leicester, Leicester, UK.
Erik AbnerEstonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia.
Kadri ReisEstonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia.
Estonian Biobank Research Team
Khaled F BedairPat Macpherson Centre for Pharmacogenetics and Pharmacogenomics, Division of Population Health and Genomics, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK.
Sundararajan SrinivasanPat Macpherson Centre for Pharmacogenetics and Pharmacogenomics, Division of Population Health and Genomics, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK.
Sara PacigaPfizer Worldwide Research, Development and Medical, Groton, CT, USA.
Craig HydePfizer Worldwide Research, Development and Medical, Groton, CT, USA.
Robert C FreeUniversity Hospitals of Leicester NHS Trust, Leicester, UK.
Nicola F ReeveDepartment of Population Health Sciences, University of Leicester, Leicester, UK.
David J ShepherdDepartment of Population Health Sciences, University of Leicester, Leicester, UK.
Tõnu EskoEstonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia.ORCID 0000-0003-1982-6569
Colin PalmerPat Macpherson Centre for Pharmacogenetics and Pharmacogenomics, Division of Population Health and Genomics, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK.
Ewan PearsonPat Macpherson Centre for Pharmacogenetics and Pharmacogenomics, Division of Population Health and Genomics, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK.
Anders MalarstigDepartment of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.
Martin D TobinDepartment of Population Health Sciences, University of Leicester, Leicester, UK.
Chiara BatiniDepartment of Population Health Sciences, University of Leicester, Leicester, UK.

Funding

Leicester Biomedical Research CentreNational Institute for Health and Care ResearchNIHR Senior InvestigatorUKRI Innovation Fellowship at Health Data Research UK MR/S003762/1Wellcome Trust 225221Wellcome Trust Discovery Award WT225221/Z/22/ZWellcome Trust Investigator Award WT202849/Z/16/Z
6 · The paper itself

Abstract

introductionVarenicline is an α4β2 nicotinic acetylcholine receptor partial agonist with the highest therapeutic efficacy of any pharmacological smoking cessation aid and a 12-month cessation rate of 26%. Genetic variation may be associated with varenicline response, but to date, no genome-wide association studies of varenicline response have been published.

methodsIn this study, we investigated the genetic contribution to varenicline effectiveness using two electronic health record-derived phenotypes. We defined short-term varenicline effectiveness (SVE) and long-term varenicline effectiveness (LVE) by assessing smoking status at 3 and 12 months, respectively, after initiating varenicline treatment. In Stage 1, comprising five European cohort studies, we tested genome-wide associations with SVE (1405 cases, 2074 controls) and LVE (1576 cases, 2555 controls), defining sentinel variants (the most strongly associated variant within 1 Mb) with p-value < 5 × 10-6 to follow up in Stage 2. In Stage 2, we tested association between sentinel variants and comparable smoking cessation endpoints in varenicline randomized controlled trials. We subsequently meta-analyzed Stages 1 and 2.

resultsNo variants reached genome-wide significance in the meta-analysis. In Stage 1, 10 sentinel variants were associated with SVE and five with LVE at a suggestive significance threshold (p-value < 5 × 10-6); none of these sentinels were previously implicated in varenicline-aided smoking cessation or in genetic studies of smoking behavior.

conclusionsWe provide initial insights into the biological underpinnings of varenicline-aided smoking cessation, through implicating genes involved in various processes, including gene expression, cilium assembly, and early-stage development. IMPLICATIONS: Leveraging electronic health records, we undertook the largest genetic study of varenicline-aided smoking cessation to date, and the only such study to test genome-wide associations. We showed distinct genetic variants associated (p-value < 5 × 10-6) with varenicline-aided smoking cessation which implicate diverse cellular functions, including transcriptional regulation, RNA modification, and cilium assembly. These provide insights which, if independently corroborated, will improve understanding of varenicline response. The growing availability of biobank resources with genetic and varenicline response data will provide future opportunities for larger studies using the approach we developed.

Indexed as

Genome-Wide Association StudySmoking CessationSmoking Cessation AgentsVareniclineAdultCohort StudiesFemaleHumansMaleMiddle AgedSmoking Cessation AgentsVarenicline

Identifiers

PMID39792440
PMCPMC12453674

What Socratic holds

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LicenceCC BY
Read underepoch 390

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 Socratic graph.