Evidence map›Paper›PMID 27134767›Full record

ArticleBrain and behavior2016

Genome-wide time-to-event analysis on smoking progression stages in a family-based study.

Liang He, Janne Pitkäniemi, Kauko Heikkilä, Yi-Ling Chou, Pamela A F Madden, Tellervo Korhonen, Antti-Pekka Sarin, Samuli Ripatti, Jaakko Kaprio, Anu Loukola

Open access · goldAbstract readTwin Study
In one paragraph

Article in Brain and behavior, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. DNA Methylation Is Predictive of Mortality in Current and Former Smokers.American journal of respiratory and critical care medicine · 2020
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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

10 authors at 5 institutions in 3 countries.

Liang HeDepartment of Public Health University of Helsinki Helsinki Finland.
Janne PitkäniemiDepartment of Public Health University of Helsinki Helsinki Finland; Finnish Cancer Registry Institute for Statistical and Epidemiological Cancer Research Helsinki Finland.
Kauko HeikkiläDepartment of Public Health University of Helsinki Helsinki Finland; Institute for Molecular Medicine Finland (FIMM) University of Helsinki Helsinki Finland.
Yi-Ling ChouWashington University School of Medicine Department of Psychiatry St. Louis Missouri.
Pamela A F MaddenWashington University School of Medicine Department of Psychiatry St. Louis Missouri.
Tellervo KorhonenDepartment of Public Health University of Helsinki Helsinki Finland; National Institute for Health and Welfare Helsinki Finland; Institute of Public Health and Clinical Nutrition University of Eastern Finland Kuopio Finland.
Antti-Pekka SarinInstitute for Molecular Medicine Finland (FIMM)University of Helsinki Helsinki Finland; National Institute for Health and Welfare Helsinki Finland.
Samuli RipattiDepartment of Public Health University of Helsinki Helsinki Finland; Institute for Molecular Medicine Finland (FIMM) University of Helsinki Helsinki Finland; Wellcome Trust Sanger Institute Hinxton Cambridge UK.
Jaakko KaprioDepartment of Public Health University of Helsinki Helsinki Finland; Institute for Molecular Medicine Finland (FIMM) University of Helsinki Helsinki Finland; National Institute for Health and Welfare Helsinki Finland.
Anu LoukolaDepartment of Public Health University of Helsinki Helsinki Finland; Institute for Molecular Medicine Finland (FIMM) University of Helsinki Helsinki Finland.
University of Helsinki · FIInstitute for Molecular Medicine Finland · FIWashington University in St. Louis · USFinnish Cancer Registry · FIUniversity of Eastern Finland · FI

Funding

PILOT--GENETIC EPIDEMIOLOGY OF ALCOHOL AND TOBACCO CONSUMPTION IN CHINESE SAMPLEP50AA011998 · NIAAA · WASHINGTON UNIVERSITY · PI SHER, KENNETH JAMES · 1999 to 2008
$12.6M
THE GENETICS OF VULNERABILITY TO NICOTINE ADDICTIONSR01DA012854 · NIDA · WASHINGTON UNIVERSITY · PI MADDEN, PAMELA ANN · 2000 to 2013
$10.4M
Molecular Epidemiology of Alcoholism 3 - EDAC FamiliesR01AA013321 · NIAAA · WASHINGTON UNIVERSITY · PI HEATH, ANDREW C. · 2001 to 2005
$4.3M
Molecular Epidemiology of Alcoholism 2- Big SibshipsR01AA013320 · NIAAA · WASHINGTON UNIVERSITY · PI HEATH, ANDREW C. · 2003 to 2007
$3.1M
Molecular Epidemiology of Alcoholism 1: Candidate GeneR01AA013326 · NIAAA · QUEENSLAND INSTITUTE OF MEDICAL RESEARCH · PI MARTIN, NICHOLAS G · 2001 to 2005
$2.1M
The Genetics of Vulnerability to Nicotine AddictionsR56DA012854 · NIDA · WASHINGTON UNIVERSITY · PI MADDEN, PAMELA ANN · 2007 to 2007
$436k
NIAAA NIH HHS P50 AA011998NIAAA NIH HHS R01 AA013320NIAAA NIH HHS R01 AA013321NIAAA NIH HHS R01 AA013326NIDA NIH HHS R01 DA012854NIDA NIH HHS R56 DA012854Wellcome Trust
6 · The paper itself

Abstract

backgroundVarious pivotal stages in smoking behavior can be identified, including initiation, conversion from experimenting to established use, development of tolerance, and cessation. Previous studies have shown high heritability for age of smoking initiation and cessation; however, time-to-event genome-wide association studies aiming to identify underpinning genes that accelerate or delay these transitions are missing to date.

methodsWe investigated which single nucleotide polymorphisms (SNPs) across the whole genome contribute to the hazard ratio of transition between different stages of smoking behavior by performing time-to-event analyses within a large Finnish twin family cohort (N = 1962), and further conducted mediation analyses of plausible intermediate traits for significant SNPs.

resultsGenome-wide significant signals were detected for three of the four transitions: (1) for smoking cessation on 10p14 (P = 4.47e-08 for rs72779075 flanked by RP11-575N15 and GATA3), (2) for tolerance on 11p13 (P = 1.29e-08 for rs11031684 in RP1-65P5.1), mediated by smoking quantity, and on 9q34.12 (P = 3.81e-08 for rs2304808 in FUBP3), independent of smoking quantity, and (3) for smoking initiation on 19q13.33 (P = 3.37e-08 for rs73050610 flanked by TRPM4 and SLC6A16) in analysis adjusted for first time sensations. Although our top SNPs did not replicate, another SNP in the TRPM4-SLC6A16 gene region showed statistically significant association after region-based multiple testing correction in an independent Australian twin family sample.

conclusionOur results suggest that the functional effect of the TRPM4-SLC6A16 gene region deserves further investigation, and that complex neurotransmitter networks including dopamine and glutamate may play a critical role in smoking initiation. Moreover, comparison of these results implies that genetic contributions to the complex smoking behavioral phenotypes vary among the transitions.

Indexed as

Disease ProgressionGenome-Wide Association StudyAgedAustraliaFemaleFinlandHumansMaleMiddle AgedPedigreePlasma Membrane Neurotransmitter Transport ProteinsPolymorphism, Single NucleotideSmokingTRPM Cation ChannelsPlasma Membrane Neurotransmitter Transport ProteinsSLC6A16 protein, humanTRPM4 protein, humanTRPM Cation ChannelsCessationgenome‐wide association studyinitiationsmoking behaviortime‐to‐event analysis

Identifiers

PMID27134767
PMCPMC4842934
OpenAlexW2337954666

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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.