Polygenic score for cigarette smoking is associated with ever electronic-cigarette use in a college-aged sample.
Megan E Cooke, James S Clifford, Elizabeth K Do, Jodi M Gilman, Hermine H Maes, Roseann E Peterson, Elizabeth C Prom-Wormley, A Eden Evins, Randi M Schuster, Spit for Science Working group
Synthesis in Addiction (Abingdon, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
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2citing papers in PubMed, 1 pooled it
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2 citing papers in PubMed, 1 synthesis or guideline pooled it.
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5 · Who and what money
Authors and funding
10 authors.
Megan E CookeCenter for Addiction Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.ORCID 0000-0001-9405-367X
James S CliffordDepartment of Family Medicine and Population Health, Division of Epidemiology, Virginia Commonwealth University, Richmond, VA, USA.
Elizabeth K DoDepartment of Health Behavior and Policy, Virginia Commonwealth University, Richmond, VA, USA.
Jodi M GilmanCenter for Addiction Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
Hermine H MaesVirginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
Roseann E PetersonVirginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
Elizabeth C Prom-WormleyDepartment of Family Medicine and Population Health, Division of Epidemiology, Virginia Commonwealth University, Richmond, VA, USA.
A Eden EvinsCenter for Addiction Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
Randi M SchusterCenter for Addiction Medicine, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.ORCID 0000-0002-5710-9301
Spit for Science Working group
Funding
Project 4: Using a prospective cohort survey to test population-level predictions generated by Projects 1-3U54DA036105 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI FAGAN, PEBBLES · 2018 to 2022
$20.8M
Project 5 - Genetic architecture of alcohol use disorder using cross-trait genetic correlations and public next-generation sequencing studiesP50AA022537 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI Brien P Riley · 2014 to 2026
$19.6M
CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR031990 · NCRR · VIRGINIA COMMONWEALTH UNIVERSITY · PI CLORE, JOHN N. · 2010 to 2011
$7.7M
An Alcohol Affected Sib Pair Study of Alcohol DependenceR37AA011408 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI KENDLER, KENNETH SEEDMAN · 2007 to 2016
$6.5M
Medical Marijuana, Neurocognition, and Subsequent Substance UseR01DA042043 · NIDA · MASSACHUSETTS GENERAL HOSPITAL · PI GILMAN, JODI · 2017 to 2021
$3.3M
Project 3: Cross Species Characterization of Gene Networks in Acute ResponsesP20AA017828 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI RILEY, BRIEN P · 2009 to 2012
$2.2M
Mentoring in Addiction Treatment ResearchK24DA030443 · NIDA · MASSACHUSETTS GENERAL HOSPITAL · PI EVINS, A EDEN · 2010 to 2020
$2.0M
Developmental Genetic Epidemiology of SmokingR01DA025109 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI MAES, HERMINE H · 2010 to 2014
$1.6M
Twin, molecular, and developmental approaches to understanding alcohol misuseK02AA018755 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI DICK, DANIELLE M · 2010 to 2019
$1.3M
Cognitive Recovery With Cannabis Abstinence Among High School-Aged AdolescentsK23DA042946 · NIDA · MASSACHUSETTS GENERAL HOSPITAL · PI SCHUSTER, RANDI MELISSA · 2017 to 2021
$1.1M
Genetics, Romantic Relationships, and Alcohol Misuse in Emerging AdulthoodK01AA024152 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI SALVATORE, JESSICA E · 2016 to 2020
$741k
Leveraging sources of heterogeneity to delineate the genetic architecture of major depressive disorderK01MH113848 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI PETERSON, ROSEANN ELIZABETH · 2018 to 2020
aimsElectronic cigarette use has escalated rapidly in recent years, particularly among youth. Little is known about the genetic influences on e-cigarette use. This study aimed to determine whether genetic risk for regular use of combustible cigarettes or for number of cigarettes smoked per day confers risk for ever e-cigarette use or frequency of e-cigarette use. DESIGN, SETTING, PARTICIPANTS, AND MEASUREMENTS: We used data from 9541 young adults from the Spit for Science longitudinal cohort study (2011-2019). Polygenic scores (PGS) of regular combustible cigarette use (PGS-RCU) and cigarettes per day (PGS-CPD) were constructed using summary statistics from the two largest available genome-wide association study (GWAS) meta-analysis of European ancestry and East Asian ancestry of combustible cigarette use and used to test whether the PGS of RCU or CPD predicted lifetime e-cigarette use and frequency of past 30-day e-cigarette use in a diverse sample of young adults of African (AFR), Admixed American (AMR), East Asian (EAS), European (EUR), and South Asian (SAS) ancestry.
findingsThe PGS-RCU was associated with lifetime e-cigarette use in the EUR sample (OR = 1.27, 95% CI = 1.19-1.36, P = 7.53 × 10
conclusionsGenetic factors associated with regular combustible cigarette use appear to be associated with ever e-cigarette use in young adults. We did not find evidence for shared genetic factors influencing heaviness of use of combustible cigarettes and current e-cigarette use frequency.
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.
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