Evidence map›Paper›PMID 34008017›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2021

Multi-Polygenic Analysis of Nicotine Dependence in Individuals of European Ancestry.

Victoria A Risner, Chelsie E Benca-Bachman, Lauren Bertin, Alicia K Smith, Jaakko Kaprio, John E McGeary, Elissa Chesler, Valerie S Knopik, Naomi P Friedman, Rohan H C Palmer

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

10 authors at 6 institutions in 2 countries.

Victoria A RisnerBehavioral Genetics of Addiction Laboratory, Department of Psychology, Emory University, Atlanta, GA, USA.
Chelsie E Benca-BachmanBehavioral Genetics of Addiction Laboratory, Department of Psychology, Emory University, Atlanta, GA, USA.
Lauren BertinBehavioral Genetics of Addiction Laboratory, Department of Psychology, Emory University, Atlanta, GA, USA.
Alicia K SmithSmith Lab, Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA, USA.
Jaakko KaprioInstitute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland.
John E McGearyDepartment of Psychiatry & Human Behavior, Brown University, Providence, RI, USA.
Elissa CheslerThe Jackson Laboratory, Bar Harbor, ME, USA.
Valerie S KnopikDepartment of Human Development and Family Studies, College of Health and Human Sciences, Purdue University, West Lafayette, IN, USA.
Naomi P FriedmanDepartment of Psychology, University of Colorado at Boulder, Boulder, CO, USA.
Rohan H C PalmerBehavioral Genetics of Addiction Laboratory, Department of Psychology, Emory University, Atlanta, GA, USA.ORCID 0000-0002-6809-9962
Emory University · USBrown University · USJackson Laboratory · USPurdue University West Lafayette · USUniversity of Colorado Boulder · USUniversity of Helsinki · FI

Funding

Wave IV Data CollectionP01HD031921 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HARRIS, KATHLEEN MULLAN · 1994 to 2020
$86.1M
National Longitudinal Study of Adolescent to Adult Health (Add Health): Wave VII Core ProjectU01AG071448 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ROBERT A HUMMER · 2021 to 2026
$40.2M
JH/CIDR Genotyping for Genome-Wide Association StudiesU01HG004438 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID · 2007 to 2011
$24.2M
National Longitudinal Study of Adolescent to Adult Health (Add Health): Wave VI Cognition and Early Risk Factors for Dementia ProjectU01AG071450 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI AIELLO, ALLISON E, HUMMER, ROBERT A · 2021 to 2025
$16.2M
The Airway Functional Genomics of Bronchodilator Drug Response in Minority Children with AsthmaR01HL117004 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AHITUV, NADAV, SEIBOLD, MAX A · 2013 to 2022
$9.3M
Molecular Epidemiology of Alcoholism 2- Big SibshipsR01AA013320 · NIAAA · WASHINGTON UNIVERSITY · PI HEATH, ANDREW C. · 2003 to 2007
$3.1M
Opioid Dependence: Candidate Genes and G x E EffectsR01DA017305 · NIDA · WASHINGTON UNIVERSITY · PI NELSON, ELLIOT C · 2003 to 2007
$2.5M
Integrative Prioritization of Alcohol and Drug-Addiction Related Genetic LociR01DA042742 · NIDA · EMORY UNIVERSITY · PI PALMER, ROHAN HUGH CRAIG · 2018 to 2022
$1.7M
NHGRI NIH HHS HHSN268200782096CNHGRI NIH HHS U01 HG004438NHLBI NIH HHS R01 HL117004NIAAA NIH HHS R01 AA013320NIA NIH HHS U01 AG071448NIA NIH HHS U01 AG071450NICHD NIH HHS P01 HD031921NIDA NIH HHS R01 DA017305NIDA NIH HHS R01 DA042742
6 · The paper itself

Abstract

introductionHeritability estimates of nicotine dependence (ND) range from 40% to 70%, but discovery GWAS of ND are underpowered and have limited predictive utility. In this work, we leverage genetically correlated traits and diseases to increase the accuracy of polygenic risk prediction.

methodsWe employed a multi-trait model using summary statistic-based best linear unbiased predictors (SBLUP) of genetic correlates of DSM-IV diagnosis of ND in 6394 individuals of European Ancestry (prevalence = 45.3%, %female = 46.8%, µ age = 40.08 [s.d. = 10.43]) and 3061 individuals from a nationally-representative sample with Fagerström Test for Nicotine Dependence symptom count (FTND; 51.32% female, mean age = 28.9 [s.d. = 1.70]). Polygenic predictors were derived from GWASs known to be phenotypically and genetically correlated with ND (i.e., Cigarettes per Day [CPD], the Alcohol Use Disorders Identification Test [AUDIT-Consumption and AUDIT-Problems], Neuroticism, Depression, Schizophrenia, Educational Attainment, Body Mass Index [BMI], and Self-Perceived Risk-Taking); including Height as a negative control. Analyses controlled for age, gender, study site, and the first 10 ancestral principal components.

resultsThe multi-trait model accounted for 3.6% of the total trait variance in DSM-IV ND. Educational Attainment (β = -0.125; 95% CI: [-0.149,-0.101]), CPD (0.071 [0.047,0.095]), and Self-Perceived Risk-Taking (0.051 [0.026,0.075]) were the most robust predictors. PGS effects on FTND were limited.

conclusionsRisk for ND is not only polygenic, but also pleiotropic. Polygenic effects on ND that are accessible by these traits are limited in size and act additively to explain risk. IMPLICATIONS: These findings enhance our understanding of inherited genetic factors for nicotine dependence. The data show that genome-wide association study (GWAS) findings across pre- and comorbid conditions of smoking are differentially associated with nicotine dependence and that when combined explain significantly more trait variance. These findings underscore the utility of multivariate approaches to understand the validity of polygenic scores for nicotine dependence, especially as the power of GWAS of broadly-defined smoking behaviors increases. Realizing the potential of GWAS to inform complex smoking behaviors will require similar theory-driven models that reflect the myriad of mechanisms that drive individual differences.

Indexed as

AlcoholismTobacco Use DisorderAdultFemaleGenome-Wide Association StudyHumansMaleMultifactorial InheritanceSmoking

Identifiers

PMID34008017
PMCPMC8570665
OpenAlexW3162482506

What OpenQuestion holds

Textmetadata
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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 OpenQuestion graph.