Evidence map›Paper›PMID 37069489›Full record

ArticleAddiction (Abingdon, England)2023

Does polygenic risk for substance-related traits predict ages of onset and progression of symptoms?

Henry R Kranzler, Richard Feinn, Heng Xu, Brendan L Ho, Divya Saini, Olivia R Nicastro, Anya Jacoby, Sylvanus Toikumo, Joel Gelernter, Emily E Hartwell and 1 more

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. 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

11 authors.

Henry R KranzlerDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.ORCID 0000-0002-1018-0450
Richard FeinnDepartment of Medical Sciences, Frank H. Netter School of Medicine at Quinnipiac University, North Haven, CT, USA.
Heng XuDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Brendan L HoDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.ORCID 0000-0002-0870-3822
Divya SainiDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Olivia R NicastroDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Anya JacobyDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Sylvanus ToikumoDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Joel GelernterDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Emily E HartwellDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.ORCID 0000-0002-5137-9714
Rachel L KemberDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.ORCID 0000-0001-8820-2659

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Radiochemistry CoreP30DA046345 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI KRANZLER, HENRY RICHARD, MACH, ROBERT H · 2019 to 2023
$9.4M
Genetics of Cocaine DependenceR01DA018432 · NIDA · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI KRANZLER, HENRY RICHARD · 2006 to 2010
$3.5M
Genetics of Alcohol Dependence in African Americans: RecruitmentR01AA026364 · NIAAA · YALE UNIVERSITY · PI GELERNTER, JOEL · 2018 to 2022
$2.0M
Characterizing the phenotypic spectrum associated with genetic liability for alcohol use disorderK01AA028292 · NIAAA · UNIVERSITY OF PENNSYLVANIA · PI KEMBER, RACHEL LORRAINE · 2021 to 2024
$505k
CSRD VA IK2 CX002336NCATS NIH HHS UL1 TR001863NIAAA NIH HHS K01 AA028292NIAAA NIH HHS R01 AA026364NIDA NIH HHS P30 DA046345NIDA NIH HHS R01 DA018432
6 · The paper itself

Abstract

BACKGROUND AND

aimsGenetic risk can influence disease progression. We measured the impact of genetic risk for substance use disorders (SUDs) on substance use onset and progression of symptoms. DESIGN, SETTING,

participantsUsing findings from genome-wide association studies (GWASs) of alcohol use disorder (AUD), opioid use disorder (OUD) and smoking trajectory (SMK) as discovery samples, we calculated polygenic risk scores (PRSs) in a deeply phenotyped independent target sample. Participants in the target sample were recruited from 2000 to 2020 from US inpatient or outpatient settings or through advertisements and comprised 5692 European-ancestry individuals (EUR) (56.2% male) and 4918 African-ancestry individuals (AFR) (54.9% male). MEASUREMENTS: This study measured age of first substance use, regular use, reported problems and dependence diagnosis and progression from regular use to onset of problems and dependence for alcohol, opioids and smoking. We examined the contribution of PRS to each milestone and progression measure.

findingsEUR and males reported an earlier onset and shorter progression times than AFR and females, respectively. Among EUR, higher AUD PRS predicted earlier onset and more rapid progression to alcohol-related milestones (P < 0.001). Although the AUD PRS was a stronger moderator of problem onset among females (P = 0.017), it was more predictive of the progression to problems among males (P = 0.005). OUD and SMK PRS in EUR also predicted earlier onset of the respective milestones (P < 0.001). Among AFR, where power is lower due to the smaller discovery sample, AUD PRS predicted age of regular alcohol use (P = 0.039) and dependence (P = 0.001) and progression from regular use to diagnosis (P = 0.045), while SMK PRS predicted earlier age of initiation (P = 0.036).

conclusionsGenetic risk for SUDs appears to predict substance use milestones and symptom progression among European-ancestry individuals and, to a lesser extent, African-ancestry individuals.

Indexed as

AlcoholismSubstance-Related DisordersAlcohol DrinkingEthanolFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMultifactorial InheritanceRisk FactorsEthanolAge of onsetalcohol use disordermilestonesopioid use disorderpolygenic risk scorespredictionprogression measuressmoking

Identifiers

PMID37069489
PMCPMC10525011

What OpenQuestion holds

Textmetadata
LicenceTDM
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.