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


Journal

Addiction (Abingdon, England)
ISSN: 1360-0443
Titre abrégé: Addiction
Pays: England
ID NLM: 9304118

Informations de publication

Date de publication:
09 2023
Historique:
received: 26 10 2022
accepted: 25 03 2023
pmc-release: 01 09 2024
medline: 8 8 2023
pubmed: 18 4 2023
entrez: 17 4 2023
Statut: ppublish

Résumé

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

Sections du résumé

BACKGROUND AND AIMS
Genetic 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, PARTICIPANTS
Using 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.
FINDINGS
EUR 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).
CONCLUSIONS
Genetic risk for SUDs appears to predict substance use milestones and symptom progression among European-ancestry individuals and, to a lesser extent, African-ancestry individuals.

Identifiants

pubmed: 37069489
doi: 10.1111/add.16210
pmc: PMC10525011
mid: NIHMS1902950
doi:

Substances chimiques

Ethanol 3K9958V90M

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

1675-1686

Subventions

Organisme : NIAAA NIH HHS
ID : K01 AA028292
Pays : United States
Organisme : NIDA NIH HHS
ID : P30 DA046345
Pays : United States
Organisme : NIAAA NIH HHS
ID : R01 AA026364
Pays : United States
Organisme : NIDA NIH HHS
ID : R01 DA018432
Pays : United States

Informations de copyright

© 2023 Society for the Study of Addiction.

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Auteurs

Henry R Kranzler (HR)

Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Mental Illness Research, Education and Clinical Center, Veterans Integrated Service Network 4, Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA.

Richard Feinn (R)

Department of Medical Sciences, Frank H. Netter School of Medicine at Quinnipiac University, North Haven, CT, USA.

Heng Xu (H)

Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.

Brendan L Ho (BL)

Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.

Divya Saini (D)

Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.

Olivia R Nicastro (OR)

Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.

Anya Jacoby (A)

Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.

Sylvanus Toikumo (S)

Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Mental Illness Research, Education and Clinical Center, Veterans Integrated Service Network 4, Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA.

Joel Gelernter (J)

Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
VA Connecticut Healthcare System, West Haven, CT, USA.

Emily E Hartwell (EE)

Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Department of Medical Sciences, Frank H. Netter School of Medicine at Quinnipiac University, North Haven, CT, USA.

Rachel L Kember (RL)

Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Mental Illness Research, Education and Clinical Center, Veterans Integrated Service Network 4, Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA.

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Classifications MeSH