Identifying genetic loci and phenomic associations of substance use traits: A multi‐trait analysis of GWAS (MTAG) study

Author:

Xu Heng1,Toikumo Sylvanus12,Crist Richard C.12ORCID,Glogowska Klaudia1,Jinwala Zeal1,Deak Joseph D.34ORCID,Justice Amy C.456,Gelernter Joel34,Johnson Emma C.7ORCID,Kranzler Henry R.12ORCID,Kember Rachel L.12ORCID

Affiliation:

1. Department of Psychiatry University of Pennsylvania Perelman School of Medicine Philadelphia Pennsylvania USA

2. Mental Illness Research, Education and Clinical Center Veterans Integrated Service Network 4, Crescenz Veterans Affairs Medical Center Philadelphia Pennsylvania USA

3. Department of Psychiatry Yale University School of Medicine New Haven Connecticut USA

4. Veterans Affairs Connecticut Healthcare Center West Haven Connecticut USA

5. Department of Internal Medicine Yale University School of Medicine New Haven Connecticut USA

6. Department of Health Policy and Management Yale School of Public Health New Haven Connecticut USA

7. Department of Psychiatry Washington University School of Medicine St Louis Missouri USA

Abstract

AbstractBackground and AimsGenome‐wide association studies (GWAS) of opioid use disorder (OUD) and cannabis use disorder (CUD) have lagged behind those of alcohol use disorder (AUD) and smoking, where many more loci have been identified. We sought to identify novel loci for substance use traits (SUTs) in both African‐ (AFR) and European‐ (EUR) ancestry individuals to enhance our understanding of the traits’ genetic architecture.DesignWe used multi‐trait analysis of GWAS (MTAG) to analyze four SUTs in EUR subjects (OUD, CUD, AUD and smoking initiation [SMKinitiation]), and three SUTs in AFR subjects (OUD, AUD and smoking trajectory [SMKtrajectory]). We conducted gene‐set and protein–protein interaction analyses and calculated polygenic risk scores (PRS) in two independent samples.SettingThis study was conducted in the United States.ParticipantsA total of 5692 EUR and 4918 AFR individuals in the Yale‐Penn sample and 29 054 EUR and 10 265 AFR individuals in the Penn Medicine BioBank sample.FindingsMTAG identified genome‐wide significant (GWS) single nucleotide polymorphisms (SNPs) for all four traits in EUR: 41 SNPs in 36 loci for OUD; 74 SNPs in 60 loci for CUD; 63 SNPs in 52 loci for AUD; and 183 SNPs in 144 loci for SMKinitiation. MTAG also identified GWS SNPs in AFR: 2 SNPs in 2 loci for OUD; 3 SNPs in 3 loci for AUD; and 1 SNP in 1 locus for SMKtrajectory. In the Yale‐Penn sample, the MTAG‐derived PRS consistently yielded more significant associations with both the corresponding substance use disorder diagnosis and multiple related phenotypes than the GWAS‐derived PRS.ConclusionsMulti‐trait analysis of genome‐wide association studies boosted the number of loci found for substance use traits, identifying genes not previously linked to any substance, and increased the power of polygenic risk scores. Multi‐trait analysis of genome‐wide association studies can be used to identify novel associations for substance use, especially those for which the samples are smaller than those for historically legal substances.

Funder

National Institute on Drug Abuse

National Institute on Alcohol Abuse and Alcoholism

Publisher

Wiley

Subject

Psychiatry and Mental health,Medicine (miscellaneous)

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