Back

Multi-ancestry genome-wide association study and meta-analysis of stimulant use disorder reveals biology and relationships to other psychiatric disorders

Beck, S. E.; Deak, J. D.; Levey, D. F.; Ge, T.; Jeffries, P. W.; Lai, D.; Mallard, T. T.; Degenhardt, L.; Lind, P. A.; Tollerup Nielsen, T.; Tubbs, J. D.; Wetherill, L.; Johnson, E. C.; Hatoum, A. S.; The SUD Working Group of the Psychiatric Genomics Consortium, ; COGA Collaborators, ; Yale-Penn Collaboration, ; The VA Million Veteran Program, ; Borglum, A.; Demontis, D.; Medland, S. E.; Martin, N. G.; Nelson, E. C.; Smoller, J. W.; Kranzler, H. R.; Gaziano, J. M.; Stein, M. B.; Agrawal, A.; Edenberg, H. J.; Gelernter, J.

2026-06-10 genetic and genomic medicine
10.64898/2026.06.05.26354997 medRxiv
Show abstract

Stimulant use disorder (StimUD) is a significant public health problem, but genetic studies have been limited by small sample sizes. We conducted genome-wide association studies (GWAS) of StimUD in the Million Veteran Program (MVP) and All of Us (AOU), followed by meta-analysis with FinnGen and 10 additional datasets, for a total of 709,369 individuals (Ncases=33,977, Ncontrols=675,392) in four broad ancestry groups: European (EUR) (Ncases=22,564, Ncontrols=624,672), African (AFR) (Ncases=7,574, Ncontrols=34,189), Admixed American (AMR) (Ncases=3,657, Ncontrols=15,698), and East Asian (EAS) (Ncases=182, Ncontrols=833). Population-specific SNP heritability was 6.1% in EUR and 2.4% in AFR. We discovered a total of 19 genome-wide-significant loci, six in EUR, including DRD2*rs5794864, P=7.32E-10, one in AFR, five in a multi-ancestry meta-analysis, including CHRNA5*rs55781567, P=3.27E-9, two in a male-only meta-analysis, including FTO*rs8057044, P=9.50E10-9, and five in a meta-analysis of sex-stratified results. In a hold-out AOU subsample (NEUR=18,841, NAFR=12,263, NAMR=9,739), ancestry-specific polygenic risk scores were significantly associated with StimUD in EUR (OR=3.28, 95% confidence interval (CI)=2.89-3.71) and AMR (OR=2.01, 95% CI=1.71-2.37). Transcriptome-wide association studies, fine-mapping, and colocalization analyses prioritized additional genes (e.g., GPX1, BSN). Genetic correlation, Mendelian randomization, and causal mixture analyses revealed relationships with other substance use and use disorder phenotypes, including cannabis use disorder (rg=0.94, P=5.43E-237) and opioid use disorder (rg=1.01, P=4.40E-107), and other psychiatric traits, including anxiety, depression, neuroticism, and attention-deficit/hyperactivity disorder. This is the first well-powered GWAS of StimUD, and it offers significant insights into disease biology.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Nature Human Behaviour
85 papers in training set
Top 0.1%
13.9%
2
Nature Genetics
240 papers in training set
Top 0.6%
11.9%
3
Neuropsychopharmacology
134 papers in training set
Top 0.3%
10.1%
4
Nature Communications
4913 papers in training set
Top 20%
9.8%
5
JAMA Psychiatry
13 papers in training set
Top 0.1%
6.2%
50% of probability mass above
6
Molecular Psychiatry
242 papers in training set
Top 0.5%
6.2%
7
Nature Neuroscience
216 papers in training set
Top 2%
6.1%
8
Translational Psychiatry
219 papers in training set
Top 2%
3.0%
9
American Journal of Psychiatry
20 papers in training set
Top 0.1%
2.6%
10
European Neuropsychopharmacology
15 papers in training set
Top 0.2%
2.5%
11
Cell Genomics
162 papers in training set
Top 2%
2.3%
12
Genome Medicine
154 papers in training set
Top 4%
2.0%
13
Biological Psychiatry
119 papers in training set
Top 1%
2.0%
14
The American Journal of Human Genetics
206 papers in training set
Top 2%
1.6%
15
Nature Medicine
117 papers in training set
Top 2%
1.6%
16
Nature
575 papers in training set
Top 12%
1.6%
17
Addiction Biology
47 papers in training set
Top 0.6%
1.3%
18
eLife
5422 papers in training set
Top 48%
1.3%
19
Science Advances
1098 papers in training set
Top 23%
1.3%
20
Psychological Medicine
74 papers in training set
Top 1%
1.2%
21
Neuron
282 papers in training set
Top 8%
0.9%
22
Cell
370 papers in training set
Top 16%
0.9%
23
Communications Biology
886 papers in training set
Top 30%
0.6%