Polygenic Risk Scores and Twin Concordance for Schizophrenia and Bipolar Disorder.


Journal

JAMA psychiatry
ISSN: 2168-6238
Titre abrégé: JAMA Psychiatry
Pays: United States
ID NLM: 101589550

Informations de publication

Date de publication:
28 Aug 2024
Historique:
medline: 28 8 2024
pubmed: 28 8 2024
entrez: 28 8 2024
Statut: aheadofprint

Résumé

Schizophrenia and bipolar disorder are highly heritable psychiatric disorders with strong genetic and phenotypic overlap. Twin and molecular methods can be leveraged to predict the shared genetic liability to these disorders. To investigate whether twin concordance for psychosis depends on the level of polygenic risk score (PRS) for psychosis and zygosity and compare PRS from cases and controls from several large samples and estimate the twin heritability of psychosis. In this case-control study, psychosis PRS were generated from a genome-wide association study (GWAS) combining schizophrenia and bipolar disorder into a single psychosis phenotype and compared between cases and controls from the Schizophrenia and Bipolar Twin Study in Sweden (STAR) project. Further tests were conducted to ascertain if twin concordance for psychosis depended on the mean PRS for psychosis. Structural equation modeling was used to estimate heritability. This study constituted an analysis of existing clinical and population datasets with genotype and/or twin data. Included were twins from the STAR cohort and from the Swedish Twin Registry. Data were collected during the 2006 to 2013 period and analyzed from March 2023 to June 2024. PRS for psychosis based on the most recent GWAS of combined schizophrenia/bipolar disorder. Psychosis case status was assessed by clinical interviews and/or Swedish National Register data. The final cohort comprised 87 pairs of twins with 1 or both affected and 59 unaffected pairs from the STAR project (for a total of 292 twins) as well as 443 pairs with 1 or both affected and 20 913 unaffected pairs from the Swedish Twin Registry. Among the 292 twins (mean [SD] birth year, 1960 [10.8] years; 158 female [54.1%]; 134 male [45.9%]), 134 were monozygotic twins, and 158 were dyzygotic twins. PRS for psychosis was higher in cases than in controls and associated with twin concordance for psychosis (1-SD increase in PRS, odds ratio [OR], 2.12; 95% CI, 1.23-3.87 on case status in monozygotic twins and OR, 2.74; 95% CI, 1.56-5.30 in dizygotic twins). The association between PRS for psychosis and concordance was not modified by zygosity. The twin heritability was estimated at 0.73 (95% CI, 0.30-1.00), which overlapped with the estimate in the full Swedish Twin Registry (0.69; 95% CI, 0.43-0.85). In this case-control study, using the natural experiment of twins, results suggest that twins with greater inherited liability for psychosis were more likely to have an affected co-twin. Results from twin and molecular designs largely aligned. Even as illness vulnerability is not solely genetic, PRS carried predictive power for psychosis even in a modest sample size.

Identifiants

pubmed: 39196586
pii: 2822688
doi: 10.1001/jamapsychiatry.2024.2406
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Jie Song (J)

Mental Health Center and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
Med-X Center for Informatics, Sichuan University, Chengdu, China.
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.

Joëlle A Pasman (JA)

Med-X Center for Informatics, Sichuan University, Chengdu, China.
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.

Viktoria Johansson (V)

Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Department of Clinical Sciences, Psychiatry, Umeå University, Umeå, Sweden.

Ralf Kuja-Halkola (R)

Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.

Arvid Harder (A)

Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.

Robert Karlsson (R)

Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.

Yi Lu (Y)

Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.

Kaarina Kowalec (K)

Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
College of Pharmacy, University of Manitoba, Winnipeg, Manitoba, Canada.

Nancy L Pedersen (NL)

Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.

Tyrone D Cannon (TD)

Department of Psychology, Yale University, New Haven, Connecticut.

Christina M Hultman (CM)

Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.

Patrick F Sullivan (PF)

Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Departments of Genetics and Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill.

Classifications MeSH