Increased schizophrenia family history burden and reduced premorbid IQ in treatment-resistant schizophrenia: a Swedish National Register and Genomic Study.


Journal

Molecular psychiatry
ISSN: 1476-5578
Titre abrégé: Mol Psychiatry
Pays: England
ID NLM: 9607835

Informations de publication

Date de publication:
08 2021
Historique:
received: 04 04 2019
accepted: 23 10 2019
revised: 23 09 2019
pubmed: 13 11 2019
medline: 28 1 2022
entrez: 13 11 2019
Statut: ppublish

Résumé

A high proportion of those with schizophrenia experience treatment non-response, placing them at higher risk for mortality and suicide attempts, compared to treatment responders. The clinical, social, and economic burden of treatment-resistant schizophrenia (TRS) are substantial. Previous genomic and epidemiological studies of TRS were often limited by sample size or lack of comprehensive genomic data. We aimed to systematically understand the clinical, demographic, and genomic correlates of TRS using epidemiological and genetic epidemiological modelling in a Swedish national population sample (n = 24,706) and then in a subgroup with common variant genetic risk scores, rare copy-number variant burden, and rare exonic burden (n = 4936). Population-based analyses identified increasing schizophrenia family history to be significantly associated with TRS (highest quartile of familial burden vs. lowest: adjusted odds ratio (aOR): 1.31, P = 4.8 × 10

Identifiants

pubmed: 31712719
doi: 10.1038/s41380-019-0575-1
pii: 10.1038/s41380-019-0575-1
pmc: PMC9731609
mid: NIHMS1852467
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

4487-4495

Subventions

Organisme : NIMH NIH HHS
ID : R01 MH077139
Pays : United States

Informations de copyright

© 2019. The Author(s), under exclusive licence to Springer Nature Limited.

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Auteurs

Kaarina Kowalec (K)

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

Yi Lu (Y)

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

Amir Sariaslan (A)

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

Jie Song (J)

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

Alexander Ploner (A)

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

Christina Dalman (C)

Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden.

Christina M Hultman (CM)

Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Icahn School of Medicine, Department of Psychiatry, Mt. Sinai Hospital, New York, NY, USA.

Henrik Larsson (H)

Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
School of Medical Sciences, Örebo University, Örebo, Sweden.

Paul Lichtenstein (P)

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

Patrick F Sullivan (PF)

Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. patrick.sullivan@ki.se.
Departments of Genetics and Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. patrick.sullivan@ki.se.

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