The association between family history and genomic burden with schizophrenia mortality: a Swedish population-based register and genetic sample studyShow others and affiliations
2021 (English)In: Translational Psychiatry, E-ISSN 2158-3188, Vol. 11, no 1, article id 163
Article in journal (Refereed) Published
Abstract [en]
Individuals with schizophrenia (SCZ) have a 2-3-fold higher risk of mortality than the general population. Heritability of mortality in psychiatric disorders has been proposed; however, few have investigated SCZ family history and genetic variation, with all-cause and specific causes of death. We aimed to identify correlates of SCZ mortality using genetic epidemiological and genetic modelling in two samples: a Swedish national population sample and a genotyped subsample. In the Swedish national population sample followed from the first SCZ treatment contact until emigration, death or end of the follow-up, we investigated a standardised measure of SCZ family history. In a subgroup with comprehensive genetic data, we investigated the impact of common and rare genetic variation. Cox proportional hazards regression was used to estimate the association between various factors and mortality (all and specific causes). A total of 13727 SCZ cases fulfilled criteria for the population-based analyses (1268 deaths, 9.2%). The genomic subset contained 4991 cases (1353 deaths, 27.1%). Somatic mutations associated with clonal hematopoiesis with unknown drivers were associated with all-cause mortality (HR 1.77, 95% CI: 1.26-2.49). No other heritable measures were associated with all-cause mortality nor with any specific causes of death. Future studies in larger, comparable cohorts are warranted to further understand the association between hereditary measures and mortality in SCZ.
Place, publisher, year, edition, pages
Springer Nature, 2021. Vol. 11, no 1, article id 163
National Category
Psychiatry
Identifiers
URN: urn:nbn:se:oru:diva-90503DOI: 10.1038/s41398-021-01282-1ISI: 000629648400004PubMedID: 33723211Scopus ID: 2-s2.0-85102593861OAI: oai:DiVA.org:oru-90503DiVA, id: diva2:1537875
Funder
Swedish Research Council, D0886501 D201805763 D20133196EU, Horizon 2020, 610307Stockholm County Council
Note
Funding Agencies:
European Union's Horizon 2020 Research and Innovation programme under the Marie Skodowska-Curie grant agreement 793530
Government of Canada Banting Postdoctoral Fellowship Programme
University of Manitoba
United States Department of Health & Human Services
National Institutes of Health (NIH) - USA
NIH National Institute of Mental Health (NIMH) R01 MH77139 U01 MH109528 R01 MH077139
2021-03-172021-03-172024-01-17Bibliographically approved