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Genetic Contribution to the Heterogeneity of Major Depressive Disorder: Evidence From a Sibling-Based Design Using Swedish National Registers
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; College of Pharmacy, University of Manitoba, Winnipeg, Canada.
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Örebro University, School of Medical Sciences. Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID iD: 0000-0002-6851-3297
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2023 (English)In: American Journal of Psychiatry, ISSN 0002-953X, E-ISSN 1535-7228, Vol. 180, no 10, p. 714-722Article in journal (Refereed) Published
Abstract [en]

OBJECTIVE: Major depressive disorder (MDD) is highly heterogeneous. Standard typology partly captures the disorder's symptomatic heterogeneity, although whether it adequately captures etiological heterogeneity remains elusive. The aim of this study was to investigate the genetic characterization of MDD heterogeneity.

METHODS: Using Swedish patient register data on 1.5 million individuals, the authors identified 46,255 individuals with specialist-diagnosed MDD. Eighteen subgroups were identified based on nine comparison groups defined by clinical and psychosocial features, including severity, recurrence, comorbidities, suicidality, impairment, disability, care unit, and age at diagnosis. A sibling-based design and classic quantitative genetic models were applied to estimate heritability of MDD subgroups and genetic correlations between subgroups.

RESULTS: Estimates of heritability ranged from 30.5% to 58.3% across subgroups. The disabled and youth-onset subgroups showed significantly higher heritability (55.1%-58.3%) than the overall MDD sample (45.3%, 95% CI=43.0-47.5), and the subgroups with single-episode MDD and without psychiatric comorbidity showed significantly lower estimates (30.5%-34.4%). Estimates of genetic correlations between the subgroups within comparison groups ranged from 0.33 to 0.90. Seven of nine genetic correlations were significantly smaller than 1, suggesting differences in underlying genetic architecture. These results were largely consistent with previous work using genomic data.

CONCLUSIONS: The findings of differential heritability and partially distinct genetic components in subgroups provide important insights into the genetic heterogeneity of MDD and a deeper etiological understanding of MDD clinical subgroups.

Place, publisher, year, edition, pages
HighWire Press , 2023. Vol. 180, no 10, p. 714-722
Keywords [en]
Depressive Disorders, Epidemiology, Genetics / Genomics, Heterogeneity, Major Depressive Disorder
National Category
Psychiatry
Identifiers
URN: urn:nbn:se:oru:diva-107961DOI: 10.1176/appi.ajp.20220906ISI: 001167936600006PubMedID: 37644812Scopus ID: 2-s2.0-85172941051OAI: oai:DiVA.org:oru-107961DiVA, id: diva2:1792891
Funder
EU, Horizon 2020, 847776; 964874Swedish Research Council, D0886501
Note

Supported by NIMH (grant R01 MH123724), the European Union's Horizon 2020 Research and Innovation Program (grant agreement numbers 847776 and 964874), and the European Research Council (grant agreement ID 101042183). Dr. Sullivan acknowledges support from the Swedish Research Council (Vetenskapsradet, award D0886501) and NIMH (R01 grants MH124871, MH121545, and MH123724).

Available from: 2023-08-30 Created: 2023-08-30 Last updated: 2024-03-20Bibliographically approved

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