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Genetic and Environmental Contribution to the Co-Occurrence of Endocrine-Metabolic Disorders and Depression: A Nationwide Swedish Study of Siblings
Janssen Pharmaceutical Companies of Johnson & Johnson, Solna, Sweden; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden.
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden.
Janssen Pharmaceutical Companies of Johnson & Johnson, Solna, Sweden; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden.
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden; Child and Adolescent Psychiatry Stockholm, Stockholm Health Care Services, Region Stockholm, Sweden; Department of Child Psychiatry, Medical University of Warsaw, Warsaw; Department of Biostatistics and Translational Medicine, Medical University of Lodz, Lodz, Poland.
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2022 (engelsk)Inngår i: American Journal of Psychiatry, ISSN 0002-953X, E-ISSN 1535-7228, Vol. 179, nr 11, s. 824-832Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

OBJECTIVE: Depression is common in individuals with endocrine-metabolic disorders and vice versa, and a better understanding of the underlying factors contributing to the comorbidity of these disorders is needed. This study investigated the familial coaggregation of depression and endocrine-metabolic disorders and estimated the contribution of genetic and environmental factors to their co-occurrence.

METHODS: This population-based cohort study included 2.2 million individuals born in Sweden between 1973 and 1996, with follow-up through 2013. Participants were linked to their biological parents, allowing identification of full siblings, maternal half siblings, and paternal half siblings. Diagnoses of depression and endocrine-metabolic conditions were investigated, with the latter grouped into autoimmune disorders (autoimmune hypothyroidism, Graves' disease, and type 1 diabetes) and non-autoimmune disorders (type 2 diabetes, obesity, and polycystic ovary syndrome). Logistic regression and Cox regression were used to estimate the associations between endocrine-metabolic disorders and depression within the same individual and across siblings. Quantitative genetic modeling was performed to investigate the relative contribution of genetic and environmental influences.

RESULTS: Individuals with endocrine-metabolic disorders had a significantly higher risk of depression, with odds ratios ranging from 1.43 (95% CI=1.30, 1.57) for Graves' disease to 3.48 (95% CI=3.25, 3.72) for type 2 diabetes. Increased risks extended to full and half siblings. These correlations were mainly explained by shared genetic influences for non-autoimmune conditions, and by nonshared environmental factors for autoimmune disorders, especially for type 1 diabetes.

CONCLUSIONS: These findings provide phenotypic and etiological insights into the co-occurrence of depression and various endocrine-metabolic conditions, which could guide future research aiming at identifying pathophysiological mechanisms and intervention targets.

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HighWire Press , 2022. Vol. 179, nr 11, s. 824-832
Emneord [en]
Depressive Disorders, Metabolism
HSV kategori
Identifikatorer
URN: urn:nbn:se:oru:diva-101424DOI: 10.1176/appi.ajp.21090954ISI: 000898629000011PubMedID: 36128682Scopus ID: 2-s2.0-85141005677OAI: oai:DiVA.org:oru-101424DiVA, id: diva2:1698407
Forskningsfinansiär
EU, Horizon 2020, 721567Tilgjengelig fra: 2022-09-23 Laget: 2022-09-23 Sist oppdatert: 2023-01-10bibliografisk kontrollert

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