Kan, C, Jayaweera, K, Adikari, A, Siribaddana, S, Zavos, HMS, Harber-Aschan, L, Sumathipala, A, Hotopf, M, Ismail, K and Rijsdijk, F (2019) Genetic overlap between type 2 diabetes and depression in a Sri Lankan population twin sample. Psychosomatic Medicine, 82 (2). pp. 247-253. ISSN 1534-7796

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Abstract

OBJECTIVES: Results from twin studies examining the genetic overlap between type 2 diabetes and depression are currently inconclusive. This question has not been addressed in non-western populations. We aimed to examine whether there are common genetic factors between type 2 diabetes and depression in a Sri-Lankan population, using genetic model-fitting analysis. METHOD: The Colombo Twin and Singleton Study-Phase 2 consists of 2019 singletons, 842 monozygotic and 578 dizygotic twin-pairs. The primary outcomes were self-reported type 2 diabetes diagnosis and Beck Depression Inventory scores. Standard bivariate twin models were fitted to estimate the genetic and environmental (co)variance of type 2 diabetes and depression. RESULTS: In the best-fitting model, the phenotypic correlation between type 2 diabetes and depression was significant in females only (r=0.15 (0.08-0.21)). This association was primarily attributed to a significant genetic correlation between the traits (rA=0.53 (0.19-0.98)). CONCLUSIONS: In females, but not males, we found a significant genetic overlap between type 2 diabetes and depression in the context of a modest phenotypic correlation.

Item Type: Article
Additional Information: The final version of this article is available online at https://journals.lww.com/psychosomaticmedicine/Abstract/publishahead/Genetic_overlap_between_type_2_diabetes_and.98579.aspx#pdf-link
Uncontrolled Keywords: type 2 diabetes, depression, genetic, twin, structural equation modeling
Subjects: R Medicine > R Medicine (General)
R Medicine > RA Public aspects of medicine
Divisions: Faculty of Medicine and Health Sciences > School of Primary, Community and Social Care
Related URLs:
Depositing User: Symplectic
Date Deposited: 10 Dec 2019 10:28
Last Modified: 29 Mar 2021 09:25
URI: https://eprints.keele.ac.uk/id/eprint/7365

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