Genomic ancestry and metabolic syndrome in individuals with type 1 diabetes from an admixed population: a multicentre, cross-sectional study in Brazil.

Autor: Barros BSV; Department of Internal Medicine, Diabetes Unit, State University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil., Santos DC; Department of Internal Medicine, Diabetes Unit, State University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil., Melo LGN; Department of Ophthalmology, State University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil., Pizarro MH; Department of Internal Medicine, Diabetes Unit, State University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil., Muniz LH; Department of Internal Medicine, Diabetes Unit, State University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil., Silva DA; DNA Diagnostic Laboratory, State University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil., Porto LC; Histocompatibility and Cryopreservation Laboratory, State University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil., Gomes MB; Department of Internal Medicine, Diabetes Unit, State University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Jazyk: angličtina
Zdroj: Diabetic medicine : a journal of the British Diabetic Association [Diabet Med] 2021 Feb; Vol. 38 (2), pp. e14400. Date of Electronic Publication: 2020 Sep 25.
DOI: 10.1111/dme.14400
Abstrakt: Aims: To evaluate the relationship between self-reported colour-race, genomic ancestry, and metabolic syndrome in an admixed Brazilian population with type 1 diabetes.
Methods: We included 1640 participants with type 1 diabetes. The proportions of European, African and Amerindian genomic ancestries were determined by 46 ancestry informative markers of insertion deletion. Two different sets of analyses were performed to determine whether self-reported colour-race and genomic ancestry were predictors of metabolic syndrome.
Results: Metabolic syndrome was identified in 29.8% of participants. In the first model, the factors associated with metabolic syndrome were: female gender (odds ratio 1.95, P < 0.001); diabetes duration (odds ratio 1.04, P < 0.001); family history of type 2 diabetes (odds ratio 1.36, P = 0.019); and acanthosis nigricans (odds ratio 5.93, P < 0.001). Colour-race was not a predictive factor for metabolic syndrome. In the second model, colour-race was replaced by European genomic ancestry. The associated factors were: female gender (odds ratio 1.95, P < 0.001); diabetes duration (odds ratio 1.04, P < 0.001); family history of type 2 diabetes (odds ratio 1.39, P = 0.011); and acanthosis nigricans (odds ratio 6.12, P < 0.001). Physical exercise (≥3 times a week) was a protective factor (odds ratio 0.77, P = 0.041), and European genomic ancestry was not associated with metabolic syndrome but showed an odds ratio of 1.77 (P = 0.05).
Conclusions: Although a higher level of European genomic ancestry was observed among participants with metabolic syndrome in the univariate analysis, this association did not persist after multivariable adjustments. Further prospective studies in other highly admixed populations remain necessary to better evaluate whether the European ancestral component modulates the development of metabolic syndrome in type 1 diabetes.
(© 2020 Diabetes UK.)
Databáze: MEDLINE
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