Marília Brito Gomes1, Aline Brazão Gabrielli2, Deborah Conte Santos3, Marcela Haas Pizarro3, Bianca S V Barros3, Carlos Antonio Negrato4, Sergio Atala Dib5, Luís Cristóvão Porto2, Dayse A Silva6. 1. Department of Internal Medicine, Diabetes Unit, Rio de Janeiro State University (UERJ), Rio de Janeiro, Rio de Janeiro, Brazil. Electronic address: mariliabgomes@gmail.com. 2. Histocompatibility and Cryopreservation Laboratory (HLA), Rio de Janeiro State University (UERJ), Rio de Janeiro, Rio de Janeiro, Brazil. 3. Department of Internal Medicine, Diabetes Unit, Rio de Janeiro State University (UERJ), Rio de Janeiro, Rio de Janeiro, Brazil. 4. Bauru's Diabetics Association, Brazil. 5. Department of Internal Medicine, Diabetes Unit, Federal University of São Paulo, Brazil. 6. DNA Diagnostic Laboratory (LDD), Rio de Janeiro State University (UERJ), Rio de Janeiro, Rio de Janeiro, Brazil.
Abstract
AIMS: The development of type 1 diabetes (T1D) and its chronic complications may have a genetic background. The primary objective of our study was to characterize the relationship between self-reported color-race and genomic ancestry (GA) in patients with T1D. As secondary objective, we aimed to characterize GA of patients with T1D from different urban geographical regions of Brazil, compared to healthy Brazilian controls from the same regions. METHODS: This was a cross-sectional, nationwide survey conducted in 14 public clinics from 10 Brazilian cities. Global and individual GA were inferred using a panel of 46 ancestry informative markers (AIMs) in 1698 T1D patients. Ancestry percentage was compared with published data of Brazilian healthy controls (n = 936) for the same AIMs. RESULTS: A higher median individual European ancestry was observed in T1D patients in comparison to controls 67.8 [31.2] vs. 56.3 [25.7]%, respectively (median [IQR]; p < 0.001). As for self-reported color-race in T1D group, 923 (54.3%) participants reported to be White, 610 (35.9%) Brown, 132 (7.8%) Black, 18 (1.1%) Asian and 15 (0.9%) Indigenous. European GA prevailed in those who self-reported as White (74.6%) and Brown (61.1%) and constituted 39.1% in Black self-reported patients. CONCLUSIONS: Our study showed that T1D patients presented a higher percentage of European GA than the healthy population. Additionally, European GA was found in a considerable percentage of T1D patients who self-reported as non-White. Further studies are necessary to establish the influence of GA in the development of T1D as well its related chronic complications in admixed populations.
AIMS: The development of type 1 diabetes (T1D) and its chronic complications may have a genetic background. The primary objective of our study was to characterize the relationship between self-reported color-race and genomic ancestry (GA) in patients with T1D. As secondary objective, we aimed to characterize GA of patients with T1D from different urban geographical regions of Brazil, compared to healthy Brazilian controls from the same regions. METHODS: This was a cross-sectional, nationwide survey conducted in 14 public clinics from 10 Brazilian cities. Global and individual GA were inferred using a panel of 46 ancestry informative markers (AIMs) in 1698 T1D patients. Ancestry percentage was compared with published data of Brazilian healthy controls (n = 936) for the same AIMs. RESULTS: A higher median individual European ancestry was observed in T1D patients in comparison to controls 67.8 [31.2] vs. 56.3 [25.7]%, respectively (median [IQR]; p < 0.001). As for self-reported color-race in T1D group, 923 (54.3%) participants reported to be White, 610 (35.9%) Brown, 132 (7.8%) Black, 18 (1.1%) Asian and 15 (0.9%) Indigenous. European GA prevailed in those who self-reported as White (74.6%) and Brown (61.1%) and constituted 39.1% in Black self-reported patients. CONCLUSIONS: Our study showed that T1D patients presented a higher percentage of European GA than the healthy population. Additionally, European GA was found in a considerable percentage of T1D patients who self-reported as non-White. Further studies are necessary to establish the influence of GA in the development of T1D as well its related chronic complications in admixed populations.
Authors: Rossana Santiago de Sousa Azulay; Luís Cristóvão Porto; Dayse Aparecida Silva; Maria da Glória Tavares; Roberta Maria Duailibe Ferreira Reis; Gilvan Cortês Nascimento; Sabrina da Silva Pereira Damianse; Viviane Chaves de Carvalho Rocha; Marcelo Magalhães; Vandilson Rodrigues; Paulo Ricardo Vilas Boas Carvalho; Manuel Dos Santos Faria; Marília Brito Gomes Journal: Sci Rep Date: 2021-07-08 Impact factor: 4.379
Authors: Dóra Chor; Alexandre Pereira; Antonio G Pacheco; Ricardo V Santos; Maria J M Fonseca; Maria I Schmidt; Bruce B Duncan; Sandhi M Barreto; Estela M L Aquino; José G Mill; Maria delCB Molina; Luana Giatti; Maria daCC Almeida; Isabela Bensenor; Paulo A Lotufo Journal: PLoS One Date: 2019-05-16 Impact factor: 3.240
Authors: Marilia Brito Gomes; Deborah Conte; Karla Rezende Guerra Drummond; Felipe Mallmann; André Araújo Pinheiro; Franz Schubert Lopes Leal; Paulo Henrique Morales; Carlos Antonio Negrato Journal: Diabetol Metab Syndr Date: 2022-01-04 Impact factor: 3.320
Authors: Rafaella S Ferraz; Caio S Silva; Giovanna C Cavalcante; Natércia N M de Queiroz; Karem M Felício; João S Felício; Ândrea Ribeiro-Dos-Santos Journal: Nutrients Date: 2022-02-27 Impact factor: 5.717
Authors: Marília B Gomes; Luís C Porto; Dayse A Silva; Carlos A Negrato; Elizabeth João Pavin; Renan Montenegro Junior; Sergio A Dib; João S Felício; Deborah C Santos; Luiza H Muniz; Rosângela Réa; Rossana Sousa Azulay; Vandilson Rodrigues Journal: Genes (Basel) Date: 2022-05-29 Impact factor: 4.141
Authors: Kelly Nunes; Vitor R C Aguiar; Márcio Silva; Alexandre C Sena; Danielli C M de Oliveira; Carla L Dinardo; Fernanda S G Kehdy; Eduardo Tarazona-Santos; Vanderson G Rocha; Anna Barbara F Carneiro-Proietti; Paula Loureiro; Miriam V Flor-Park; Claudia Maximo; Shannon Kelly; Brian Custer; Bruce S Weir; Ester C Sabino; Luís Cristóvão Porto; Diogo Meyer Journal: Front Immunol Date: 2020-11-06 Impact factor: 7.561