Evidence map›Paper›PMID 38879575›Full record

ArticleDiabetology & metabolic syndrome2024

A pilot study of mitochondrial genomic ancestry in admixed Brazilian patients with type 1 diabetes.

Lívia Leite Ferreira, Anna Beatriz Rodrigues Gonçalves, Igor Josué Barbosa Adiala, Silvia Loiola, Alessandra Dias, Rossana Sousa Azulay, Dayse Aparecida Silva, Marília Brito Gomes

Abstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Lívia Leite FerreiraDNA Diagnostic Laboratory, IBRAG, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
Anna Beatriz Rodrigues GonçalvesForensic Science and Technology Laboratory, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
Igor Josué Barbosa AdialaDNA Diagnostic Laboratory, IBRAG, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
Silvia LoiolaDNA Diagnostic Laboratory, IBRAG, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
Alessandra DiasForensic Science and Technology Laboratory, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
Rossana Sousa AzulayService of Endocrinology, University Hospital of the Federal University of Maranhão, São Luís, Brazil.
Dayse Aparecida SilvaDNA Diagnostic Laboratory, IBRAG, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
Marília Brito GomesDepartment of Internal Medicine, Diabetes Unit, Rio de Janeiro State University (UERJ), Boulevard 28 Setembro 77, Rio de Janeiro, Rio de Janeiro, Brazil. mariliabgomes@gmail.com.ORCID http://orcid.org/0000-0003-4458-4741

Funding

PROCESSING OF ELEMENTARY VISUAL STIMULIR01EY001128 · NEI · SRI INTERNATIONAL · PI KELLY, DONALD H. · 1986 to 1990
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Conselho Nacional de Desenvolvimento Científico e Tecnológico 563753/2010-2Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 88887.602580/2021-00Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro 260003/001128/2020
6 · The paper itself

Abstract

Interactions between multiple genes and environmental factors could be related to the pathogenesis of type 1 diabetes (T1D). The Brazilian population results from different historical miscegenation events, resulting in a highly diverse genetic pool. This study aimed to analyze the mtDNA of patients with T1D and to investigate whether there is a relationship between maternal ancestry, self-reported color and the presence of T1D. The mtDNA control region of 204 patients with T1D residing in three geographic regions of Brazil was sequenced following the International Society for Forensic Genetics (ISFG) recommendations. We obtained a frequency of Native American matrilineal origin (43.6%), African origin (38.2%), and European origin (18.1%). For self-declared color, 42.6% of the patients with diabetes reported that they were White, 50.9% were Brown, and 5.4% were Black. Finally, when we compared the self-declaration data with maternal ancestral origin, we found that for the self-declared White group, there was a greater percentage of haplogroups of Native American origin (50.6%); for the self-declared Black group, there was a greater percentage of African haplogroups (90.9%); and for the Brown group, there was a similar percentage of Native American and African haplogroups (42.3% and 45.2%, respectively). The Brazilian population with diabetic has a maternal heritage of more than 80% Native American and African origin, corroborating the country's colonization history.

Indexed as

AdmixedMitochondrial DNAPopulationType 1 diabetes

Identifiers

PMID38879575
PMCPMC11179274

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.