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Boquett JA, Bisso-Machado R, Zagonel-Oliveira M, Schüler-Faccini L, Fagundes NJR. HLA diversity in Brazil. HLA 2019; 95:3-14. [PMID: 31596032 DOI: 10.1111/tan.13723] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2019] [Revised: 09/11/2019] [Accepted: 10/04/2019] [Indexed: 01/18/2023]
Abstract
Brazil is the fifth largest country in the world in area and the fifth most populous. The Brazilian voluntary Bone Marrow Donor Registry is the third largest in terms of number of donors in the world, being a valuable source of HLA genetics to characterize the donor population of Brazil as well. The genetic background of the Brazilian population is quite heterogeneous, resulting from 5 centuries of admixture among Native Americans, Europeans and Africans, making the Brazilian population unique in terms of genetic ancestry. The unique characteristics of populations in different Brazilian regions make them an exciting focus for genetic diversity studies. Studies on HLA genetic diversity of Brazilian populations have been conducted since the late 1980s and, in this review, we highlight the main findings from studies carried out in Brazil based on classical HLA. In addition, we calculated the genetic distance from the molecular data of the studies included in this review in order to have a broader view of the HLA diversity in Brazilian populations. We emphasize that characterization of HLA diversity is not only important for transplantation programs, but can shed a light on ancestry, history and other demographic patterns with or without association with autoimmune disease.
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Affiliation(s)
- Juliano A Boquett
- Instituto Nacional de Genética Médica Populacional (iNaGeMP), Porto Alegre, Brazil.,Post-graduate Program in Child and Adolescent Health, Faculty of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Post-graduate Program in Genetics and Molecular Biology, Genetics Department, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Rafael Bisso-Machado
- Post-graduate Program in Genetics and Molecular Biology, Genetics Department, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Marcelo Zagonel-Oliveira
- Instituto Nacional de Genética Médica Populacional (iNaGeMP), Porto Alegre, Brazil.,Applied Computing Graduate Program, Advanced Visualization & Geoinformatics Laboratory (VIZLab), Universidade do Vale do Rio dos Sinos, São Leopoldo, Brazil
| | - Lavínia Schüler-Faccini
- Instituto Nacional de Genética Médica Populacional (iNaGeMP), Porto Alegre, Brazil.,Post-graduate Program in Child and Adolescent Health, Faculty of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Post-graduate Program in Genetics and Molecular Biology, Genetics Department, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Nelson J R Fagundes
- Instituto Nacional de Genética Médica Populacional (iNaGeMP), Porto Alegre, Brazil.,Post-graduate Program in Genetics and Molecular Biology, Genetics Department, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
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