Genetic comparison of sickle cell anaemia cohorts from Brazil and the United States reveals high levels of divergence.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
26 07 2019
Historique:
received: 14 03 2019
accepted: 15 07 2019
entrez: 28 7 2019
pubmed: 28 7 2019
medline: 11 11 2020
Statut: epublish

Résumé

Genetic analysis of admixed populations raises special concerns with regard to study design and data processing, particularly to avoid population stratification biases. The point mutation responsible for sickle cell anaemia codes for a variant hemoglobin, sickle hemoglobin or HbS, whose presence drives the pathophysiology of disease. Here we propose to explore ancestry and population structure in a genome-wide study with particular emphasis on chromosome 11 in two SCA admixed cohorts obtained from urban populations of Brazil (Pernambuco and São Paulo) and the United States (Pennsylvania). Ancestry inference showed different proportions of European, African and American backgrounds in the composition of our samples. Brazilians were more admixed, had a lower African background (43% vs. 78% on the genomic level and 44% vs. 76% on chromosome 11) and presented a signature of positive selection and Iberian introgression in the HbS region, driving a high differentiation of this locus between the two cohorts. The genetic structures of the SCA cohorts from Brazil and US differ considerably on the genome-wide, chromosome 11 and HbS mutation locus levels.

Identifiants

pubmed: 31350437
doi: 10.1038/s41598-019-47313-2
pii: 10.1038/s41598-019-47313-2
pmc: PMC6659681
doi:

Substances chimiques

Hemoglobin, Sickle 0

Types de publication

Comparative Study Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

10896

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Auteurs

Pedro R S Cruz (PRS)

Laboratory of Human Genetics, Centre for Molecular Biology and Genetic Engineering (CBMEG), University of Campinas - UNICAMP, Campinas, SP, Brazil.

Galina Ananina (G)

Laboratory of Human Genetics, Centre for Molecular Biology and Genetic Engineering (CBMEG), University of Campinas - UNICAMP, Campinas, SP, Brazil.

Vera Lucia Gil-da-Silva-Lopes (VL)

Department of Medical Genetics and Genomic Medicine, Faculty of Medical Sciences, University of Campinas - UNICAMP, Campinas, SP, Brazil.

Milena Simioni (M)

Department of Medical Genetics and Genomic Medicine, Faculty of Medical Sciences, University of Campinas - UNICAMP, Campinas, SP, Brazil.

Farid Menaa (F)

Laboratory of Human Genetics, Centre for Molecular Biology and Genetic Engineering (CBMEG), University of Campinas - UNICAMP, Campinas, SP, Brazil.

Marcos A C Bezerra (MAC)

Genetics Postgraduate Program, Federal University of Pernambuco, Recife, PE, Brazil.

Igor F Domingos (IF)

Genetics Postgraduate Program, Federal University of Pernambuco, Recife, PE, Brazil.

Aderson S Araújo (AS)

Haematology and Haemotherapy Foundation of Pernambuco - HEMOPE, Recife, PE, Brazil.

Renata Pellegrino (R)

Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, USA.

Hakon Hakonarson (H)

Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, USA.

Fernando F Costa (FF)

Haematology and Haemotherapy Centre, University of Campinas - UNICAMP, Campinas, São Paulo, Brazil.

Mônica Barbosa de Melo (MB)

Laboratory of Human Genetics, Centre for Molecular Biology and Genetic Engineering (CBMEG), University of Campinas - UNICAMP, Campinas, SP, Brazil. melomb@uol.com.br.

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Classifications MeSH