Rio Grande do Norte, Brazil, voluntary bone marrow donors registry analysis
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista da Associação Médica Brasileira (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-42302015000100010 |
Resumo: | Objective: this study aimed to report the allele and haplotype frequencies of volunteer bone marrow donors (VBMD) from the state of Rio Grande do Norte (RN) who were enrolled in the Brazilian Volunteer Bone Marrow Donor Registry (REDOME). Methods: the sample comprised 12,973 VBMD who had their allele and haplotype frequencies calculated by Arlequin 3.5.1.2. A multivariate analysis of the data was obtained through a principal component analysis (PCA) and hierarchical cluster analysis (HCA) performed with SPSS 8.0. Results: the most frequent allelic group was HLA-A*02, followed by -DRB1*13, -DRB1*04, -DRB1*07, -B*44, -B*35, -A*24 and -DRB1*01. Of the 2,701 haplotypes observed, the three most frequent were HLA-A*01 B*08 DRB1*03 (1.62%), -A*29 B*44 DRB1*07 (1.56%) and -A*02 B*44 DRB1*04 (1.29%). These haplotypes were in linkage disequilibrium. RN allele and haplotype frequencies were very similar to those in other Brazilian states in which similar studies have been performed. The PCA revealed that RN is highly genetically similar to Caucasian populations, especially those from Iberian countries, which strongly influenced the state’s ethnic composition. Africans and Amerindians also influenced the RN population structure, to a lesser extent. Conclusion: the HCA reinforced the conclusion that, despite its highly admixed profile, the RN population is genetically similar to European and European-descended populations. The PCA also showed that RN cities do not contribute to the same extent to REDOME, with less populous cities being underrepresented, indicating the need to enroll more VBMD from these smaller cities to faithfully depict the state’s population structure in the database. |
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Rio Grande do Norte, Brazil, voluntary bone marrow donors registry analysisHLA antigenstransplantationbone marrowBrazil Objective: this study aimed to report the allele and haplotype frequencies of volunteer bone marrow donors (VBMD) from the state of Rio Grande do Norte (RN) who were enrolled in the Brazilian Volunteer Bone Marrow Donor Registry (REDOME). Methods: the sample comprised 12,973 VBMD who had their allele and haplotype frequencies calculated by Arlequin 3.5.1.2. A multivariate analysis of the data was obtained through a principal component analysis (PCA) and hierarchical cluster analysis (HCA) performed with SPSS 8.0. Results: the most frequent allelic group was HLA-A*02, followed by -DRB1*13, -DRB1*04, -DRB1*07, -B*44, -B*35, -A*24 and -DRB1*01. Of the 2,701 haplotypes observed, the three most frequent were HLA-A*01 B*08 DRB1*03 (1.62%), -A*29 B*44 DRB1*07 (1.56%) and -A*02 B*44 DRB1*04 (1.29%). These haplotypes were in linkage disequilibrium. RN allele and haplotype frequencies were very similar to those in other Brazilian states in which similar studies have been performed. The PCA revealed that RN is highly genetically similar to Caucasian populations, especially those from Iberian countries, which strongly influenced the state’s ethnic composition. Africans and Amerindians also influenced the RN population structure, to a lesser extent. Conclusion: the HCA reinforced the conclusion that, despite its highly admixed profile, the RN population is genetically similar to European and European-descended populations. The PCA also showed that RN cities do not contribute to the same extent to REDOME, with less populous cities being underrepresented, indicating the need to enroll more VBMD from these smaller cities to faithfully depict the state’s population structure in the database. Associação Médica Brasileira2015-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-42302015000100010Revista da Associação Médica Brasileira v.61 n.1 2015reponame:Revista da Associação Médica Brasileira (Online)instname:Associação Médica Brasileira (AMB)instacron:AMB10.1590/1806-9282.61.01.023info:eu-repo/semantics/openAccessMacêdo,Marina BarguilTsuneto,Luiza TamieTeixeira,Rosemary Almeida de OliveiraOliveira,Maria do Socorro Belarmino deMoita Neto,José MachadoSilva,Adalberto Socorro daSousa,Luiz Cláudio Demes da MataCarvalho,Marayza GomesSales,Herton Luiz AlvesBarroso,José Renato Pereira de MouraAraújo,Anaregina de SousaMonte,Semiramis Jamil Hadad doeng2015-07-27T00:00:00Zoai:scielo:S0104-42302015000100010Revistahttps://ramb.amb.org.br/ultimas-edicoes/#https://old.scielo.br/oai/scielo-oai.php||ramb@amb.org.br1806-92820104-4230opendoar:2015-07-27T00:00Revista da Associação Médica Brasileira (Online) - Associação Médica Brasileira (AMB)false |
dc.title.none.fl_str_mv |
Rio Grande do Norte, Brazil, voluntary bone marrow donors registry analysis |
title |
Rio Grande do Norte, Brazil, voluntary bone marrow donors registry analysis |
spellingShingle |
Rio Grande do Norte, Brazil, voluntary bone marrow donors registry analysis Macêdo,Marina Barguil HLA antigens transplantation bone marrow Brazil |
title_short |
Rio Grande do Norte, Brazil, voluntary bone marrow donors registry analysis |
title_full |
Rio Grande do Norte, Brazil, voluntary bone marrow donors registry analysis |
title_fullStr |
Rio Grande do Norte, Brazil, voluntary bone marrow donors registry analysis |
title_full_unstemmed |
Rio Grande do Norte, Brazil, voluntary bone marrow donors registry analysis |
title_sort |
Rio Grande do Norte, Brazil, voluntary bone marrow donors registry analysis |
author |
Macêdo,Marina Barguil |
author_facet |
Macêdo,Marina Barguil Tsuneto,Luiza Tamie Teixeira,Rosemary Almeida de Oliveira Oliveira,Maria do Socorro Belarmino de Moita Neto,José Machado Silva,Adalberto Socorro da Sousa,Luiz Cláudio Demes da Mata Carvalho,Marayza Gomes Sales,Herton Luiz Alves Barroso,José Renato Pereira de Moura Araújo,Anaregina de Sousa Monte,Semiramis Jamil Hadad do |
author_role |
author |
author2 |
Tsuneto,Luiza Tamie Teixeira,Rosemary Almeida de Oliveira Oliveira,Maria do Socorro Belarmino de Moita Neto,José Machado Silva,Adalberto Socorro da Sousa,Luiz Cláudio Demes da Mata Carvalho,Marayza Gomes Sales,Herton Luiz Alves Barroso,José Renato Pereira de Moura Araújo,Anaregina de Sousa Monte,Semiramis Jamil Hadad do |
author2_role |
author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Macêdo,Marina Barguil Tsuneto,Luiza Tamie Teixeira,Rosemary Almeida de Oliveira Oliveira,Maria do Socorro Belarmino de Moita Neto,José Machado Silva,Adalberto Socorro da Sousa,Luiz Cláudio Demes da Mata Carvalho,Marayza Gomes Sales,Herton Luiz Alves Barroso,José Renato Pereira de Moura Araújo,Anaregina de Sousa Monte,Semiramis Jamil Hadad do |
dc.subject.por.fl_str_mv |
HLA antigens transplantation bone marrow Brazil |
topic |
HLA antigens transplantation bone marrow Brazil |
description |
Objective: this study aimed to report the allele and haplotype frequencies of volunteer bone marrow donors (VBMD) from the state of Rio Grande do Norte (RN) who were enrolled in the Brazilian Volunteer Bone Marrow Donor Registry (REDOME). Methods: the sample comprised 12,973 VBMD who had their allele and haplotype frequencies calculated by Arlequin 3.5.1.2. A multivariate analysis of the data was obtained through a principal component analysis (PCA) and hierarchical cluster analysis (HCA) performed with SPSS 8.0. Results: the most frequent allelic group was HLA-A*02, followed by -DRB1*13, -DRB1*04, -DRB1*07, -B*44, -B*35, -A*24 and -DRB1*01. Of the 2,701 haplotypes observed, the three most frequent were HLA-A*01 B*08 DRB1*03 (1.62%), -A*29 B*44 DRB1*07 (1.56%) and -A*02 B*44 DRB1*04 (1.29%). These haplotypes were in linkage disequilibrium. RN allele and haplotype frequencies were very similar to those in other Brazilian states in which similar studies have been performed. The PCA revealed that RN is highly genetically similar to Caucasian populations, especially those from Iberian countries, which strongly influenced the state’s ethnic composition. Africans and Amerindians also influenced the RN population structure, to a lesser extent. Conclusion: the HCA reinforced the conclusion that, despite its highly admixed profile, the RN population is genetically similar to European and European-descended populations. The PCA also showed that RN cities do not contribute to the same extent to REDOME, with less populous cities being underrepresented, indicating the need to enroll more VBMD from these smaller cities to faithfully depict the state’s population structure in the database. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-02-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-42302015000100010 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-42302015000100010 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1806-9282.61.01.023 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Associação Médica Brasileira |
publisher.none.fl_str_mv |
Associação Médica Brasileira |
dc.source.none.fl_str_mv |
Revista da Associação Médica Brasileira v.61 n.1 2015 reponame:Revista da Associação Médica Brasileira (Online) instname:Associação Médica Brasileira (AMB) instacron:AMB |
instname_str |
Associação Médica Brasileira (AMB) |
instacron_str |
AMB |
institution |
AMB |
reponame_str |
Revista da Associação Médica Brasileira (Online) |
collection |
Revista da Associação Médica Brasileira (Online) |
repository.name.fl_str_mv |
Revista da Associação Médica Brasileira (Online) - Associação Médica Brasileira (AMB) |
repository.mail.fl_str_mv |
||ramb@amb.org.br |
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1754212831477104640 |