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dc.contributor.author
Cardoso-dos-Santos, Augusto César  
dc.contributor.author
Ramallo, Virginia  
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Zagonel-Oliveira, Marcelo  
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Veronez, Maurício Roberto  
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Navarro, Jose Pablo  
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Monlleó, Isabella L.  
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Valiati, Victor Hugo  
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Dipierri, Jose Edgardo  
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Schuler-Faccini, Lavinia  
dc.date.available
2020-06-19T14:02:56Z  
dc.date.issued
2020-03  
dc.identifier.citation
Cardoso-dos-Santos, Augusto César; Ramallo, Virginia; Zagonel-Oliveira, Marcelo; Veronez, Maurício Roberto; Navarro, Jose Pablo; et al.; An invincible memory: what surname analysis tells us about history, health and population medical genetics in the Brazilian Northeast; Cambridge University Press; Journal Of Biosocial Science; 3-2020; 1-16  
dc.identifier.issn
0021-9320  
dc.identifier.uri
http://hdl.handle.net/11336/107683  
dc.description.abstract
Several studies have shown that the Brazilian Northeast is a region with high rates of inbreeding as well as a high incidence of autosomal recessive diseases. The elaboration of public health policies focused on the epidemiological surveillance of congenital anomalies and rare genetic diseases in this region is urgently needed. However, the vast territory, socio-demographic heterogeneity, economic difficulties and low number of professionals with expertise in medical genetics make strategic planning a challenging task. Surnames can be compared to a genetic system with multiple neutral alleles and allow some approximation of population structure. Here, surname analysis of more than 37 million people was combined with health and socio-demographic indicators covering all 1794 municipalities of the nine states of the region. The data distribution showed a heterogeneous spatial pattern (Global Moran Index, GMI = 0.58; p < 0.001), with higher isonymy rates in the east of the region and the highest rates in the Quilombo dos Palmares region - the largest conglomerate of escaped slaves in Latin America. A positive correlation was found between the isonymy index and the frequency of live births with congenital anomalies (r=0.268; p < 0.001), and the two indicators were spatially correlated (GMI = 0.50; p < 0.001). With this approach, quantitative information on the genetic structure of the Brazilian Northeast population was obtained, which may represent an economical and useful tool for decision-making in the medical field.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Cambridge University Press  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
POPULATION STRUCTURE  
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POPULATION MEDICAL GENETICS  
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GEOGRAPHIC DISTRIBUTION  
dc.subject.classification
Otras Ciencias Sociales  
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Otras Ciencias Sociales  
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CIENCIAS SOCIALES  
dc.title
An invincible memory: what surname analysis tells us about history, health and population medical genetics in the Brazilian Northeast  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2020-05-19T18:29:49Z  
dc.identifier.eissn
1469-7599  
dc.journal.pagination
1-16  
dc.journal.pais
Reino Unido  
dc.description.fil
Fil: Cardoso-dos-Santos, Augusto César. Universidade Federal do Rio Grande do Sul; Brasil. Hospital de Clínicas de Porto Alegre. Medical Genetics Service. Instituto Nacional de Genética Médica Populacional; Brasil  
dc.description.fil
Fil: Ramallo, Virginia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico de Ciencias Sociales y Humanas; Argentina  
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Fil: Zagonel-Oliveira, Marcelo. Universidade Do Vale Do Rio Dos Sinos.; Brasil  
dc.description.fil
Fil: Veronez, Maurício Roberto. Universidade Do Vale Do Rio Dos Sinos.; Brasil  
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Fil: Navarro, Jose Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico de Ciencias Sociales y Humanas; Argentina  
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Fil: Monlleó, Isabella L.. Universidade Federal de Alagoas; Brasil  
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Fil: Valiati, Victor Hugo. Universidade Do Vale Do Rio Dos Sinos.; Brasil  
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Fil: Dipierri, Jose Edgardo. Universidad Nacional de Jujuy. Instituto de Ecorregiones Andinas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Ecorregiones Andinas; Argentina  
dc.description.fil
Fil: Schuler-Faccini, Lavinia. Universidade Federal do Rio Grande do Sul; Brasil. Hospital de Clínicas de Porto Alegre. Medical Genetics Service. Instituto Nacional de Genética Médica Populacional; Brasil  
dc.journal.title
Journal Of Biosocial Science  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.cambridge.org/core/product/identifier/S0021932020000127/type/journal_article  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1017/S0021932020000127