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dc.contributor.author
Cardoso-dos-Santos, Augusto César
dc.contributor.author
Ramallo, Virginia
dc.contributor.author
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
dc.contributor.author
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
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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
dc.description.fil
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
dc.description.fil
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
dc.description.fil
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
dc.description.fil
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
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