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An invincible memory: what surname analysis tells us about history, health and population medical genetics in the Brazilian Northeast.
Cardoso-Dos-Santos, Augusto César; Ramallo, Virginia; Zagonel-Oliveira, Marcelo; Veronez, Maurício Roberto; Navarro, Pablo; Monlleó, Isabella L; Valiati, Victor Hugo; Dipierri, José Edgardo; Schuler-Faccini, Lavinia.
Afiliação
  • Cardoso-Dos-Santos AC; Genetics Department, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
  • Ramallo V; INAGEMP - Instituto Nacional de Genética Médica Populacional, Medical Genetics Service, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
  • Zagonel-Oliveira M; Patagonian Institute of Social and Human Sciences (CCT CENPAT-CONICET), Puerto Madryn, Argentina.
  • Veronez MR; Universidade do Vale do Rio dos Sinos, São Leopoldo, Brazil.
  • Navarro P; Universidade do Vale do Rio dos Sinos, São Leopoldo, Brazil.
  • Monlleó IL; Patagonian Institute of Social and Human Sciences (CCT CENPAT-CONICET), Puerto Madryn, Argentina.
  • Valiati VH; Medical Genetics Service, Faculty of Medicine, Hospital Universitário Professor Alberto Antunes, Universidade Federal de Alagoas, Maceió, Brazil.
  • Dipierri JE; Universidade do Vale do Rio dos Sinos, São Leopoldo, Brazil.
  • Schuler-Faccini L; Institute of Andean Ecoregions (INECOA, CONICET-UNJu), San Salvador de Jujuy, Argentina.
J Biosoc Sci ; 53(2): 183-198, 2021 03.
Article em En | MEDLINE | ID: mdl-32172699
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Genética Médica / Genética Populacional / Nomes Tipo de estudo: Prognostic_studies Limite: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged País como assunto: America do sul / Brasil Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Genética Médica / Genética Populacional / Nomes Tipo de estudo: Prognostic_studies Limite: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged País como assunto: America do sul / Brasil Idioma: En Ano de publicação: 2021 Tipo de documento: Article