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Exomic variants of an elderly cohort of Brazilians in the ABraOM database.
Naslavsky, Michel Satya; Yamamoto, Guilherme Lopes; de Almeida, Tatiana Ferreira; Ezquina, Suzana A M; Sunaga, Daniele Yumi; Pho, Nam; Bozoklian, Daniel; Sandberg, Tatiana Orli Milkewitz; Brito, Luciano Abreu; Lazar, Monize; Bernardo, Danilo Vicensotto; Amaro, Edson; Duarte, Yeda A O; Lebrão, Maria Lúcia; Passos-Bueno, Maria Rita; Zatz, Mayana.
Afiliação
  • Naslavsky MS; Human Genome and Stem Cell Research Center, Biosciences Institute, University of São Paulo, São Paulo, Brazil.
  • Yamamoto GL; Hospital Israelita Albert Einstein, São Paulo, Brazil.
  • de Almeida TF; Human Genome and Stem Cell Research Center, Biosciences Institute, University of São Paulo, São Paulo, Brazil.
  • Ezquina SAM; Department of Clinical Genetics, Children's Hospital, Medical School, University of São Paulo, São Paulo, Brazil.
  • Sunaga DY; Human Genome and Stem Cell Research Center, Biosciences Institute, University of São Paulo, São Paulo, Brazil.
  • Pho N; Human Genome and Stem Cell Research Center, Biosciences Institute, University of São Paulo, São Paulo, Brazil.
  • Bozoklian D; Human Genome and Stem Cell Research Center, Biosciences Institute, University of São Paulo, São Paulo, Brazil.
  • Sandberg TOM; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts.
  • Brito LA; Human Genome and Stem Cell Research Center, Biosciences Institute, University of São Paulo, São Paulo, Brazil.
  • Lazar M; Human Genome and Stem Cell Research Center, Biosciences Institute, University of São Paulo, São Paulo, Brazil.
  • Bernardo DV; Human Genome and Stem Cell Research Center, Biosciences Institute, University of São Paulo, São Paulo, Brazil.
  • Amaro E; Human Genome and Stem Cell Research Center, Biosciences Institute, University of São Paulo, São Paulo, Brazil.
  • Duarte YAO; Laboratório de Estudos em Antropologia Biológica, Bioarqueologia e Evolução Humana, Instituto de Ciências Humanas e da Informação, Universidade Federal do Rio Grande, Rio Grande, Rio Grande de Sul, Brazil.
  • Lebrão ML; Hospital Israelita Albert Einstein, São Paulo, Brazil.
  • Passos-Bueno MR; Radiology Institute, Medical School, University of São Paulo, São Paulo, Brazil.
  • Zatz M; Department of Epidemiology, Public Health School, University of São Paulo, São Paulo, Brazil.
Hum Mutat ; 38(7): 751-763, 2017 07.
Article em En | MEDLINE | ID: mdl-28332257
Brazilians are highly admixed with ancestry from Europe, Africa, America, and Asia and yet still underrepresented in genomic databanks. We hereby present a collection of exomic variants from 609 elderly Brazilians in a census-based cohort (SABE609) with comprehensive phenotyping. Variants were deposited in ABraOM (Online Archive of Brazilian Mutations), a Web-based public database. Population representative phenotype and genotype repositories are essential for variant interpretation through allele frequency filtering; since elderly individuals are less likely to harbor pathogenic mutations for early- and adult-onset diseases, such variant databases are of great interest. Among the over 2.3 million variants from the present cohort, 1,282,008 were high-confidence calls. Importantly, 207,621 variants were absent from major public databases. We found 9,791 potential loss-of-function variants with about 300 mutations per individual. Pathogenic variants on clinically relevant genes (ACMG) were observed in 1.15% of the individuals and were correlated with clinical phenotype. We conducted incidence estimation for prevalent recessive disorders based upon heterozygous frequency and concluded that it relies on appropriate pathogenicity assertion. These observations illustrate the relevance of collecting demographic data from diverse, poorly characterized populations. Census-based datasets of aged individuals with comprehensive phenotyping are an invaluable resource toward the improved understanding of variant pathogenicity.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Aged80 / Female / Humans / Male / Middle aged País/Região como assunto: America do sul / Brasil Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Aged80 / Female / Humans / Male / Middle aged País/Região como assunto: America do sul / Brasil Idioma: En Ano de publicação: 2017 Tipo de documento: Article