Literature DB >> 28332257

Exomic variants of an elderly cohort of Brazilians in the ABraOM database.

Michel Satya Naslavsky1,2, Guilherme Lopes Yamamoto1,3, Tatiana Ferreira de Almeida1, Suzana A M Ezquina1, Daniele Yumi Sunaga1, Nam Pho4, Daniel Bozoklian1, Tatiana Orli Milkewitz Sandberg1, Luciano Abreu Brito1, Monize Lazar1, Danilo Vicensotto Bernardo5, Edson Amaro2,6, Yeda A O Duarte7,8, Maria Lúcia Lebrão7, Maria Rita Passos-Bueno1, Mayana Zatz1.   

Abstract

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.
© 2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  admixture; aging; pathogenicity interpretation; population genetics; variant database

Mesh:

Year:  2017        PMID: 28332257     DOI: 10.1002/humu.23220

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  69 in total

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Journal:  Mol Biol Rep       Date:  2018-06-20       Impact factor: 2.316

4.  Frequency and Genetic Profile of Compound Heterozygous Friedreich's Ataxia Patients-the Brazilian Experience.

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Journal:  Cerebellum       Date:  2019-12       Impact factor: 3.847

5.  Fabry disease: GLA deletion alters a canonical splice site in a family with neuropsychiatric manifestations.

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6.  A novel complex neurological phenotype due to a homozygous mutation in FDX2.

Authors:  Juliana Gurgel-Giannetti; David S Lynch; Anderson Rodrigues Brandão de Paiva; Leandro Tavares Lucato; Guilherme Yamamoto; Christer Thomsen; Somsuvro Basu; Fernando Freua; Alexandre Varella Giannetti; Bruno Della Ripa de Assis; Mara Dell Ospedale Ribeiro; Isabella Barcelos; Katiane Sayão Souza; Fernanda Monti; Uirá Souto Melo; Simone Amorim; Leonardo G L Silva; Lúcia Inês Macedo-Souza; Angela M Vianna-Morgante; Michio Hirano; Marjo S Van der Knaap; Roland Lill; Mariz Vainzof; Anders Oldfors; Henry Houlden; Fernando Kok
Journal:  Brain       Date:  2018-08-01       Impact factor: 13.501

7.  A rare genomic duplication in 2p14 underlies autosomal dominant hearing loss DFNA58.

Authors:  Karina Lezirovitz; Gleiciele A Vieira-Silva; Ana C Batissoco; Débora Levy; Joao P Kitajima; Alix Trouillet; Ellen Ouyang; Navid Zebarjadi; Juliana Sampaio-Silva; Vinicius Pedroso-Campos; Larissa R Nascimento; Cindy Y Sonoda; Vinícius M Borges; Laura G Vasconcelos; Roberto M O Beck; Signe S Grasel; Daniel J Jagger; Nicolas Grillet; Ricardo F Bento; Regina C Mingroni-Netto; Jeanne Oiticica
Journal:  Hum Mol Genet       Date:  2020-06-03       Impact factor: 6.150

8.  HER2 Ile655Val polymorphism is negatively associated with breast cancer susceptibility.

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Review 9.  Isolated dystonia: clinical and genetic updates.

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Journal:  Neurology       Date:  2020-09-17       Impact factor: 9.910

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