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EPIGEN-Brazil Initiative resources: a Latin American imputation panel and the Scientific Workflow.
Magalhães, Wagner C S; Araujo, Nathalia M; Leal, Thiago P; Araujo, Gilderlanio S; Viriato, Paula J S; Kehdy, Fernanda S; Costa, Gustavo N; Barreto, Mauricio L; Horta, Bernardo L; Lima-Costa, Maria Fernanda; Pereira, Alexandre C; Tarazona-Santos, Eduardo; Rodrigues, Maíra R.
Afiliación
  • Magalhães WCS; Departamento de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, 31270-901, Brazil.
  • Araujo NM; Instituto Mario Penna, Núcleo de Ensino e Pesquisa, Belo Horizonte, Minas Gerais, 30380-472, Brazil.
  • Leal TP; Departamento de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, 31270-901, Brazil.
  • Araujo GS; Departamento de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, 31270-901, Brazil.
  • Viriato PJS; Departamento de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, 31270-901, Brazil.
  • Kehdy FS; Departamento de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, 31270-901, Brazil.
  • Costa GN; Departamento de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, 31270-901, Brazil.
  • Barreto ML; Laboratório de Hanseníase, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro, Rio de Janeiro, 21040-900, Brazil.
  • Horta BL; Instituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Bahia, 40110-040, Brazil.
  • Lima-Costa MF; Instituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Bahia, 40110-040, Brazil.
  • Pereira AC; Center for Data and Knowledge Integration for Health, Institute Gonçalo Muniz, Fundação Oswaldo Cruz, Salvador, Bahia, 40296-710, Brazil.
  • Tarazona-Santos E; Programa de Pós-Graduação em Epidemiologia, Universidade Federal de Pelotas, Pelotas, Rio Grande do Sul, 96020-220, Brazil.
  • Rodrigues MR; Instituto de Pesquisa Rene Rachou, Fundação Oswaldo Cruz, Belo Horizonte, Minas Gerais, 30190-009, Brazil.
Genome Res ; 28(7): 1090-1095, 2018 07.
Article en En | MEDLINE | ID: mdl-29903722
ABSTRACT
EPIGEN-Brazil is one of the largest Latin American initiatives at the interface of human genomics, public health, and computational biology. Here, we present two resources to address two challenges to the global dissemination of precision medicine and the development of the bioinformatics know-how to support it. To address the underrepresentation of non-European individuals in human genome diversity studies, we present the EPIGEN-5M+1KGP imputation panel-the fusion of the public 1000 Genomes Project (1KGP) Phase 3 imputation panel with haplotypes derived from the EPIGEN-5M data set (a product of the genotyping of 4.3 million SNPs in 265 admixed individuals from the EPIGEN-Brazil Initiative). When we imputed a target SNPs data set (6487 admixed individuals genotyped for 2.2 million SNPs from the EPIGEN-Brazil project) with the EPIGEN-5M+1KGP panel, we gained 140,452 more SNPs in total than when using the 1KGP Phase 3 panel alone and 788,873 additional high confidence SNPs (info score ≥ 0.8). Thus, the major effect of the inclusion of the EPIGEN-5M data set in this new imputation panel is not only to gain more SNPs but also to improve the quality of imputation. To address the lack of transparency and reproducibility of bioinformatics protocols, we present a conceptual Scientific Workflow in the form of a website that models the scientific process (by including publications, flowcharts, masterscripts, documents, and bioinformatics protocols), making it accessible and interactive. Its applicability is shown in the context of the development of our EPIGEN-5M+1KGP imputation panel. The Scientific Workflow also serves as a repository of bioinformatics resources.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Genoma Humano Tipo de estudio: Prognostic_studies Límite: Humans País/Región como asunto: America do sul / Brasil Idioma: En Revista: Genome Res Asunto de la revista: BIOLOGIA MOLECULAR / GENETICA Año: 2018 Tipo del documento: Article País de afiliación: Brasil

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Genoma Humano Tipo de estudio: Prognostic_studies Límite: Humans País/Región como asunto: America do sul / Brasil Idioma: En Revista: Genome Res Asunto de la revista: BIOLOGIA MOLECULAR / GENETICA Año: 2018 Tipo del documento: Article País de afiliación: Brasil