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SELAdb: A database of exonic variants in a Brazilian population referred to a quaternary medical center in São Paulo
Lerario, Antonio Marcondes; Mohan, Dipika R; Montenegro, Luciana Ribeiro; Funari, Mariana Ferreira de Assis; Nishi, Mirian Yumie; Narcizo, Amanda de Moraes; Benedetti, Anna Flavia Figueredo; Oba-Shinjo, Sueli Mieko; Vitorino, Aurélio José; Santos, Rogério Alexandre Scripnic Xavier dos; Jorge, Alexander Augusto de Lima; Onuchic, Luiz Fernando; Marie, Suely Kazue Nagahashi; Mendonca, Berenice Bilharinho.
Affiliation
  • Lerario, Antonio Marcondes; Universidade de Sao Paulo. Hospital das Clinicas. Departamento de Clinica Medica, LIM/42. Sao Paulo. BR
  • Mohan, Dipika R; University of Michigan. Medical Scientist Training Program. Ann Arbor. US
  • Montenegro, Luciana Ribeiro; Universidade de Sao Paulo. Hospital das Clinicas. Departamento de Clinica Medica, LIM/42. Sao Paulo. BR
  • Funari, Mariana Ferreira de Assis; Universidade de Sao Paulo. Hospital das Clinicas. Departamento de Clinica Medica, LIM/42. Sao Paulo. BR
  • Nishi, Mirian Yumie; Universidade de Sao Paulo. Hospital das Clinicas HCFMUSP. Departamento de Clinica Medica, LIM/42. Sao Paulo. BR
  • Narcizo, Amanda de Moraes; Universidade de Sao Paulo. Faculdade de Medicina FMUSP. Laboratorio de Sequenciamento em Larga Escala (SELA). Sao Paulo. BR
  • Benedetti, Anna Flavia Figueredo; Universidade de Sao Paulo. Faculdade de Medicina FMUSP. Laboratorio de Sequenciamento em Larga Escala (SELA). Sao Paulo. BR
  • Oba-Shinjo, Sueli Mieko; Universidade de Sao Paulo. Faculdade de Medicina FMUSP. Laboratorio de Biologia Molecular e Celular, LIM/15. Sao Paulo. BR
  • Vitorino, Aurélio José; Universidade de Sao Paulo. Faculdade de Medicina FMUSP. Laboratorio de Informatica Medica - LIM/01. Sao Paulo. BR
  • Santos, Rogério Alexandre Scripnic Xavier dos; Universidade de Sao Paulo. Faculdade de Medicina FMUSP. Laboratorio de Informatica Medica - LIM/01. Sao Paulo. BR
  • Jorge, Alexander Augusto de Lima; Universidade de Sao Paulo. Hospital das Clinicas. Departamento de Clinica Medica, LIM/42. Sao Paulo. BR
  • Onuchic, Luiz Fernando; Universidade de Sao Paulo. Faculdade de Medicina FMUSP. Departamento de Clinica Medica. Sao Paulo. BR
  • Marie, Suely Kazue Nagahashi; Universidade de Sao Paulo. Faculdade de Medicina FMUSP. Departamento de Neurologia. Sao Paulo. BR
  • Mendonca, Berenice Bilharinho; Universidade de Sao Paulo. Hospital das Clinicas. Departamento de Clinica Medica, LIM/42. Sao Paulo. BR
Clinics ; 75: e1913, 2020. tab, graf
Article in English | LILACS | ID: biblio-1133412
Responsible library: BR1.1
ABSTRACT

OBJECTIVES:

High-throughput sequencing of genomes, exomes, and disease-focused gene panels is becoming increasingly common for molecular diagnostics. However, identifying a single clinically relevant pathogenic variant among thousands of genetic polymorphisms is a challenging task. Publicly available genomic databases are useful resources to filter out common genetic variants present in the population and enable the identification of each disease-causing variant. Based on our experience applying these technologies at Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo, Brazil, we recognized that the Brazilian population is not adequately represented in widely available genomic databases.

METHODS:

Here, we took advantage of our 5-year experience as a high-throughput sequencing core facility focused on individuals with putative genetic disorders to build a genomic database that may serve as a more accurate reference for our patient population SELAdb. RESULTS/

CONCLUSIONS:

Currently, our database comprises a final cohort of 523 unrelated individuals, including patients or family members managed by different clinics of HCFMUSP. We compared SELAdb with other publicly available genomic databases and demonstrated that this population is very heterogeneous, largely resembling Latin American individuals of mixed origin, rather than individuals of pure European ancestry. Interestingly, exclusively through SELAdb, we identified a spectrum of known and potentially novel pathogenic variants in genes associated with highly penetrant Mendelian disorders, illustrating that pathogenic variants circulating in the Brazilian population that is treated in our clinics are underrepresented in other population databases. SELAdb is freely available for public consultation at http//intranet.fm.usp.br/sela
Subject(s)


Full text: Available Collection: International databases Database: LILACS Main subject: Genomics / Databases, Genetic Type of study: Etiology study / Incidence study / Observational study / Prognostic study / Risk factors Limits: Humans Country/Region as subject: South America / Brazil Language: English Journal: Clinics Journal subject: Medicine Year: 2020 Document type: Article Affiliation country: Brazil / United States Institution/Affiliation country: Universidade de Sao Paulo/BR / University of Michigan/US

Full text: Available Collection: International databases Database: LILACS Main subject: Genomics / Databases, Genetic Type of study: Etiology study / Incidence study / Observational study / Prognostic study / Risk factors Limits: Humans Country/Region as subject: South America / Brazil Language: English Journal: Clinics Journal subject: Medicine Year: 2020 Document type: Article Affiliation country: Brazil / United States Institution/Affiliation country: Universidade de Sao Paulo/BR / University of Michigan/US
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