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SELAdb: A database of exonic variants in a Brazilian population referred to a quaternary medical center in São Paulo

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 availabl...

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Autores principales: 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, dos Santos, Rogério Alexandre Scripnic Xavier, Jorge, Alexander Augusto de Lima, Onuchic, Luiz Fernando, Marie, Suely Kazue Nagahashi, Mendonca, Berenice Bilharinho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Faculdade de Medicina / USP 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7410354/
https://www.ncbi.nlm.nih.gov/pubmed/32785571
http://dx.doi.org/10.6061/clinics/2020/e1913
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author 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
dos Santos, Rogério Alexandre Scripnic Xavier
Jorge, Alexander Augusto de Lima
Onuchic, Luiz Fernando
Marie, Suely Kazue Nagahashi
Mendonca, Berenice Bilharinho
author_facet 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
dos Santos, Rogério Alexandre Scripnic Xavier
Jorge, Alexander Augusto de Lima
Onuchic, Luiz Fernando
Marie, Suely Kazue Nagahashi
Mendonca, Berenice Bilharinho
author_sort Lerario, Antonio Marcondes
collection PubMed
description 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
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spelling pubmed-74103542020-08-25 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 dos Santos, Rogério Alexandre Scripnic Xavier Jorge, Alexander Augusto de Lima Onuchic, Luiz Fernando Marie, Suely Kazue Nagahashi Mendonca, Berenice Bilharinho Clinics (Sao Paulo) Original Article 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 Faculdade de Medicina / USP 2020-08-06 2020 /pmc/articles/PMC7410354/ /pubmed/32785571 http://dx.doi.org/10.6061/clinics/2020/e1913 Text en Copyright © 2020 CLINICS http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium or format, provided the original work is properly cited.
spellingShingle Original Article
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
dos Santos, Rogério Alexandre Scripnic Xavier
Jorge, Alexander Augusto de Lima
Onuchic, Luiz Fernando
Marie, Suely Kazue Nagahashi
Mendonca, Berenice Bilharinho
SELAdb: A database of exonic variants in a Brazilian population referred to a quaternary medical center in São Paulo
title SELAdb: A database of exonic variants in a Brazilian population referred to a quaternary medical center in São Paulo
title_full SELAdb: A database of exonic variants in a Brazilian population referred to a quaternary medical center in São Paulo
title_fullStr SELAdb: A database of exonic variants in a Brazilian population referred to a quaternary medical center in São Paulo
title_full_unstemmed SELAdb: A database of exonic variants in a Brazilian population referred to a quaternary medical center in São Paulo
title_short SELAdb: A database of exonic variants in a Brazilian population referred to a quaternary medical center in São Paulo
title_sort seladb: a database of exonic variants in a brazilian population referred to a quaternary medical center in são paulo
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7410354/
https://www.ncbi.nlm.nih.gov/pubmed/32785571
http://dx.doi.org/10.6061/clinics/2020/e1913
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