Targeted massively parallel sequencing panel to diagnose genetic endocrine disorders in a tertiary hospital
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Clinics |
Texto Completo: | https://www.revistas.usp.br/clinics/article/view/213576 |
Resumo: | Objectives: To analyze the efficiency of a multigenic targeted massively parallel sequencing panel related to endocrine disorders for molecular diagnosis of patients assisted in a tertiary hospital involved in the training of medical faculty. Material and methods: Retrospective analysis of the clinical diagnosis and genotype obtained from 272 patients in the Endocrine unit of a tertiary hospital was performed using a custom panel designed with 653 genes, most of them already associated with the phenotype (OMIM) and some candidate genes that englobes developmental, metabolic and adrenal diseases. The enriched DNA libraries were sequenced in NextSeq 500. Variants found were then classified according to ACMG/AMP criteria, with Varsome and InterVar. Results: Three runs were performed; the mean coverage depth of the targeted regions in panel sequencing data was 249×, with at least 96.3% of the sequenced bases being covered more than 20-fold. The authors identified 66 LP/P variants (24%) and 27 VUS (10%). Considering the solved cases, 49 have developmental diseases, 12 have metabolic and 5 have adrenal diseases. Conclusion: The application of a multigenic panel aids the training of medical faculty in an academic hospital by showing the picture of the molecular pathways behind each disorder. This may be particularly helpful in developmental disease cases. A precise genetic etiology provides an improvement in understanding the disease, guides decisions about prevention or treatment, and allows genetic counseling. |
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Clinics |
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Targeted massively parallel sequencing panel to diagnose genetic endocrine disorders in a tertiary hospitalMultigenic custom panelEndocrine disorders diagnosticObjectives: To analyze the efficiency of a multigenic targeted massively parallel sequencing panel related to endocrine disorders for molecular diagnosis of patients assisted in a tertiary hospital involved in the training of medical faculty. Material and methods: Retrospective analysis of the clinical diagnosis and genotype obtained from 272 patients in the Endocrine unit of a tertiary hospital was performed using a custom panel designed with 653 genes, most of them already associated with the phenotype (OMIM) and some candidate genes that englobes developmental, metabolic and adrenal diseases. The enriched DNA libraries were sequenced in NextSeq 500. Variants found were then classified according to ACMG/AMP criteria, with Varsome and InterVar. Results: Three runs were performed; the mean coverage depth of the targeted regions in panel sequencing data was 249×, with at least 96.3% of the sequenced bases being covered more than 20-fold. The authors identified 66 LP/P variants (24%) and 27 VUS (10%). Considering the solved cases, 49 have developmental diseases, 12 have metabolic and 5 have adrenal diseases. Conclusion: The application of a multigenic panel aids the training of medical faculty in an academic hospital by showing the picture of the molecular pathways behind each disorder. This may be particularly helpful in developmental disease cases. A precise genetic etiology provides an improvement in understanding the disease, guides decisions about prevention or treatment, and allows genetic counseling.Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo2022-10-23info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/clinics/article/view/21357610.1016/j.clinsp.2022.100132Clinics; Vol. 77 (2022); 100132Clinics; v. 77 (2022); 100132Clinics; Vol. 77 (2022); 1001321980-53221807-5932reponame:Clinicsinstname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/clinics/article/view/213576/195653Copyright (c) 2023 Clinicsinfo:eu-repo/semantics/openAccessNarcizo, Amanda M.Cardoso, Lais C.Benedetti, Anna F.F.Jorge, Alexander A.L.Funari, Mariana F.A.Braga, Barbara L.Franca, Monica M.Montenegro, Luciana R.Lerario, Antonio M.Nishi, Mirian Y.Mendonca, Berenice B.2023-07-06T13:04:59Zoai:revistas.usp.br:article/213576Revistahttps://www.revistas.usp.br/clinicsPUBhttps://www.revistas.usp.br/clinics/oai||clinics@hc.fm.usp.br1980-53221807-5932opendoar:2023-07-06T13:04:59Clinics - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Targeted massively parallel sequencing panel to diagnose genetic endocrine disorders in a tertiary hospital |
title |
Targeted massively parallel sequencing panel to diagnose genetic endocrine disorders in a tertiary hospital |
spellingShingle |
Targeted massively parallel sequencing panel to diagnose genetic endocrine disorders in a tertiary hospital Narcizo, Amanda M. Multigenic custom panel Endocrine disorders diagnostic |
title_short |
Targeted massively parallel sequencing panel to diagnose genetic endocrine disorders in a tertiary hospital |
title_full |
Targeted massively parallel sequencing panel to diagnose genetic endocrine disorders in a tertiary hospital |
title_fullStr |
Targeted massively parallel sequencing panel to diagnose genetic endocrine disorders in a tertiary hospital |
title_full_unstemmed |
Targeted massively parallel sequencing panel to diagnose genetic endocrine disorders in a tertiary hospital |
title_sort |
Targeted massively parallel sequencing panel to diagnose genetic endocrine disorders in a tertiary hospital |
author |
Narcizo, Amanda M. |
author_facet |
Narcizo, Amanda M. Cardoso, Lais C. Benedetti, Anna F.F. Jorge, Alexander A.L. Funari, Mariana F.A. Braga, Barbara L. Franca, Monica M. Montenegro, Luciana R. Lerario, Antonio M. Nishi, Mirian Y. Mendonca, Berenice B. |
author_role |
author |
author2 |
Cardoso, Lais C. Benedetti, Anna F.F. Jorge, Alexander A.L. Funari, Mariana F.A. Braga, Barbara L. Franca, Monica M. Montenegro, Luciana R. Lerario, Antonio M. Nishi, Mirian Y. Mendonca, Berenice B. |
author2_role |
author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Narcizo, Amanda M. Cardoso, Lais C. Benedetti, Anna F.F. Jorge, Alexander A.L. Funari, Mariana F.A. Braga, Barbara L. Franca, Monica M. Montenegro, Luciana R. Lerario, Antonio M. Nishi, Mirian Y. Mendonca, Berenice B. |
dc.subject.por.fl_str_mv |
Multigenic custom panel Endocrine disorders diagnostic |
topic |
Multigenic custom panel Endocrine disorders diagnostic |
description |
Objectives: To analyze the efficiency of a multigenic targeted massively parallel sequencing panel related to endocrine disorders for molecular diagnosis of patients assisted in a tertiary hospital involved in the training of medical faculty. Material and methods: Retrospective analysis of the clinical diagnosis and genotype obtained from 272 patients in the Endocrine unit of a tertiary hospital was performed using a custom panel designed with 653 genes, most of them already associated with the phenotype (OMIM) and some candidate genes that englobes developmental, metabolic and adrenal diseases. The enriched DNA libraries were sequenced in NextSeq 500. Variants found were then classified according to ACMG/AMP criteria, with Varsome and InterVar. Results: Three runs were performed; the mean coverage depth of the targeted regions in panel sequencing data was 249×, with at least 96.3% of the sequenced bases being covered more than 20-fold. The authors identified 66 LP/P variants (24%) and 27 VUS (10%). Considering the solved cases, 49 have developmental diseases, 12 have metabolic and 5 have adrenal diseases. Conclusion: The application of a multigenic panel aids the training of medical faculty in an academic hospital by showing the picture of the molecular pathways behind each disorder. This may be particularly helpful in developmental disease cases. A precise genetic etiology provides an improvement in understanding the disease, guides decisions about prevention or treatment, and allows genetic counseling. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-10-23 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.revistas.usp.br/clinics/article/view/213576 10.1016/j.clinsp.2022.100132 |
url |
https://www.revistas.usp.br/clinics/article/view/213576 |
identifier_str_mv |
10.1016/j.clinsp.2022.100132 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.revistas.usp.br/clinics/article/view/213576/195653 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2023 Clinics info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2023 Clinics |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo |
publisher.none.fl_str_mv |
Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo |
dc.source.none.fl_str_mv |
Clinics; Vol. 77 (2022); 100132 Clinics; v. 77 (2022); 100132 Clinics; Vol. 77 (2022); 100132 1980-5322 1807-5932 reponame:Clinics instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Clinics |
collection |
Clinics |
repository.name.fl_str_mv |
Clinics - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
||clinics@hc.fm.usp.br |
_version_ |
1800222767007662080 |