Cargando…
Candidate-gene criteria for clinical reporting: diagnostic exome sequencing identifies altered candidate genes among 8% of patients with undiagnosed diseases
PURPOSE: Diagnostic exome sequencing (DES) is now a commonly ordered test for individuals with undiagnosed genetic disorders. In addition to providing a diagnosis for characterized diseases, exome sequencing has the capacity to uncover novel candidate genes for disease. METHODS: Family-based DES inc...
Autores principales: | , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5303763/ https://www.ncbi.nlm.nih.gov/pubmed/27513193 http://dx.doi.org/10.1038/gim.2016.95 |
_version_ | 1782506754411593728 |
---|---|
author | Farwell Hagman, Kelly D. Shinde, Deepali N. Mroske, Cameron Smith, Erica Radtke, Kelly Shahmirzadi, Layla El-Khechen, Dima Powis, Zöe Chao, Elizabeth C. Alcaraz, Wendy A. Helbig, Katherine L. Sajan, Samin A. Rossi, Mari Lu, Hsiao-Mei Huether, Robert Li, Shuwei Wu, Sitao Nuñes, Mark E. Tang, Sha |
author_facet | Farwell Hagman, Kelly D. Shinde, Deepali N. Mroske, Cameron Smith, Erica Radtke, Kelly Shahmirzadi, Layla El-Khechen, Dima Powis, Zöe Chao, Elizabeth C. Alcaraz, Wendy A. Helbig, Katherine L. Sajan, Samin A. Rossi, Mari Lu, Hsiao-Mei Huether, Robert Li, Shuwei Wu, Sitao Nuñes, Mark E. Tang, Sha |
author_sort | Farwell Hagman, Kelly D. |
collection | PubMed |
description | PURPOSE: Diagnostic exome sequencing (DES) is now a commonly ordered test for individuals with undiagnosed genetic disorders. In addition to providing a diagnosis for characterized diseases, exome sequencing has the capacity to uncover novel candidate genes for disease. METHODS: Family-based DES included analysis of both characterized and novel genetic etiologies. To evaluate candidate genes for disease in the clinical setting, we developed a systematic, rule-based classification schema. RESULTS: Testing identified a candidate gene among 7.7% (72/934) of patients referred for DES; 37 (4.0%) and 35 (3.7%) of the genes received evidence scores of “candidate” and “suspected candidate,” respectively. A total of 71 independent candidate genes were reported among the 72 patients, and 38% (27/71) were subsequently corroborated in the peer-reviewed literature. This rate of corroboration increased to 51.9% (27/52) among patients whose gene was reported at least 12 months previously. CONCLUSIONS: Herein, we provide transparent, comprehensive, and standardized scoring criteria for the clinical reporting of candidate genes. These results demonstrate that DES is an integral tool for genetic diagnosis, especially for elucidating the molecular basis for both characterized and novel candidate genetic etiologies. Gene discoveries also advance the understanding of normal human biology and more common diseases. Genet Med 19 2, 224–235. |
format | Online Article Text |
id | pubmed-5303763 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53037632017-02-27 Candidate-gene criteria for clinical reporting: diagnostic exome sequencing identifies altered candidate genes among 8% of patients with undiagnosed diseases Farwell Hagman, Kelly D. Shinde, Deepali N. Mroske, Cameron Smith, Erica Radtke, Kelly Shahmirzadi, Layla El-Khechen, Dima Powis, Zöe Chao, Elizabeth C. Alcaraz, Wendy A. Helbig, Katherine L. Sajan, Samin A. Rossi, Mari Lu, Hsiao-Mei Huether, Robert Li, Shuwei Wu, Sitao Nuñes, Mark E. Tang, Sha Genet Med Original Research Article PURPOSE: Diagnostic exome sequencing (DES) is now a commonly ordered test for individuals with undiagnosed genetic disorders. In addition to providing a diagnosis for characterized diseases, exome sequencing has the capacity to uncover novel candidate genes for disease. METHODS: Family-based DES included analysis of both characterized and novel genetic etiologies. To evaluate candidate genes for disease in the clinical setting, we developed a systematic, rule-based classification schema. RESULTS: Testing identified a candidate gene among 7.7% (72/934) of patients referred for DES; 37 (4.0%) and 35 (3.7%) of the genes received evidence scores of “candidate” and “suspected candidate,” respectively. A total of 71 independent candidate genes were reported among the 72 patients, and 38% (27/71) were subsequently corroborated in the peer-reviewed literature. This rate of corroboration increased to 51.9% (27/52) among patients whose gene was reported at least 12 months previously. CONCLUSIONS: Herein, we provide transparent, comprehensive, and standardized scoring criteria for the clinical reporting of candidate genes. These results demonstrate that DES is an integral tool for genetic diagnosis, especially for elucidating the molecular basis for both characterized and novel candidate genetic etiologies. Gene discoveries also advance the understanding of normal human biology and more common diseases. Genet Med 19 2, 224–235. Nature Publishing Group 2017-02 2016-08-11 /pmc/articles/PMC5303763/ /pubmed/27513193 http://dx.doi.org/10.1038/gim.2016.95 Text en Copyright © 2017 Official journal of the American College of Medical Genetics and Genomics http://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/ |
spellingShingle | Original Research Article Farwell Hagman, Kelly D. Shinde, Deepali N. Mroske, Cameron Smith, Erica Radtke, Kelly Shahmirzadi, Layla El-Khechen, Dima Powis, Zöe Chao, Elizabeth C. Alcaraz, Wendy A. Helbig, Katherine L. Sajan, Samin A. Rossi, Mari Lu, Hsiao-Mei Huether, Robert Li, Shuwei Wu, Sitao Nuñes, Mark E. Tang, Sha Candidate-gene criteria for clinical reporting: diagnostic exome sequencing identifies altered candidate genes among 8% of patients with undiagnosed diseases |
title | Candidate-gene criteria for clinical reporting: diagnostic exome sequencing identifies altered candidate genes among 8% of patients with undiagnosed diseases |
title_full | Candidate-gene criteria for clinical reporting: diagnostic exome sequencing identifies altered candidate genes among 8% of patients with undiagnosed diseases |
title_fullStr | Candidate-gene criteria for clinical reporting: diagnostic exome sequencing identifies altered candidate genes among 8% of patients with undiagnosed diseases |
title_full_unstemmed | Candidate-gene criteria for clinical reporting: diagnostic exome sequencing identifies altered candidate genes among 8% of patients with undiagnosed diseases |
title_short | Candidate-gene criteria for clinical reporting: diagnostic exome sequencing identifies altered candidate genes among 8% of patients with undiagnosed diseases |
title_sort | candidate-gene criteria for clinical reporting: diagnostic exome sequencing identifies altered candidate genes among 8% of patients with undiagnosed diseases |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5303763/ https://www.ncbi.nlm.nih.gov/pubmed/27513193 http://dx.doi.org/10.1038/gim.2016.95 |
work_keys_str_mv | AT farwellhagmankellyd candidategenecriteriaforclinicalreportingdiagnosticexomesequencingidentifiesalteredcandidategenesamong8ofpatientswithundiagnoseddiseases AT shindedeepalin candidategenecriteriaforclinicalreportingdiagnosticexomesequencingidentifiesalteredcandidategenesamong8ofpatientswithundiagnoseddiseases AT mroskecameron candidategenecriteriaforclinicalreportingdiagnosticexomesequencingidentifiesalteredcandidategenesamong8ofpatientswithundiagnoseddiseases AT smitherica candidategenecriteriaforclinicalreportingdiagnosticexomesequencingidentifiesalteredcandidategenesamong8ofpatientswithundiagnoseddiseases AT radtkekelly candidategenecriteriaforclinicalreportingdiagnosticexomesequencingidentifiesalteredcandidategenesamong8ofpatientswithundiagnoseddiseases AT shahmirzadilayla candidategenecriteriaforclinicalreportingdiagnosticexomesequencingidentifiesalteredcandidategenesamong8ofpatientswithundiagnoseddiseases AT elkhechendima candidategenecriteriaforclinicalreportingdiagnosticexomesequencingidentifiesalteredcandidategenesamong8ofpatientswithundiagnoseddiseases AT powiszoe candidategenecriteriaforclinicalreportingdiagnosticexomesequencingidentifiesalteredcandidategenesamong8ofpatientswithundiagnoseddiseases AT chaoelizabethc candidategenecriteriaforclinicalreportingdiagnosticexomesequencingidentifiesalteredcandidategenesamong8ofpatientswithundiagnoseddiseases AT alcarazwendya candidategenecriteriaforclinicalreportingdiagnosticexomesequencingidentifiesalteredcandidategenesamong8ofpatientswithundiagnoseddiseases AT helbigkatherinel candidategenecriteriaforclinicalreportingdiagnosticexomesequencingidentifiesalteredcandidategenesamong8ofpatientswithundiagnoseddiseases AT sajansamina candidategenecriteriaforclinicalreportingdiagnosticexomesequencingidentifiesalteredcandidategenesamong8ofpatientswithundiagnoseddiseases AT rossimari candidategenecriteriaforclinicalreportingdiagnosticexomesequencingidentifiesalteredcandidategenesamong8ofpatientswithundiagnoseddiseases AT luhsiaomei candidategenecriteriaforclinicalreportingdiagnosticexomesequencingidentifiesalteredcandidategenesamong8ofpatientswithundiagnoseddiseases AT huetherrobert candidategenecriteriaforclinicalreportingdiagnosticexomesequencingidentifiesalteredcandidategenesamong8ofpatientswithundiagnoseddiseases AT lishuwei candidategenecriteriaforclinicalreportingdiagnosticexomesequencingidentifiesalteredcandidategenesamong8ofpatientswithundiagnoseddiseases AT wusitao candidategenecriteriaforclinicalreportingdiagnosticexomesequencingidentifiesalteredcandidategenesamong8ofpatientswithundiagnoseddiseases AT nunesmarke candidategenecriteriaforclinicalreportingdiagnosticexomesequencingidentifiesalteredcandidategenesamong8ofpatientswithundiagnoseddiseases AT tangsha candidategenecriteriaforclinicalreportingdiagnosticexomesequencingidentifiesalteredcandidategenesamong8ofpatientswithundiagnoseddiseases |