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Splicing profile by capture RNA-seq identifies pathogenic germline variants in tumor suppressor genes
Germline variants in tumor suppressor genes (TSGs) can result in RNA mis-splicing and predisposition to cancer. However, identification of variants that impact splicing remains a challenge, contributing to a substantial proportion of patients with suspected hereditary cancer syndromes remaining with...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7039900/ https://www.ncbi.nlm.nih.gov/pubmed/32133419 http://dx.doi.org/10.1038/s41698-020-0109-y |
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author | Landrith, Tyler Li, Bing Cass, Ashley A. Conner, Blair R. LaDuca, Holly McKenna, Danielle B. Maxwell, Kara N. Domchek, Susan Morman, Nichole A. Heinlen, Christopher Wham, Deborah Koptiuch, Cathryn Vagher, Jennie Rivera, Ragene Bunnell, Ann Patel, Gayle Geurts, Jennifer L. Depas, Morgan M. Gaonkar, Shraddha Pirzadeh-Miller, Sara Krukenberg, Rebekah Seidel, Meredith Pilarski, Robert Farmer, Meagan Pyrtel, Khateriaa Milliron, Kara Lee, John Hoodfar, Elizabeth Nathan, Deepika Ganzak, Amanda C. Wu, Sitao Vuong, Huy Xu, Dong Arulmoli, Aarani Parra, Melissa Hoang, Lily Molparia, Bhuvan Fennessy, Michele Fox, Susanne Charpentier, Sinead Burdette, Julia Pesaran, Tina Profato, Jessica Smith, Brandon Haynes, Ginger Dalton, Emily Crandall, Joy Rae-Radecki Baxter, Ruth Lu, Hsiao-Mei Tippin-Davis, Brigette Elliott, Aaron Chao, Elizabeth Karam, Rachid |
author_facet | Landrith, Tyler Li, Bing Cass, Ashley A. Conner, Blair R. LaDuca, Holly McKenna, Danielle B. Maxwell, Kara N. Domchek, Susan Morman, Nichole A. Heinlen, Christopher Wham, Deborah Koptiuch, Cathryn Vagher, Jennie Rivera, Ragene Bunnell, Ann Patel, Gayle Geurts, Jennifer L. Depas, Morgan M. Gaonkar, Shraddha Pirzadeh-Miller, Sara Krukenberg, Rebekah Seidel, Meredith Pilarski, Robert Farmer, Meagan Pyrtel, Khateriaa Milliron, Kara Lee, John Hoodfar, Elizabeth Nathan, Deepika Ganzak, Amanda C. Wu, Sitao Vuong, Huy Xu, Dong Arulmoli, Aarani Parra, Melissa Hoang, Lily Molparia, Bhuvan Fennessy, Michele Fox, Susanne Charpentier, Sinead Burdette, Julia Pesaran, Tina Profato, Jessica Smith, Brandon Haynes, Ginger Dalton, Emily Crandall, Joy Rae-Radecki Baxter, Ruth Lu, Hsiao-Mei Tippin-Davis, Brigette Elliott, Aaron Chao, Elizabeth Karam, Rachid |
author_sort | Landrith, Tyler |
collection | PubMed |
description | Germline variants in tumor suppressor genes (TSGs) can result in RNA mis-splicing and predisposition to cancer. However, identification of variants that impact splicing remains a challenge, contributing to a substantial proportion of patients with suspected hereditary cancer syndromes remaining without a molecular diagnosis. To address this, we used capture RNA-sequencing (RNA-seq) to generate a splicing profile of 18 TSGs (APC, ATM, BRCA1, BRCA2, BRIP1, CDH1, CHEK2, MLH1, MSH2, MSH6, MUTYH, NF1, PALB2, PMS2, PTEN, RAD51C, RAD51D, and TP53) in 345 whole-blood samples from healthy donors. We subsequently demonstrated that this approach can detect mis-splicing by comparing splicing profiles from the control dataset to profiles generated from whole blood of individuals previously identified with pathogenic germline splicing variants in these genes. To assess the utility of our TSG splicing profile to prospectively identify pathogenic splicing variants, we performed concurrent capture DNA and RNA-seq in a cohort of 1000 patients with suspected hereditary cancer syndromes. This approach improved the diagnostic yield in this cohort, resulting in a 9.1% relative increase in the detection of pathogenic variants, demonstrating the utility of performing simultaneous DNA and RNA genetic testing in a clinical context. |
format | Online Article Text |
id | pubmed-7039900 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-70399002020-03-04 Splicing profile by capture RNA-seq identifies pathogenic germline variants in tumor suppressor genes Landrith, Tyler Li, Bing Cass, Ashley A. Conner, Blair R. LaDuca, Holly McKenna, Danielle B. Maxwell, Kara N. Domchek, Susan Morman, Nichole A. Heinlen, Christopher Wham, Deborah Koptiuch, Cathryn Vagher, Jennie Rivera, Ragene Bunnell, Ann Patel, Gayle Geurts, Jennifer L. Depas, Morgan M. Gaonkar, Shraddha Pirzadeh-Miller, Sara Krukenberg, Rebekah Seidel, Meredith Pilarski, Robert Farmer, Meagan Pyrtel, Khateriaa Milliron, Kara Lee, John Hoodfar, Elizabeth Nathan, Deepika Ganzak, Amanda C. Wu, Sitao Vuong, Huy Xu, Dong Arulmoli, Aarani Parra, Melissa Hoang, Lily Molparia, Bhuvan Fennessy, Michele Fox, Susanne Charpentier, Sinead Burdette, Julia Pesaran, Tina Profato, Jessica Smith, Brandon Haynes, Ginger Dalton, Emily Crandall, Joy Rae-Radecki Baxter, Ruth Lu, Hsiao-Mei Tippin-Davis, Brigette Elliott, Aaron Chao, Elizabeth Karam, Rachid NPJ Precis Oncol Article Germline variants in tumor suppressor genes (TSGs) can result in RNA mis-splicing and predisposition to cancer. However, identification of variants that impact splicing remains a challenge, contributing to a substantial proportion of patients with suspected hereditary cancer syndromes remaining without a molecular diagnosis. To address this, we used capture RNA-sequencing (RNA-seq) to generate a splicing profile of 18 TSGs (APC, ATM, BRCA1, BRCA2, BRIP1, CDH1, CHEK2, MLH1, MSH2, MSH6, MUTYH, NF1, PALB2, PMS2, PTEN, RAD51C, RAD51D, and TP53) in 345 whole-blood samples from healthy donors. We subsequently demonstrated that this approach can detect mis-splicing by comparing splicing profiles from the control dataset to profiles generated from whole blood of individuals previously identified with pathogenic germline splicing variants in these genes. To assess the utility of our TSG splicing profile to prospectively identify pathogenic splicing variants, we performed concurrent capture DNA and RNA-seq in a cohort of 1000 patients with suspected hereditary cancer syndromes. This approach improved the diagnostic yield in this cohort, resulting in a 9.1% relative increase in the detection of pathogenic variants, demonstrating the utility of performing simultaneous DNA and RNA genetic testing in a clinical context. Nature Publishing Group UK 2020-02-24 /pmc/articles/PMC7039900/ /pubmed/32133419 http://dx.doi.org/10.1038/s41698-020-0109-y Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Landrith, Tyler Li, Bing Cass, Ashley A. Conner, Blair R. LaDuca, Holly McKenna, Danielle B. Maxwell, Kara N. Domchek, Susan Morman, Nichole A. Heinlen, Christopher Wham, Deborah Koptiuch, Cathryn Vagher, Jennie Rivera, Ragene Bunnell, Ann Patel, Gayle Geurts, Jennifer L. Depas, Morgan M. Gaonkar, Shraddha Pirzadeh-Miller, Sara Krukenberg, Rebekah Seidel, Meredith Pilarski, Robert Farmer, Meagan Pyrtel, Khateriaa Milliron, Kara Lee, John Hoodfar, Elizabeth Nathan, Deepika Ganzak, Amanda C. Wu, Sitao Vuong, Huy Xu, Dong Arulmoli, Aarani Parra, Melissa Hoang, Lily Molparia, Bhuvan Fennessy, Michele Fox, Susanne Charpentier, Sinead Burdette, Julia Pesaran, Tina Profato, Jessica Smith, Brandon Haynes, Ginger Dalton, Emily Crandall, Joy Rae-Radecki Baxter, Ruth Lu, Hsiao-Mei Tippin-Davis, Brigette Elliott, Aaron Chao, Elizabeth Karam, Rachid Splicing profile by capture RNA-seq identifies pathogenic germline variants in tumor suppressor genes |
title | Splicing profile by capture RNA-seq identifies pathogenic germline variants in tumor suppressor genes |
title_full | Splicing profile by capture RNA-seq identifies pathogenic germline variants in tumor suppressor genes |
title_fullStr | Splicing profile by capture RNA-seq identifies pathogenic germline variants in tumor suppressor genes |
title_full_unstemmed | Splicing profile by capture RNA-seq identifies pathogenic germline variants in tumor suppressor genes |
title_short | Splicing profile by capture RNA-seq identifies pathogenic germline variants in tumor suppressor genes |
title_sort | splicing profile by capture rna-seq identifies pathogenic germline variants in tumor suppressor genes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7039900/ https://www.ncbi.nlm.nih.gov/pubmed/32133419 http://dx.doi.org/10.1038/s41698-020-0109-y |
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