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Analysis of transcript-deleterious variants in Mendelian disorders: implications for RNA-based diagnostics
BACKGROUND: At least 50% of patients with suspected Mendelian disorders remain undiagnosed after whole-exome sequencing (WES), and the extent to which non-coding variants that are not captured by WES contribute to this fraction is unclear. Whole transcriptome sequencing is a promising supplement to...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7298854/ https://www.ncbi.nlm.nih.gov/pubmed/32552793 http://dx.doi.org/10.1186/s13059-020-02053-9 |
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author | Maddirevula, Sateesh Kuwahara, Hiroyuki Ewida, Nour Shamseldin, Hanan E. Patel, Nisha Alzahrani, Fatema AlSheddi, Tarfa AlObeid, Eman Alenazi, Mona Alsaif, Hessa S. Alqahtani, Maha AlAli, Maha Al Ali, Hatoon Helaby, Rana Ibrahim, Niema Abdulwahab, Firdous Hashem, Mais Hanna, Nadine Monies, Dorota Derar, Nada Alsagheir, Afaf Alhashem, Amal Alsaleem, Badr Alhebbi, Hamoud Wali, Sami Umarov, Ramzan Gao, Xin Alkuraya, Fowzan S. |
author_facet | Maddirevula, Sateesh Kuwahara, Hiroyuki Ewida, Nour Shamseldin, Hanan E. Patel, Nisha Alzahrani, Fatema AlSheddi, Tarfa AlObeid, Eman Alenazi, Mona Alsaif, Hessa S. Alqahtani, Maha AlAli, Maha Al Ali, Hatoon Helaby, Rana Ibrahim, Niema Abdulwahab, Firdous Hashem, Mais Hanna, Nadine Monies, Dorota Derar, Nada Alsagheir, Afaf Alhashem, Amal Alsaleem, Badr Alhebbi, Hamoud Wali, Sami Umarov, Ramzan Gao, Xin Alkuraya, Fowzan S. |
author_sort | Maddirevula, Sateesh |
collection | PubMed |
description | BACKGROUND: At least 50% of patients with suspected Mendelian disorders remain undiagnosed after whole-exome sequencing (WES), and the extent to which non-coding variants that are not captured by WES contribute to this fraction is unclear. Whole transcriptome sequencing is a promising supplement to WES, although empirical data on the contribution of RNA analysis to the diagnosis of Mendelian diseases on a large scale are scarce. RESULTS: Here, we describe our experience with transcript-deleterious variants (TDVs) based on a cohort of 5647 families with suspected Mendelian diseases. We first interrogate all families for which the respective Mendelian phenotype could be mapped to a single locus to obtain an unbiased estimate of the contribution of TDVs at 18.9%. We examine the entire cohort and find that TDVs account for 15% of all “solved” cases. We compare the results of RT-PCR to in silico prediction. Definitive results from RT-PCR are obtained from blood-derived RNA for the overwhelming majority of variants (84.1%), and only a small minority (2.6%) fail analysis on all available RNA sources (blood-, skin fibroblast-, and urine renal epithelial cells-derived), which has important implications for the clinical application of RNA-seq. We also show that RNA analysis can establish the diagnosis in 13.5% of 155 patients who had received “negative” clinical WES reports. Finally, our data suggest a role for TDVs in modulating penetrance even in otherwise highly penetrant Mendelian disorders. CONCLUSIONS: Our results provide much needed empirical data for the impending implementation of diagnostic RNA-seq in conjunction with genome sequencing. |
format | Online Article Text |
id | pubmed-7298854 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-72988542020-06-17 Analysis of transcript-deleterious variants in Mendelian disorders: implications for RNA-based diagnostics Maddirevula, Sateesh Kuwahara, Hiroyuki Ewida, Nour Shamseldin, Hanan E. Patel, Nisha Alzahrani, Fatema AlSheddi, Tarfa AlObeid, Eman Alenazi, Mona Alsaif, Hessa S. Alqahtani, Maha AlAli, Maha Al Ali, Hatoon Helaby, Rana Ibrahim, Niema Abdulwahab, Firdous Hashem, Mais Hanna, Nadine Monies, Dorota Derar, Nada Alsagheir, Afaf Alhashem, Amal Alsaleem, Badr Alhebbi, Hamoud Wali, Sami Umarov, Ramzan Gao, Xin Alkuraya, Fowzan S. Genome Biol Research BACKGROUND: At least 50% of patients with suspected Mendelian disorders remain undiagnosed after whole-exome sequencing (WES), and the extent to which non-coding variants that are not captured by WES contribute to this fraction is unclear. Whole transcriptome sequencing is a promising supplement to WES, although empirical data on the contribution of RNA analysis to the diagnosis of Mendelian diseases on a large scale are scarce. RESULTS: Here, we describe our experience with transcript-deleterious variants (TDVs) based on a cohort of 5647 families with suspected Mendelian diseases. We first interrogate all families for which the respective Mendelian phenotype could be mapped to a single locus to obtain an unbiased estimate of the contribution of TDVs at 18.9%. We examine the entire cohort and find that TDVs account for 15% of all “solved” cases. We compare the results of RT-PCR to in silico prediction. Definitive results from RT-PCR are obtained from blood-derived RNA for the overwhelming majority of variants (84.1%), and only a small minority (2.6%) fail analysis on all available RNA sources (blood-, skin fibroblast-, and urine renal epithelial cells-derived), which has important implications for the clinical application of RNA-seq. We also show that RNA analysis can establish the diagnosis in 13.5% of 155 patients who had received “negative” clinical WES reports. Finally, our data suggest a role for TDVs in modulating penetrance even in otherwise highly penetrant Mendelian disorders. CONCLUSIONS: Our results provide much needed empirical data for the impending implementation of diagnostic RNA-seq in conjunction with genome sequencing. BioMed Central 2020-06-17 /pmc/articles/PMC7298854/ /pubmed/32552793 http://dx.doi.org/10.1186/s13059-020-02053-9 Text en © The Author(s) 2020 Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Maddirevula, Sateesh Kuwahara, Hiroyuki Ewida, Nour Shamseldin, Hanan E. Patel, Nisha Alzahrani, Fatema AlSheddi, Tarfa AlObeid, Eman Alenazi, Mona Alsaif, Hessa S. Alqahtani, Maha AlAli, Maha Al Ali, Hatoon Helaby, Rana Ibrahim, Niema Abdulwahab, Firdous Hashem, Mais Hanna, Nadine Monies, Dorota Derar, Nada Alsagheir, Afaf Alhashem, Amal Alsaleem, Badr Alhebbi, Hamoud Wali, Sami Umarov, Ramzan Gao, Xin Alkuraya, Fowzan S. Analysis of transcript-deleterious variants in Mendelian disorders: implications for RNA-based diagnostics |
title | Analysis of transcript-deleterious variants in Mendelian disorders: implications for RNA-based diagnostics |
title_full | Analysis of transcript-deleterious variants in Mendelian disorders: implications for RNA-based diagnostics |
title_fullStr | Analysis of transcript-deleterious variants in Mendelian disorders: implications for RNA-based diagnostics |
title_full_unstemmed | Analysis of transcript-deleterious variants in Mendelian disorders: implications for RNA-based diagnostics |
title_short | Analysis of transcript-deleterious variants in Mendelian disorders: implications for RNA-based diagnostics |
title_sort | analysis of transcript-deleterious variants in mendelian disorders: implications for rna-based diagnostics |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7298854/ https://www.ncbi.nlm.nih.gov/pubmed/32552793 http://dx.doi.org/10.1186/s13059-020-02053-9 |
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