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Trio RNA sequencing in a cohort of medically complex children

Genome sequencing (GS) is a powerful test for the diagnosis of rare genetic disorders. Although GS can enumerate most non-coding variation, determining which non-coding variants are disease-causing is challenging. RNA sequencing (RNA-seq) has emerged as an important tool to help address this issue,...

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Autores principales: Deshwar, Ashish R., Yuki, Kyoko E., Hou, Huayun, Liang, Yijing, Khan, Tayyaba, Celik, Alper, Ramani, Arun, Mendoza-Londono, Roberto, Marshall, Christian R., Brudno, Michael, Shlien, Adam, Meyn, M. Stephen, Hayeems, Robin Z., McKinlay, Brandon J., Klentrou, Panagiota, Wilson, Michael D., Kyriakopoulou, Lianna, Costain, Gregory, Dowling, James J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10183368/
https://www.ncbi.nlm.nih.gov/pubmed/36990084
http://dx.doi.org/10.1016/j.ajhg.2023.03.006
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author Deshwar, Ashish R.
Yuki, Kyoko E.
Hou, Huayun
Liang, Yijing
Khan, Tayyaba
Celik, Alper
Ramani, Arun
Mendoza-Londono, Roberto
Marshall, Christian R.
Brudno, Michael
Shlien, Adam
Meyn, M. Stephen
Hayeems, Robin Z.
McKinlay, Brandon J.
Klentrou, Panagiota
Wilson, Michael D.
Kyriakopoulou, Lianna
Costain, Gregory
Dowling, James J.
author_facet Deshwar, Ashish R.
Yuki, Kyoko E.
Hou, Huayun
Liang, Yijing
Khan, Tayyaba
Celik, Alper
Ramani, Arun
Mendoza-Londono, Roberto
Marshall, Christian R.
Brudno, Michael
Shlien, Adam
Meyn, M. Stephen
Hayeems, Robin Z.
McKinlay, Brandon J.
Klentrou, Panagiota
Wilson, Michael D.
Kyriakopoulou, Lianna
Costain, Gregory
Dowling, James J.
author_sort Deshwar, Ashish R.
collection PubMed
description Genome sequencing (GS) is a powerful test for the diagnosis of rare genetic disorders. Although GS can enumerate most non-coding variation, determining which non-coding variants are disease-causing is challenging. RNA sequencing (RNA-seq) has emerged as an important tool to help address this issue, but its diagnostic utility remains understudied, and the added value of a trio design is unknown. We performed GS plus RNA-seq from blood using an automated clinical-grade high-throughput platform on 97 individuals from 39 families where the proband was a child with unexplained medical complexity. RNA-seq was an effective adjunct test when paired with GS. It enabled clarification of putative splice variants in three families, but it did not reveal variants not already identified by GS analysis. Trio RNA-seq decreased the number of candidates requiring manual review when filtering for de novo dominant disease-causing variants, allowing for the exclusion of 16% of gene-expression outliers and 27% of allele-specific-expression outliers. However, clear diagnostic benefit from the trio design was not observed. Blood-based RNA-seq can facilitate genome analysis in children with suspected undiagnosed genetic disease. In contrast to DNA sequencing, the clinical advantages of a trio RNA-seq design may be more limited.
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spelling pubmed-101833682023-05-16 Trio RNA sequencing in a cohort of medically complex children Deshwar, Ashish R. Yuki, Kyoko E. Hou, Huayun Liang, Yijing Khan, Tayyaba Celik, Alper Ramani, Arun Mendoza-Londono, Roberto Marshall, Christian R. Brudno, Michael Shlien, Adam Meyn, M. Stephen Hayeems, Robin Z. McKinlay, Brandon J. Klentrou, Panagiota Wilson, Michael D. Kyriakopoulou, Lianna Costain, Gregory Dowling, James J. Am J Hum Genet Report Genome sequencing (GS) is a powerful test for the diagnosis of rare genetic disorders. Although GS can enumerate most non-coding variation, determining which non-coding variants are disease-causing is challenging. RNA sequencing (RNA-seq) has emerged as an important tool to help address this issue, but its diagnostic utility remains understudied, and the added value of a trio design is unknown. We performed GS plus RNA-seq from blood using an automated clinical-grade high-throughput platform on 97 individuals from 39 families where the proband was a child with unexplained medical complexity. RNA-seq was an effective adjunct test when paired with GS. It enabled clarification of putative splice variants in three families, but it did not reveal variants not already identified by GS analysis. Trio RNA-seq decreased the number of candidates requiring manual review when filtering for de novo dominant disease-causing variants, allowing for the exclusion of 16% of gene-expression outliers and 27% of allele-specific-expression outliers. However, clear diagnostic benefit from the trio design was not observed. Blood-based RNA-seq can facilitate genome analysis in children with suspected undiagnosed genetic disease. In contrast to DNA sequencing, the clinical advantages of a trio RNA-seq design may be more limited. Elsevier 2023-05-04 2023-03-28 /pmc/articles/PMC10183368/ /pubmed/36990084 http://dx.doi.org/10.1016/j.ajhg.2023.03.006 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Report
Deshwar, Ashish R.
Yuki, Kyoko E.
Hou, Huayun
Liang, Yijing
Khan, Tayyaba
Celik, Alper
Ramani, Arun
Mendoza-Londono, Roberto
Marshall, Christian R.
Brudno, Michael
Shlien, Adam
Meyn, M. Stephen
Hayeems, Robin Z.
McKinlay, Brandon J.
Klentrou, Panagiota
Wilson, Michael D.
Kyriakopoulou, Lianna
Costain, Gregory
Dowling, James J.
Trio RNA sequencing in a cohort of medically complex children
title Trio RNA sequencing in a cohort of medically complex children
title_full Trio RNA sequencing in a cohort of medically complex children
title_fullStr Trio RNA sequencing in a cohort of medically complex children
title_full_unstemmed Trio RNA sequencing in a cohort of medically complex children
title_short Trio RNA sequencing in a cohort of medically complex children
title_sort trio rna sequencing in a cohort of medically complex children
topic Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10183368/
https://www.ncbi.nlm.nih.gov/pubmed/36990084
http://dx.doi.org/10.1016/j.ajhg.2023.03.006
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