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MRSD: A quantitative approach for assessing suitability of RNA-seq in the investigation of mis-splicing in Mendelian disease

Variable levels of gene expression between tissues complicates the use of RNA sequencing of patient biosamples to delineate the impact of genomic variants. Here, we describe a gene- and tissue-specific metric to inform the feasibility of RNA sequencing. This overcomes limitations of using expression...

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Autores principales: Rowlands, Charlie F., Taylor, Algy, Rice, Gillian, Whiffin, Nicola, Hall, Hildegard Nikki, Newman, William G., Black, Graeme C.M., O’Keefe, Raymond T., Hubbard, Simon, Douglas, Andrew G.L., Baralle, Diana, Briggs, Tracy A., Ellingford, Jamie M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8874219/
https://www.ncbi.nlm.nih.gov/pubmed/35065709
http://dx.doi.org/10.1016/j.ajhg.2021.12.014
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author Rowlands, Charlie F.
Taylor, Algy
Rice, Gillian
Whiffin, Nicola
Hall, Hildegard Nikki
Newman, William G.
Black, Graeme C.M.
O’Keefe, Raymond T.
Hubbard, Simon
Douglas, Andrew G.L.
Baralle, Diana
Briggs, Tracy A.
Ellingford, Jamie M.
author_facet Rowlands, Charlie F.
Taylor, Algy
Rice, Gillian
Whiffin, Nicola
Hall, Hildegard Nikki
Newman, William G.
Black, Graeme C.M.
O’Keefe, Raymond T.
Hubbard, Simon
Douglas, Andrew G.L.
Baralle, Diana
Briggs, Tracy A.
Ellingford, Jamie M.
author_sort Rowlands, Charlie F.
collection PubMed
description Variable levels of gene expression between tissues complicates the use of RNA sequencing of patient biosamples to delineate the impact of genomic variants. Here, we describe a gene- and tissue-specific metric to inform the feasibility of RNA sequencing. This overcomes limitations of using expression values alone as a metric to predict RNA-sequencing utility. We have derived a metric, minimum required sequencing depth (MRSD), that estimates the depth of sequencing required from RNA sequencing to achieve user-specified sequencing coverage of a gene, transcript, or group of genes. We applied MRSD across four human biosamples: whole blood, lymphoblastoid cell lines (LCLs), skeletal muscle, and cultured fibroblasts. MRSD has high precision (90.1%–98.2%) and overcomes transcript region-specific sequencing biases. Applying MRSD scoring to established disease gene panels shows that fibroblasts, of these four biosamples, are the optimum source of RNA for 63.1% of gene panels. Using this approach, up to 67.8% of the variants of uncertain significance in ClinVar that are predicted to impact splicing could be assayed by RNA sequencing in at least one of the biosamples. We demonstrate the utility and benefits of MRSD as a metric to inform functional assessment of splicing aberrations, in particular in the context of Mendelian genetic disorders to improve diagnostic yield.
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spelling pubmed-88742192022-03-02 MRSD: A quantitative approach for assessing suitability of RNA-seq in the investigation of mis-splicing in Mendelian disease Rowlands, Charlie F. Taylor, Algy Rice, Gillian Whiffin, Nicola Hall, Hildegard Nikki Newman, William G. Black, Graeme C.M. O’Keefe, Raymond T. Hubbard, Simon Douglas, Andrew G.L. Baralle, Diana Briggs, Tracy A. Ellingford, Jamie M. Am J Hum Genet Article Variable levels of gene expression between tissues complicates the use of RNA sequencing of patient biosamples to delineate the impact of genomic variants. Here, we describe a gene- and tissue-specific metric to inform the feasibility of RNA sequencing. This overcomes limitations of using expression values alone as a metric to predict RNA-sequencing utility. We have derived a metric, minimum required sequencing depth (MRSD), that estimates the depth of sequencing required from RNA sequencing to achieve user-specified sequencing coverage of a gene, transcript, or group of genes. We applied MRSD across four human biosamples: whole blood, lymphoblastoid cell lines (LCLs), skeletal muscle, and cultured fibroblasts. MRSD has high precision (90.1%–98.2%) and overcomes transcript region-specific sequencing biases. Applying MRSD scoring to established disease gene panels shows that fibroblasts, of these four biosamples, are the optimum source of RNA for 63.1% of gene panels. Using this approach, up to 67.8% of the variants of uncertain significance in ClinVar that are predicted to impact splicing could be assayed by RNA sequencing in at least one of the biosamples. We demonstrate the utility and benefits of MRSD as a metric to inform functional assessment of splicing aberrations, in particular in the context of Mendelian genetic disorders to improve diagnostic yield. Elsevier 2022-02-03 2022-01-21 /pmc/articles/PMC8874219/ /pubmed/35065709 http://dx.doi.org/10.1016/j.ajhg.2021.12.014 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Rowlands, Charlie F.
Taylor, Algy
Rice, Gillian
Whiffin, Nicola
Hall, Hildegard Nikki
Newman, William G.
Black, Graeme C.M.
O’Keefe, Raymond T.
Hubbard, Simon
Douglas, Andrew G.L.
Baralle, Diana
Briggs, Tracy A.
Ellingford, Jamie M.
MRSD: A quantitative approach for assessing suitability of RNA-seq in the investigation of mis-splicing in Mendelian disease
title MRSD: A quantitative approach for assessing suitability of RNA-seq in the investigation of mis-splicing in Mendelian disease
title_full MRSD: A quantitative approach for assessing suitability of RNA-seq in the investigation of mis-splicing in Mendelian disease
title_fullStr MRSD: A quantitative approach for assessing suitability of RNA-seq in the investigation of mis-splicing in Mendelian disease
title_full_unstemmed MRSD: A quantitative approach for assessing suitability of RNA-seq in the investigation of mis-splicing in Mendelian disease
title_short MRSD: A quantitative approach for assessing suitability of RNA-seq in the investigation of mis-splicing in Mendelian disease
title_sort mrsd: a quantitative approach for assessing suitability of rna-seq in the investigation of mis-splicing in mendelian disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8874219/
https://www.ncbi.nlm.nih.gov/pubmed/35065709
http://dx.doi.org/10.1016/j.ajhg.2021.12.014
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