Identification of diagnostic candidates in Mendelian disorders using an RNA sequencing-centric approach
Identification of diagnostic candidates in Mendelian disorders using an RNA sequencing-centric approach
Background: RNA sequencing (RNA-seq) is increasingly being used as a complementary tool to DNA sequencing in diagnostics where DNA analysis has been uninformative. RNA-seq enables the identification of aberrant splicing and aberrant gene expression, improving the interpretation of variants of unknown significance (VUS) and provides the opportunity to scan the transcriptome for aberrant splicing and expression in relevant genes that may be the cause of a patient’s phenotype. This work aims to investigate the feasibility of generating new diagnostic candidates in patients without a previously reported VUS using an RNA-seq-centric approach.
Methods: we systematically assessed the transcriptomic profiles of 86 patients with suspected Mendelian disorders, 38 of whom had no candidate sequence variant, using RNA from blood samples. Each VUS was visually inspected to search for splicing abnormalities. Once aberrant splicing was identified in cases with VUS, multiple open-source alternative splicing tools were used to investigate if they would identify what was observed in IGV. Expression outliers were detected using OUTRIDER. Diagnoses in cases without a VUS were explored using two separate strategies.
Results: RNA-seq allowed us to assess 71% of VUSs, detecting aberrant splicing in 14/48 patients with a VUS. We identified four new diagnoses by detecting novel aberrant splicing events in patients with no candidate sequence variants from prior DNA testing (n=32) or where the candidate VUS did not affect splicing (n=23). An additional diagnosis was made through the detection of skewed X-inactivation.
Conclusion: this work demonstrates the utility of an RNA-centric approach in identifying novel diagnoses in patients without candidate VUSs. It underscores the utility of blood-based RNA analysis in improving diagnostic yields and highlights optimal approaches for such analyses.
RNA-seq, rare disease, diagnostics, splicing, expression
Jaramillo Oquendo, Carolina
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Wai, Htoo A.
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Rich, Wil I.
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Bunyan, David J.
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Thomas, N. Simon
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Hunt, David
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Lord, Jenny
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Douglas, Andrew G.L.
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Baralle, Diana
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9 September 2024
Jaramillo Oquendo, Carolina
7ac6cb48-5df8-4d22-9907-46dc8f4d4b18
Wai, Htoo A.
4428517b-33b3-42cb-9818-ca64763ab7bc
Rich, Wil I.
7e512973-bd50-43c1-b50a-7043677afaed
Bunyan, David J.
41347b93-e79b-4026-93f9-dd1004cfa05e
Thomas, N. Simon
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Hunt, David
5867549e-0e44-4f07-9a42-93aaf092fd4d
Lord, Jenny
e1909780-36cd-4705-b21e-4580038d4ec6
Douglas, Andrew G.L.
2c12b242-abae-44c0-acad-3159c677cf99
Baralle, Diana
faac16e5-7928-4801-9811-8b3a9ea4bb91
Jaramillo Oquendo, Carolina, Wai, Htoo A., Rich, Wil I., Bunyan, David J., Thomas, N. Simon, Hunt, David, Lord, Jenny, Douglas, Andrew G.L. and Baralle, Diana
(2024)
Identification of diagnostic candidates in Mendelian disorders using an RNA sequencing-centric approach.
Genome Medicine, 16, [110].
(doi:10.1186/s137073-024-01381w).
Abstract
Background: RNA sequencing (RNA-seq) is increasingly being used as a complementary tool to DNA sequencing in diagnostics where DNA analysis has been uninformative. RNA-seq enables the identification of aberrant splicing and aberrant gene expression, improving the interpretation of variants of unknown significance (VUS) and provides the opportunity to scan the transcriptome for aberrant splicing and expression in relevant genes that may be the cause of a patient’s phenotype. This work aims to investigate the feasibility of generating new diagnostic candidates in patients without a previously reported VUS using an RNA-seq-centric approach.
Methods: we systematically assessed the transcriptomic profiles of 86 patients with suspected Mendelian disorders, 38 of whom had no candidate sequence variant, using RNA from blood samples. Each VUS was visually inspected to search for splicing abnormalities. Once aberrant splicing was identified in cases with VUS, multiple open-source alternative splicing tools were used to investigate if they would identify what was observed in IGV. Expression outliers were detected using OUTRIDER. Diagnoses in cases without a VUS were explored using two separate strategies.
Results: RNA-seq allowed us to assess 71% of VUSs, detecting aberrant splicing in 14/48 patients with a VUS. We identified four new diagnoses by detecting novel aberrant splicing events in patients with no candidate sequence variants from prior DNA testing (n=32) or where the candidate VUS did not affect splicing (n=23). An additional diagnosis was made through the detection of skewed X-inactivation.
Conclusion: this work demonstrates the utility of an RNA-centric approach in identifying novel diagnoses in patients without candidate VUSs. It underscores the utility of blood-based RNA analysis in improving diagnostic yields and highlights optimal approaches for such analyses.
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RNAseq centric approach submission
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s13073-024-01381-w
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Accepted/In Press date: 30 August 2024
e-pub ahead of print date: 9 September 2024
Published date: 9 September 2024
Keywords:
RNA-seq, rare disease, diagnostics, splicing, expression
Identifiers
Local EPrints ID: 495468
URI: http://eprints.soton.ac.uk/id/eprint/495468
ISSN: 1756-994X
PURE UUID: 8455c4dc-1c08-4b29-8ebb-bd71cd57cd1b
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Date deposited: 14 Nov 2024 17:37
Last modified: 16 Nov 2024 03:03
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Contributors
Author:
Carolina Jaramillo Oquendo
Author:
Htoo A. Wai
Author:
Wil I. Rich
Author:
David J. Bunyan
Author:
N. Simon Thomas
Author:
David Hunt
Author:
Jenny Lord
Author:
Andrew G.L. Douglas
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