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Uplift of genetic diagnosis of rare respiratory disease using airway epithelium transcriptome analysis

Uplift of genetic diagnosis of rare respiratory disease using airway epithelium transcriptome analysis
Uplift of genetic diagnosis of rare respiratory disease using airway epithelium transcriptome analysis
Rare genetic respiratory disease has an incidence rate of more than 1:2500 live births in Northern Europe and carries significant disease burden. Early diagnosis improves outcomes, but many individuals remain without a confident genetic diagnosis. Improved and expanded molecular testing methods are required to improve genetic diagnosis rates and thereby improve clinical outcomes. Using primary ciliary dyskinesia (PCD) as an exemplar rare genetic respiratory disease, we developed a standardized method to identify pathogenic variants using whole transcriptome RNA-sequencing (RNA-seq) of nasal epithelial cells cultured at air-liquid interface (ALI). The method was optimized using cells from healthy volunteers, and people with rhino-pulmonary disease but no diagnostic indication of PCD. We validated the method using nasal epithelial cells from PCD patients with known genetic cause. We then assessed the ability of RNA-seq to identify pathogenic variants and the disease mechanism in PCD likely patients but in whom DNA genetic testing was inconclusive.

The majority of 49 targeted PCD genes were optimally identified in RNA-seq data from nasal epithelial cells grown for 21 days at ALI culture. Four PCD-likely patients without a previous genetic diagnosis received a confirmed genetic diagnosis from the findings of the RNA-seq data.
We demonstrate the clinical potential of RNA-seq of nasal epithelial cells to identify variants in individuals with genetically unsolved PCD. This uplifted genetic diagnosis should improve genetic counselling, enables family cascade screening, opens the door to potential personalised treatment and care approaches. This methodology could be implemented in other rare lung diseases such as cystic fibrosis.
0964-6906
Legebeke, Jelmer
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Wheway, Gabrielle
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Baker, Lee
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Wai, Htoo
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Walker, Woolf Theodore
0758e514-9212-4388-8879-e5a2dca3dbaa
Simon Thomas, N.
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Coles, Janice
fb9d20aa-93b9-42b3-9b9e-bab2f565ea60
Jackson, Claire
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Holloway, John
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Lucas, Jane
5cb3546c-87b2-4e59-af48-402076e25313
Baralle, Diana
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Legebeke, Jelmer
ac2c7134-a57e-4c7d-a551-fce8432f859c
Wheway, Gabrielle
2e547e5d-b921-4243-a071-2208fd4cc090
Baker, Lee
42513e4c-aebc-44c3-87d6-414a827cc543
Wai, Htoo
4428517b-33b3-42cb-9818-ca64763ab7bc
Walker, Woolf Theodore
0758e514-9212-4388-8879-e5a2dca3dbaa
Simon Thomas, N.
2736b8b1-d10e-484a-bda8-8b761344a93e
Coles, Janice
fb9d20aa-93b9-42b3-9b9e-bab2f565ea60
Jackson, Claire
64cdd6fa-74c3-4ac6-94ef-070620a6efd9
Holloway, John
4bbd77e6-c095-445d-a36b-a50a72f6fe1a
Lucas, Jane
5cb3546c-87b2-4e59-af48-402076e25313
Baralle, Diana
faac16e5-7928-4801-9811-8b3a9ea4bb91

Legebeke, Jelmer, Wheway, Gabrielle, Baker, Lee, Wai, Htoo, Walker, Woolf Theodore, Simon Thomas, N., Coles, Janice, Jackson, Claire, Holloway, John, Lucas, Jane and Baralle, Diana (2024) Uplift of genetic diagnosis of rare respiratory disease using airway epithelium transcriptome analysis. Human Molecular Genetics. (doi:10.1093/hmg/ddae164).

Record type: Article

Abstract

Rare genetic respiratory disease has an incidence rate of more than 1:2500 live births in Northern Europe and carries significant disease burden. Early diagnosis improves outcomes, but many individuals remain without a confident genetic diagnosis. Improved and expanded molecular testing methods are required to improve genetic diagnosis rates and thereby improve clinical outcomes. Using primary ciliary dyskinesia (PCD) as an exemplar rare genetic respiratory disease, we developed a standardized method to identify pathogenic variants using whole transcriptome RNA-sequencing (RNA-seq) of nasal epithelial cells cultured at air-liquid interface (ALI). The method was optimized using cells from healthy volunteers, and people with rhino-pulmonary disease but no diagnostic indication of PCD. We validated the method using nasal epithelial cells from PCD patients with known genetic cause. We then assessed the ability of RNA-seq to identify pathogenic variants and the disease mechanism in PCD likely patients but in whom DNA genetic testing was inconclusive.

The majority of 49 targeted PCD genes were optimally identified in RNA-seq data from nasal epithelial cells grown for 21 days at ALI culture. Four PCD-likely patients without a previous genetic diagnosis received a confirmed genetic diagnosis from the findings of the RNA-seq data.
We demonstrate the clinical potential of RNA-seq of nasal epithelial cells to identify variants in individuals with genetically unsolved PCD. This uplifted genetic diagnosis should improve genetic counselling, enables family cascade screening, opens the door to potential personalised treatment and care approaches. This methodology could be implemented in other rare lung diseases such as cystic fibrosis.

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Accepted/In Press date: 8 November 2024
Published date: 13 November 2024

Identifiers

Local EPrints ID: 496235
URI: http://eprints.soton.ac.uk/id/eprint/496235
ISSN: 0964-6906
PURE UUID: 4402ce7a-d1a9-465b-8ee6-06f06347f673
ORCID for Gabrielle Wheway: ORCID iD orcid.org/0000-0002-0494-0783
ORCID for Lee Baker: ORCID iD orcid.org/0009-0001-9445-1886
ORCID for Htoo Wai: ORCID iD orcid.org/0000-0002-3560-6980
ORCID for Claire Jackson: ORCID iD orcid.org/0000-0002-1200-0935
ORCID for John Holloway: ORCID iD orcid.org/0000-0001-9998-0464
ORCID for Jane Lucas: ORCID iD orcid.org/0000-0001-8701-9975
ORCID for Diana Baralle: ORCID iD orcid.org/0000-0003-3217-4833

Catalogue record

Date deposited: 09 Dec 2024 17:48
Last modified: 16 Jan 2025 03:15

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Contributors

Author: Jelmer Legebeke
Author: Lee Baker ORCID iD
Author: Htoo Wai ORCID iD
Author: Woolf Theodore Walker
Author: N. Simon Thomas
Author: Janice Coles
Author: Claire Jackson ORCID iD
Author: John Holloway ORCID iD
Author: Jane Lucas ORCID iD
Author: Diana Baralle ORCID iD

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