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Molecular diagnoses in the congenital malformations caused by ciliopathies cohort of the 100,000 Genomes Project

Molecular diagnoses in the congenital malformations caused by ciliopathies cohort of the 100,000 Genomes Project
Molecular diagnoses in the congenital malformations caused by ciliopathies cohort of the 100,000 Genomes Project
Background: Primary ciliopathies represent a group of inherited disorders due to defects in the primary cilium, the ‘cell’s antenna’. The 100,000 Genomes Project was launched in 2012 by Genomics England (GEL), recruiting National Health Service (NHS) patients with eligible rare diseases and cancer. Sequence data were linked to Human Phenotype Ontology (HPO) terms entered by recruiting clinicians.

Methods: Eighty-three prescreened probands were recruited to the 100,000 Genomes Project suspected to have congenital malformations caused by ciliopathies in the following disease categories: Bardet-Biedl syndrome (n=45), Joubert syndrome (n=14) and ‘Rare Multisystem Ciliopathy Disorders’ (n=24). We implemented a bespoke variant filtering and analysis strategy to improve molecular diagnostic rates for these participants.

Results: We determined a research molecular diagnosis for n=43/83 (51.8%) probands. This is 19.3% higher than previously reported by GEL (n=27/83 (32.5%)). A high proportion of diagnoses are due to variants in non-ciliopathy disease genes (n=19/43, 44.2%) which may reflect difficulties in clinical recognition of ciliopathies. n=11/83 probands (13.3%) had at least one causative variant outside the tiers 1 and 2 variant prioritisation categories (GEL’s automated triaging procedure), which would not be reviewed in standard 100,000 Genomes Project diagnostic strategies. These include four structural variants and three predicted to cause non-canonical splicing defects. Two unrelated participants have biallelic likely pathogenic variants in LRRC45, a putative novel ciliopathy disease gene.

Conclusion: These data illustrate the power of linking large-scale genome sequence to phenotype information. They demonstrate the value of research collaborations in order to maximise interpretation of genomic data.
0022-2593
Best, Sunayna
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Lord, Jenny
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Roche, Matthew
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Watson, Christopher M
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Poulter, James A
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Bevers, Roel P J
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Stuckey, Alex
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Szymanska, Katarzyna
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Ellingford, Jamie M
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Carmichael, Jenny
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Brittain, Helen
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Toomes, Carmel
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Inglehearn, Chris
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Johnson, Colin A
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Wheway, Gabrielle
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Best, Sunayna
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Lord, Jenny
e1909780-36cd-4705-b21e-4580038d4ec6
Roche, Matthew
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Watson, Christopher M
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Poulter, James A
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Bevers, Roel P J
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Stuckey, Alex
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Szymanska, Katarzyna
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Ellingford, Jamie M
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Carmichael, Jenny
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Brittain, Helen
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Toomes, Carmel
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Inglehearn, Chris
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Johnson, Colin A
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Wheway, Gabrielle
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Best, Sunayna, Lord, Jenny, Roche, Matthew, Watson, Christopher M, Poulter, James A, Bevers, Roel P J, Stuckey, Alex, Szymanska, Katarzyna, Ellingford, Jamie M, Carmichael, Jenny, Brittain, Helen, Toomes, Carmel, Inglehearn, Chris, Johnson, Colin A and Wheway, Gabrielle (2021) Molecular diagnoses in the congenital malformations caused by ciliopathies cohort of the 100,000 Genomes Project. Journal of Medical Genetics. (doi:10.1136/jmedgenet-2021-108065).

Record type: Article

Abstract

Background: Primary ciliopathies represent a group of inherited disorders due to defects in the primary cilium, the ‘cell’s antenna’. The 100,000 Genomes Project was launched in 2012 by Genomics England (GEL), recruiting National Health Service (NHS) patients with eligible rare diseases and cancer. Sequence data were linked to Human Phenotype Ontology (HPO) terms entered by recruiting clinicians.

Methods: Eighty-three prescreened probands were recruited to the 100,000 Genomes Project suspected to have congenital malformations caused by ciliopathies in the following disease categories: Bardet-Biedl syndrome (n=45), Joubert syndrome (n=14) and ‘Rare Multisystem Ciliopathy Disorders’ (n=24). We implemented a bespoke variant filtering and analysis strategy to improve molecular diagnostic rates for these participants.

Results: We determined a research molecular diagnosis for n=43/83 (51.8%) probands. This is 19.3% higher than previously reported by GEL (n=27/83 (32.5%)). A high proportion of diagnoses are due to variants in non-ciliopathy disease genes (n=19/43, 44.2%) which may reflect difficulties in clinical recognition of ciliopathies. n=11/83 probands (13.3%) had at least one causative variant outside the tiers 1 and 2 variant prioritisation categories (GEL’s automated triaging procedure), which would not be reviewed in standard 100,000 Genomes Project diagnostic strategies. These include four structural variants and three predicted to cause non-canonical splicing defects. Two unrelated participants have biallelic likely pathogenic variants in LRRC45, a putative novel ciliopathy disease gene.

Conclusion: These data illustrate the power of linking large-scale genome sequence to phenotype information. They demonstrate the value of research collaborations in order to maximise interpretation of genomic data.

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Accepted/In Press date: 27 August 2021
e-pub ahead of print date: 29 October 2021
Published date: 29 October 2021

Identifiers

Local EPrints ID: 452286
URI: http://eprints.soton.ac.uk/id/eprint/452286
ISSN: 0022-2593
PURE UUID: 3962ea31-f9b9-4f16-9bb0-c3ac307cc32d
ORCID for Jenny Lord: ORCID iD orcid.org/0000-0002-0539-9343
ORCID for Gabrielle Wheway: ORCID iD orcid.org/0000-0002-0494-0783

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Date deposited: 03 Dec 2021 17:30
Last modified: 17 Mar 2024 03:54

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Contributors

Author: Sunayna Best
Author: Jenny Lord ORCID iD
Author: Matthew Roche
Author: Christopher M Watson
Author: James A Poulter
Author: Roel P J Bevers
Author: Alex Stuckey
Author: Katarzyna Szymanska
Author: Jamie M Ellingford
Author: Jenny Carmichael
Author: Helen Brittain
Author: Carmel Toomes
Author: Chris Inglehearn
Author: Colin A Johnson

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