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Predictors for a dementia gene mutation based on gene-panel next-generation sequencing of a large dementia referral series

Predictors for a dementia gene mutation based on gene-panel next-generation sequencing of a large dementia referral series
Predictors for a dementia gene mutation based on gene-panel next-generation sequencing of a large dementia referral series
Next-generation genetic sequencing (NGS) technologies facilitate the screening of multiple genes linked to neurodegenerative dementia, but there are few reports about their use in clinical practice. Which patients would most profit from testing, and information on the likelihood of discovery of a causal variant in a clinical syndrome, are conspicuously absent from the literature, mostly for a lack of large-scale studies. We applied a validated NGS dementia panel to 3241 patients with dementia and healthy aged controls; 13,152 variants were classified by likelihood of pathogenicity. We identified 354 deleterious variants (DV, 12.6% of patients); 39 were novel DVs. Age at clinical onset, clinical syndrome and family history each strongly predict the likelihood of finding a DV, but healthcare setting and gender did not. DVs were frequently found in genes not usually associated with the clinical syndrome. Patients recruited from primary referral centres were compared with those seen at higher-level research centres and a national clinical neurogenetic laboratory; rates of discovery were comparable, making selection bias unlikely and the results generalisable to clinical practice. We estimated penetrance of DVs using large-scale online genomic population databases and found 71 with evidence of reduced penetrance. Two DVs in the same patient were found more frequently than expected. These data should provide a basis for more informed counselling and clinical decision making.
1359-4184
3399–3412
Koriath, C.
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Kenny, J.
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Adamson, G.
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Druyeh, R.
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Taylor, W.
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Beck, J.
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Quinn, L.
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Mok, T.H.
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Dimitriadis, A.
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Norsworthy, P.
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Bass, N.
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Mead, S.
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Kipps, C
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et al.
Koriath, C.
eb492f19-3152-4a47-864b-234b1e74598e
Kenny, J.
612d96ec-a032-4a5f-bcec-37a85e136134
Adamson, G.
ef4febc3-92b3-4a56-b1d2-0884d4e6a911
Druyeh, R.
579ccaf3-f432-4bcc-99cb-ac4932b26a2b
Taylor, W.
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Beck, J.
8246ed92-e608-420b-ad57-7a0fdcfe0b9d
Quinn, L.
016a176f-3809-42af-bd78-3c580d1ef3fb
Mok, T.H.
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Dimitriadis, A.
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Norsworthy, P.
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Bass, N.
187db9ef-3aaf-4727-95c9-dd6e3981790e
Mead, S.
913cc56c-baf0-43f0-a137-6c011e6c4564
Kipps, C
e43be016-2dc2-45e6-9a02-ab2a0e0208d5

Koriath, C., Kenny, J. and Adamson, G. , et al. (2020) Predictors for a dementia gene mutation based on gene-panel next-generation sequencing of a large dementia referral series. Molecular Psychiatry, 25, 3399–3412. (doi:10.1038/s41380-018-0224-0).

Record type: Article

Abstract

Next-generation genetic sequencing (NGS) technologies facilitate the screening of multiple genes linked to neurodegenerative dementia, but there are few reports about their use in clinical practice. Which patients would most profit from testing, and information on the likelihood of discovery of a causal variant in a clinical syndrome, are conspicuously absent from the literature, mostly for a lack of large-scale studies. We applied a validated NGS dementia panel to 3241 patients with dementia and healthy aged controls; 13,152 variants were classified by likelihood of pathogenicity. We identified 354 deleterious variants (DV, 12.6% of patients); 39 were novel DVs. Age at clinical onset, clinical syndrome and family history each strongly predict the likelihood of finding a DV, but healthcare setting and gender did not. DVs were frequently found in genes not usually associated with the clinical syndrome. Patients recruited from primary referral centres were compared with those seen at higher-level research centres and a national clinical neurogenetic laboratory; rates of discovery were comparable, making selection bias unlikely and the results generalisable to clinical practice. We estimated penetrance of DVs using large-scale online genomic population databases and found 71 with evidence of reduced penetrance. Two DVs in the same patient were found more frequently than expected. These data should provide a basis for more informed counselling and clinical decision making.

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Accepted/In Press date: 18 July 2018
e-pub ahead of print date: 2 October 2018
Published date: December 2020

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Local EPrints ID: 489395
URI: http://eprints.soton.ac.uk/id/eprint/489395
ISSN: 1359-4184
PURE UUID: f62bcefb-e93d-41e3-a6f9-7f72c603873e
ORCID for C Kipps: ORCID iD orcid.org/0000-0002-5205-9712

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Date deposited: 23 Apr 2024 16:40
Last modified: 24 Apr 2024 01:56

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Contributors

Author: C. Koriath
Author: J. Kenny
Author: G. Adamson
Author: R. Druyeh
Author: W. Taylor
Author: J. Beck
Author: L. Quinn
Author: T.H. Mok
Author: A. Dimitriadis
Author: P. Norsworthy
Author: N. Bass
Author: S. Mead
Author: C Kipps ORCID iD
Corporate Author: et al.

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