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A diagnostic ceiling for exome sequencing in cerebellar ataxia and related neurological disorders.

Authors :
Ngo KJ
Rexach JE
Lee H
Petty LE
Perlman S
Valera JM
Deignan JL
Mao Y
Aker M
Posey JE
Jhangiani SN
Coban-Akdemir ZH
Boerwinkle E
Muzny D
Nelson AB
Hassin-Baer S
Poke G
Neas K
Geschwind MD
Grody WW
Gibbs R
Geschwind DH
Lupski JR
Below JE
Nelson SF
Fogel BL
Source :
Human mutation [Hum Mutat] 2020 Feb; Vol. 41 (2), pp. 487-501. Date of Electronic Publication: 2019 Nov 25.
Publication Year :
2020

Abstract

Genetic ataxias are associated with mutations in hundreds of genes with high phenotypic overlap complicating the clinical diagnosis. Whole-exome sequencing (WES) has increased the overall diagnostic rate considerably. However, the upper limit of this method remains ill-defined, hindering efforts to address the remaining diagnostic gap. To further assess the role of rare coding variation in ataxic disorders, we reanalyzed our previously published exome cohort of 76 predominantly adult and sporadic-onset patients, expanded the total number of cases to 260, and introduced analyses for copy number variation and repeat expansion in a representative subset. For new cases (nā€‰=ā€‰184), our resulting clinically relevant detection rate remained stable at 47% with 24% classified as pathogenic. Reanalysis of the previously sequenced 76 patients modestly improved the pathogenic rate by 7%. For the combined cohort (nā€‰=ā€‰260), the total observed clinical detection rate was 52% with 25% classified as pathogenic. Published studies of similar neurological phenotypes report comparable rates. This consistency across multiple cohorts suggests that, despite continued technical and analytical advancements, an approximately 50% diagnostic rate marks a relative ceiling for current WES-based methods and a more comprehensive genome-wide assessment is needed to identify the missing causative genetic etiologies for cerebellar ataxia and related neurodegenerative diseases.<br /> (© 2019 Wiley Periodicals, Inc.)

Details

Language :
English
ISSN :
1098-1004
Volume :
41
Issue :
2
Database :
MEDLINE
Journal :
Human mutation
Publication Type :
Academic Journal
Accession number :
31692161
Full Text :
https://doi.org/10.1002/humu.23946