Comprehensive reanalysis for CNVs in ES data from unsolved rare disease cases results in new diagnoses
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064203%3A_____%2F24%3A10487492" target="_blank" >RIV/00064203:_____/24:10487492 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11130/24:10487492
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=g86Hjr0YY-" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=g86Hjr0YY-</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1038/s41525-024-00436-6" target="_blank" >10.1038/s41525-024-00436-6</a>
Alternative languages
Result language
angličtina
Original language name
Comprehensive reanalysis for CNVs in ES data from unsolved rare disease cases results in new diagnoses
Original language description
We report the results of a comprehensive copy number variant (CNV) reanalysis of 9171 exome sequencing datasets from 5757 families affected by a rare disease (RD). The data reanalysed was extremely heterogeneous, having been generated using 28 different enrichment kits by 42 different research groups across Europe partnering in the Solve-RD project. Each research group had previously undertaken their own analysis of the data but failed to identify disease-causing variants. We applied three CNV calling algorithms to maximise sensitivity, and rare CNVs overlapping genes of interest, provided by four partner European Reference Networks, were taken forward for interpretation by clinical experts. This reanalysis has resulted in a molecular diagnosis being provided to 51 families in this sample, with ClinCNV performing the best of the three algorithms. We also identified partially explanatory pathogenic CNVs in a further 34 individuals. This work illustrates the value of reanalysing ES cold cases for CNVs.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
30101 - Human genetics
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
npj Genomic Medicine
ISSN
2056-7944
e-ISSN
2056-7944
Volume of the periodical
9
Issue of the periodical within the volume
1
Country of publishing house
GB - UNITED KINGDOM
Number of pages
24
Pages from-to
49
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85207830154