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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

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    30101 - Human genetics

Result continuities

  • Project

  • 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

  • EID of the result in the Scopus database

    2-s2.0-85207830154