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Whole-Exome Sequencing in Czech Patients with Neurogenetic Diseases

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11130%2F20%3A10410760" target="_blank" >RIV/00216208:11130/20:10410760 - isvavai.cz</a>

  • Alternative codes found

    RIV/00064203:_____/20:10410760

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=zc21BYZO-c" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=zc21BYZO-c</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1089/gtmb.2019.0232" target="_blank" >10.1089/gtmb.2019.0232</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Whole-Exome Sequencing in Czech Patients with Neurogenetic Diseases

  • Original language description

    Aims: Genomic studies play a major role in variant observations between and within populations and in identifying causal relationships between genotypes and phenotypes. Analyses using databases such as gnomAD can provide insight into the frequencies of alleles in large populations. There have been reports that detail such frequencies for several countries and ethnic groups, but as yet, there are no such datasets for the Czech population. Patients and Methods: Whole-exome sequencing (WES) data from 222 individuals from the Czech Republic were analyzed by The Genome Analysis Toolkit best practices pipeline. These data were annotated with the ANNOVAR tool, and the allele frequencies were computed. Results: We developed a database that contains 300,111 variants in 17,512 genes. It is accessible through a simple web query available at prot2hg.com/variantbrowser. Gene-based analyses identified those genes that are most tolerant to variants in our population. Second, allele frequencies in our population were compared to the gnomAD database and groups of variants frequent in our population, but ultra-rare in gnomAD as a whole were identified. Conclusion: This tool should be useful for detecting local variants in the Czech population of patients with neurogenetic diseases.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30103 - Neurosciences (including psychophysiology)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Genetic Testing and Molecular Biomarkers

  • ISSN

    1945-0265

  • e-ISSN

  • Volume of the periodical

    24

  • Issue of the periodical within the volume

    5

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    10

  • Pages from-to

    264-273

  • UT code for WoS article

    000525217200001

  • EID of the result in the Scopus database

    2-s2.0-85084721389