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A catalog of genetic loci associated with kidney function from analyses of a million individuals

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064190%3A_____%2F19%3AN0000055" target="_blank" >RIV/00064190:_____/19:N0000055 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11110/19:10407623

  • Result on the web

    <a href="http://dx.doi.org/10.1038/s41588-019-0407-x" target="_blank" >http://dx.doi.org/10.1038/s41588-019-0407-x</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1038/s41588-019-0407-x" target="_blank" >10.1038/s41588-019-0407-x</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A catalog of genetic loci associated with kidney function from analyses of a million individuals

  • Original language description

    Chronic kidney disease (CKD) is responsible for a public health burden with multi-systemic complications. Through transancestry meta-analysis of genome-wide association studies of estimated glomerular filtration rate (eGFR) and independent replication (n = 1,046,070), we identified 264 associated loci (166 new). Of these,147 were likely to be relevant for kidney function on the basis of associations with the alternative kidney function marker blood urea nitrogen (n = 416,178). Pathway and enrichment analyses, including mouse models with renal phenotypes, support the kidney as the main target organ. A genetic risk score for lower eGFR was associated with clinically diagnosed CKD in 452,264 independent individuals. Colocalization analyses of associations with eGFR among 783,978 European-ancestry individuals and gene expression across 46 human tissues, including tubulo-interstitial and glomerular kidney compartments, identified 17 genes differentially expressed in kidney. Fine-mapping highlighted missense driver variants in 11 genes and kidney-specific regulatory variants. These results provide a comprehensive priority list of molecular targets for translational research.

  • 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

    30201 - Cardiac and Cardiovascular systems

Result continuities

  • Project

  • Continuities

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    NATURE GENETICS

  • ISSN

    1061-4036

  • e-ISSN

    1546-1718

  • Volume of the periodical

    51

  • Issue of the periodical within the volume

    6

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    42

  • Pages from-to

    957-1000

  • UT code for WoS article

    000469996900008

  • EID of the result in the Scopus database

    2-s2.0-85066607502