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Gene expression imputation across multiple brain regions provides insights into schizophrenia risk

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064203%3A_____%2F19%3A10394261" target="_blank" >RIV/00064203:_____/19:10394261 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11130/19:10394261

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=sBx-Isz2qs" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=sBx-Isz2qs</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1038/s41588-019-0364-4" target="_blank" >10.1038/s41588-019-0364-4</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Gene expression imputation across multiple brain regions provides insights into schizophrenia risk

  • Original language description

    Transcriptomic imputation approaches combine eQTL reference panels with large-scale genotype data in order to test associations between disease and gene expression. These genic associations could elucidate signals in complex genome-wide association study (GWAS) loci and may disentangle the role of different tissues in disease development. We used the largest eQTL reference panel for the dorso-lateral prefrontal cortex (DLPFC) to create a set of gene expression predictors and demonstrate their utility. We applied DLPFC and 12 GTEx-brain predictors to 40,299 schizophrenia cases and 65,264 matched controls for a large transcriptomic imputation study of schizophrenia. We identified 413 genic associations across 13 brain regions. Stepwise conditioning identified 67 non-MHC genes, of which 14 did not fall within previous GWAS loci. We identified 36 significantly enriched pathways, including hexosaminidase-A deficiency, and multiple porphyric disorder pathways. We investigated developmental expression patterns among the 67 non-MHC genes and identified specific groups of pre- and postnatal expression.

  • 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

    10600 - Biological sciences

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

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

  • Volume of the periodical

    51

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    16

  • Pages from-to

    659-674

  • UT code for WoS article

    000462767500013

  • EID of the result in the Scopus database

    2-s2.0-85063585118