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Large-scale association analysis identifies new lung cancer susceptibility loci and heterogeneity in genetic susceptibility across histological subtypes

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17110%2F17%3AA20020UO" target="_blank" >RIV/61988987:17110/17:A20020UO - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11130/17:10373792

  • Result on the web

    <a href="http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC5510465&blobtype=pdf" target="_blank" >http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC5510465&blobtype=pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1038/ng.3892" target="_blank" >10.1038/ng.3892</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Large-scale association analysis identifies new lung cancer susceptibility loci and heterogeneity in genetic susceptibility across histological subtypes

  • Original language description

    Although several lung cancer susceptibility loci have been identified, much of the heritability for lung cancer remains unexplained. Here 14,803 cases and 12,262 controls of European descent were genotyped on the OncoArray and combined with existing data for an aggregated genomewide association study (GWAS) analysis of lung cancer in 29,266 cases and 56,450 controls. We identified 18 susceptibility loci achieving genome-wide significance, including 10 new loci. The new loci highlight the striking heterogeneity in genetic susceptibility across the histological subtypes of lung cancer, with four loci associated with lung cancer overall and six loci associated with lung adenocarcinoma. Gene expression quantitative trait locus (eQTL) analysis in 1,425 normal lung tissue samples highlights RNASET2, SECISBP2L and NRG1 as candidate genes. Other loci include genes such as a cholinergic nicotinic receptor, CHRNA2, and the telomere-related genes OFBC1 and RTEL1. Further exploration of the target genes will continue to provide new insights into the etiology of lung cancer.

  • 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

    10603 - Genetics and heredity (medical genetics to be 3)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2017

  • 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

    49

  • Issue of the periodical within the volume

    7

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    1126

  • Pages from-to

    1126-1132

  • UT code for WoS article

    000404253300024

  • EID of the result in the Scopus database

    2-s2.0-85020451435