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Identification of lung cancer histology-specific variants applying Bayesian framework variant prioritization approaches within the TRICL and ILCCO consortia

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11110%2F15%3A10314370" target="_blank" >RIV/00216208:11110/15:10314370 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989592:15110/15:33154942

  • Result on the web

    <a href="http://dx.doi.org/10.1093/carcin/bgv128" target="_blank" >http://dx.doi.org/10.1093/carcin/bgv128</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1093/carcin/bgv128" target="_blank" >10.1093/carcin/bgv128</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Identification of lung cancer histology-specific variants applying Bayesian framework variant prioritization approaches within the TRICL and ILCCO consortia

  • Original language description

    Large-scale genome-wide association studies (GWAS) have likely uncovered all common variants at the GWAS significance level. Additional variants within the suggestive range (0.0001> P > 5 x 10(-8)) are, however, still of interest for identifying causal associations. This analysis aimed to apply novel variant prioritization approaches to identify additional lung cancer variants that may not reach the GWAS level. Effects were combined across studies with a total of 33 456 controls and 6756 adenocarcinoma(AC; 13 studies), 5061 squamous cell carcinoma (SCC; 12 studies) and 2216 small cell lung cancer cases (9 studies). Based on prior information such as variant physical properties and functional significance, we applied stratified false discovery rates, hierarchical modeling and Bayesian false discovery probabilities for variant prioritization. We conducted a fine mapping analysis as validation of our methods by examining top-ranking novel variants in six independent populations with a to

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    FN - Epidemiology, infection diseases and clinical immunology

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Carcinogenesis

  • ISSN

    0143-3334

  • e-ISSN

  • Volume of the periodical

    36

  • Issue of the periodical within the volume

    11

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    13

  • Pages from-to

    1314-1326

  • UT code for WoS article

    000366386800008

  • EID of the result in the Scopus database

    2-s2.0-84949569031