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
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Czech description
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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
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Result continuities
Project
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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
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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