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%2F00216208%3A11130%2F17%3A10373792" target="_blank" >RIV/00216208:11130/17:10373792 - isvavai.cz</a>
Alternative codes found
RIV/61988987:17110/17:A20020UO
Result on the web
<a href="https://doi.org/10.1038/ng.3892" target="_blank" >https://doi.org/10.1038/ng.3892</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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30502 - Other medical science
Result continuities
Project
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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
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Volume of the periodical
49
Issue of the periodical within the volume
7
Country of publishing house
US - UNITED STATES
Number of pages
7
Pages from-to
1126-1132
UT code for WoS article
000404253300024
EID of the result in the Scopus database
2-s2.0-85020451435