Pleiotropic analysis of lung cancer and blood triglycerides
File(s)
Author(s)
Type
Journal Article
Abstract
Epidemiologically related traits may share genetic risk factors, and pleiotropic analysis could identify individual loci associated with these traits. Because of their shared epidemiological associations, we conducted pleiotropic analysis of genome-wide association studies of lung cancer (12 160 lung cancer case patients and 16 838 control subjects) and cardiovascular disease risk factors (blood lipids from 188 577 subjects, type 2 diabetes from 148 821 subjects, body mass index from 123 865 subjects, and smoking phenotypes from 74 053 subjects). We found that 6p22.1 (rs6904596, ZNF184) was associated with both lung cancer (P = 5.50x10-6) and blood triglycerides (P = 1.39x10-5). We replicated the association in 6097 lung cancer case patients and 204 657 control subjects (P = 2.40 × 10-4) and in 71 113 subjects with triglycerides data (P = .01). rs6904596 reached genome-wide significance in lung cancer meta-analysis (odds ratio = 1.15, 95% confidence interval = 1.10 to 1.21,Pcombined = 5.20x10-9). The large sample size provided by the lipid GWAS data and the shared genetic risk factors between the two traits contributed to the uncovering of a hitherto unidentified genetic locus for lung cancer.
Date Issued
2016-12-01
Date Acceptance
2016-05-31
Citation
JNCI: Journal of the National Cancer Institute, 2016, 108 (12), pp.1-4
ISSN
0027-8874
Publisher
Oxford University Press (OUP)
Start Page
1
End Page
4
Journal / Book Title
JNCI: Journal of the National Cancer Institute
Volume
108
Issue
12
Copyright Statement
© 2016 Oxford University Press. This is a pre-copy-editing, author-produced version of an article accepted for publication in JNCI: Journal of the National Cancer Institute following peer review. The definitive publisher-authenticated version Verena Zuber, Crystal N. Marconett, Jianxin Shi, Xing Hua, William Wheeler, Chenchen Yang, Lei Song, Anders M. Dale, Marina Laplana, Angela Risch, Aree Witoelar, Wesley K. Thompson, Andrew J. Schork, Francesco Bettella, Yunpeng Wang, Srdjan Djurovic, Beiyun Zhou, Zea Borok, Henricus F. M. van der Heijden, Jacqueline de Graaf, Dorine Swinkels, Katja K. Aben, James McKay, Rayjean J. Hung, Heike Bikeböller, Victoria L. Stevens, Demetrius Albanes, Neil E. Caporaso, Younghun Han, Yongyue Wei, Maria Angeles Panadero, Jose I. Mayordomo, David C. Christiani, Lambertus Kiemeney, Ole A. Andreassen, Richard Houlston, Christopher I. Amos, Nilanjan Chatterjee, Ite A. Laird-Offringa, Ian G. Mills, Maria Teresa Landi, Pleiotropic Analysis of Lung Cancer and Blood Triglycerides, JNCI: Journal of the National Cancer Institute, Volume 108, Issue 12, December 2016, djw167 is available online at: https://doi.org/10.1093/jnci/djw167
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000393898500007&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Life Sciences & Biomedicine
Oncology
RISK
INFLAMMATION
VARIANTS
IMMUNITY
DISEASE
Publication Status
Published
Article Number
ARTN djw167
Date Publish Online
2016-08-26