Pleiotropic analysis of lung cancer and blood triglycerides

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2016
Author
Zuber, Verena
Marconett, Crystal N.
Shi, Jianxin
Hua, Xing
Wheeler, William
Yang, Chenchen
Song, Lei
Dale, Anders M.
Laplana Lafaja, Marina
Risch, Angela
Witoelar, Aree
Thompson, Wesley K.
Schork, Andrew J.
Bettella, Francesco
Wang, Yunpeng
Djurovic, Srdjan
Zhou, Beiyun
Borok, Zea
van der Heijden, Henricus F. M.
Graaf, Jacqueline de
Swinkels, Dorine
Aben, Katja K.
McKay, James D.
Hung, Rayjean J.
Bikeböller, Heike
Stevens, Victoria L.
Albanes, Demetrius
Caporaso, Neil E.
Han, Younghun
Wei, Yongyue
Panadero, Maria Ángeles
Mayordomo, José I.
Christiani, David C.
Kiemeney, Lambertus
Andreassen, O. A.
Houlston, Richard
Amos, Christopher I.
Chatterjee, Nilanjan
Laird-Offringa, Ite A.
Mills, Ian G.
Landi, Maria Teresa
Suggested citation
Zuber, Verena; Marconett, Crystal N.; Shi, Jianxin; Hua, Xing; Wheeler, William; Yang, Chenchen; ... Landi, Maria Teresa. (2016) . Pleiotropic analysis of lung cancer and blood triglycerides. Jnci-Journal Of The National Cancer Institute, 2016, vol. 108 , num. 12, djw167. https://doi.org/10.1093/jnci/djw167.
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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.
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http://hdl.handle.net/10459.1/68028
DOI
https://doi.org/10.1093/jnci/djw167
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Jnci-Journal Of The National Cancer Institute, 2016, vol. 108 , num. 12, djw167
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