Genome-wide association study identifies multiple risk loci for renal cell carcinoma
Web of Science
AuthorScelo, G; Purdue, MP; Brown, KM; Johansson, M; Wang, Z; Eckel-Passow, JE; Ye, Y; Hofmann, JN; Choi, J; Foll, M; ...
Source TitleNature Communications
PublisherNATURE PUBLISHING GROUP
AffiliationMedicine and Radiology
Melbourne School of Population and Global Health
Document TypeJournal Article
CitationsScelo, G., Purdue, M. P., Brown, K. M., Johansson, M., Wang, Z., Eckel-Passow, J. E., Ye, Y., Hofmann, J. N., Choi, J., Foll, M., Gaborieau, V., Machiela, M. J., Colli, L. M., Li, P., Sampson, J. N., Abedi-Ardekani, B., Besse, C., Blanche, H., Boland, A. ,... Chanock, S. J. (2017). Genome-wide association study identifies multiple risk loci for renal cell carcinoma. NATURE COMMUNICATIONS, 8 (1), https://doi.org/10.1038/ncomms15724.
Access StatusOpen Access
Previous genome-wide association studies (GWAS) have identified six risk loci for renal cell carcinoma (RCC). We conducted a meta-analysis of two new scans of 5,198 cases and 7,331 controls together with four existing scans, totalling 10,784 cases and 20,406 controls of European ancestry. Twenty-four loci were tested in an additional 3,182 cases and 6,301 controls. We confirm the six known RCC risk loci and identify seven new loci at 1p32.3 (rs4381241, P=3.1 × 10-10), 3p22.1 (rs67311347, P=2.5 × 10-8), 3q26.2 (rs10936602, P=8.8 × 10-9), 8p21.3 (rs2241261, P=5.8 × 10-9), 10q24.33-q25.1 (rs11813268, P=3.9 × 10-8), 11q22.3 (rs74911261, P=2.1 × 10-10) and 14q24.2 (rs4903064, P=2.2 × 10-24). Expression quantitative trait analyses suggest plausible candidate genes at these regions that may contribute to RCC susceptibility.
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