Genome-wide association study identifies multiple risk loci for renal cell carcinoma

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    Author
    Scelo, G; Purdue, MP; Brown, KM; Johansson, M; Wang, Z; Eckel-Passow, JE; Ye, Y; Hofmann, JN; Choi, J; Foll, M; ...
    Date
    2017-06-09
    Source Title
    Nature Communications
    Publisher
    NATURE PUBLISHING GROUP
    University of Melbourne Author/s
    Winship, Ingrid; Severi, Gianluca
    Affiliation
    Melbourne School of Population and Global Health
    Medicine (RMH)
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    Document Type
    Journal Article
    Citations
    Scelo, 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 Status
    Open Access
    URI
    http://hdl.handle.net/11343/259440
    DOI
    10.1038/ncomms15724
    Abstract
    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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