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https://doi.org/10.1038/ncomms15724
Title: | Genome-wide association study identifies multiple risk loci for renal cell carcinoma | Authors: | Scelo, G Purdue, M.P Brown, K.M |
Keywords: | ancestry cancer cells and cell components gene genetic analysis genome meta-analysis Article body mass cancer risk cancer susceptibility gene expression gene locus genetic association genetic risk genome-wide association study human hypertension quantitative trait locus renal cell carcinoma single nucleotide polymorphism smoking systematic review adolescent adult aged Caucasian female gene locus genetic predisposition genetics germline mutation kidney tumor male meta analysis middle aged phenotype renal cell carcinoma young adult Europe Adolescent Adult Aged Carcinoma, Renal Cell European Continental Ancestry Group Female Genetic Loci Genetic Predisposition to Disease Genome-Wide Association Study Germ-Line Mutation Humans Kidney Neoplasms Male Middle Aged Phenotype Polymorphism, Single Nucleotide Young Adult |
Issue Date: | 2017 | Publisher: | Nature Publishing Group | Citation: | Scelo, G, Purdue, M.P, Brown, K.M (2017). Genome-wide association study identifies multiple risk loci for renal cell carcinoma. Nature Communications 8 : 15724. ScholarBank@NUS Repository. https://doi.org/10.1038/ncomms15724 | Rights: | Attribution 4.0 International | 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. © The Author(s) 2017. | Source Title: | Nature Communications | URI: | https://scholarbank.nus.edu.sg/handle/10635/179752 | ISSN: | 2041-1723 | DOI: | 10.1038/ncomms15724 | Rights: | Attribution 4.0 International |
Appears in Collections: | Elements Staff Publications |
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