Please use this identifier to cite or link to this item: 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
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