NCI Expanded Genome-Wide Association Study of Renal Cell Carcinoma

The National Cancer Institute (NCI) expanded genome-wide association study (GWAS) of renal cell carcinoma (RCC) was a 2nd GWAS of this cancer performed by NCI to further investigate common genetic variants associated with RCC risk. The GWAS includes 2,781 cases and 2,940 controls of European background from 13 studies conducted in the US and Finland (10 cohorts, 2 case series, 1 hospital biorepository), scanned using the Illumina OmniExpress and Omni2.5 SNP arrays. SNP-level results from this GWAS were combined by meta-analysis with results from the earlier NCI RCC GWAS (phs000351.v1.p1; 1,311 cases and 3,424 controls) and others conducted by the International Agency for Research on Cancer (scan 1: 2,438 cases and 5,071 controls; scan 2: 2,781 cases and 2,940 controls), The University of Texas MD Anderson Cancer Center (893 cases and 556 controls) and the Institute for Cancer Research, UK (944 cases and 4,024 controls). Only data from the second NCI scan are included in this dbGaP submission. Data from 239 cases and 229 controls from this scan will be deposited in dbGaP separately under the Women's Health Initiative (phs000200).]]>
The National Cancer Institute (NCI) expanded genome-wide association study (GWAS) of renal cell carcinoma (RCC) is a 2nd GWAS of this cancer performed by NCI to further investigate common genetic variants associated with RCC risk. Besides 4 old datasets, namely IARC1 (International Agency for Research on Cancer), NCI1, MDA (the University of Texas MD Anderson Cancer Center ) and UK (the Institute of Cancer Research, UK), this GWAS, in addition, includes 5198 new cases and 7331 new controls from two new datasets, NCI2 and IARC2, ends up with 10784 cases and 20406 controls. NCI1 has been reported in phs000351; Part of NCI2 and part of IARC2 have been reported in phs001736. In this submission, we report a meta-analysis from 6 datasets, IARC1, NCI1, IARC2, NCI2, MDA, and UK. The National Cancer Institute (NCI) expanded genome-wide association study (GWAS) of renal cell carcinoma (RCC) is a 2nd GWAS of this cancer performed by NCI to further investigate common genetic variants associated with RCC risk. For the meta-analyses of the clear cell subtype of renal cell carcinoma GWAS, subjects are a subset of subjects included in "Meta-Analysis Results of NCI Expanded Genome-Wide Association Study of Renal Cell Carcinoma". Specifically, besides 3 old datasets, namely IARC1 (International Agency for Research on Cancer), NCI1, MDA (the University of Texas MD Anderson Cancer Center ), the GWAS in addition includes two new datasets, NCI2 and IARC2, ends up with 5649 cases and 15011 controls. In this submission, we report meta-analysis results from 5 datasets, IARC1, NCI1, IARC2, NCI2, and MDA. The National Cancer Institute (NCI) expanded genome-wide association study (GWAS) of renal cell carcinoma (RCC) is a 2nd GWAS of this cancer performed by NCI to further investigate common genetic variants associated with RCC risk. For the meta-analysis of the clear-cell subtype of renal cell carcinoma GWAS, subjects are a subset of subjects included in "Meta-Analysis Results of NCI Expanded Genome-Wide Association Study of Renal Cell Carcinoma". Specifically, besides 3 old datasets, namely IARC1 (International Agency for Research on Cancer), NCI1, MDA (the University of Texas MD Anderson Cancer Center ), the GWAS in addition includes two new datasets, NCI2 and IARC2, ends up with 563 cases and 14840 controls. In this submission, we report a meta-analysis from 5 datasets, IARC1, IARC2 (combined IARC has 295 cases and 6640 controls), NCI1(81 cases, 3424 controls), NCI2 (111 cases, 4220 controls), and MDA (76 cases and 556 controls). Cases included adult patients diagnosed with kidney cancer (International Classification of Disease for Oncology 2nd and 3rd Edition topography code C64) ) diagnosed among participants of European ancestry with stored DNA source specimens. Controls were subjects of European ancestry with no history of RCC who have been previously scanned as controls in another GWAS project using an Omni-generation beadchip (an exception to this is for the Vanderbilt BioVU study, from which 350 controls were scanned).]]>