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dc.contributor.authorPurdue, MP
dc.contributor.authorSong, L
dc.contributor.authorScélo, G
dc.contributor.authorHoulston, RS
dc.contributor.authorWu, X
dc.contributor.authorSakoda, LC
dc.contributor.authorThai, K
dc.contributor.authorGraff, RE
dc.contributor.authorRothman, N
dc.contributor.authorBrennan, P
dc.contributor.authorChanock, SJ
dc.contributor.authorYu, K
dc.date.accessioned2020-08-26T14:56:52Z
dc.date.issued2020-10
dc.identifier.citationCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2020, 29 (10), pp. 2065 - 2069
dc.identifier.issn1055-9965
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/4020
dc.identifier.eissn1538-7755
dc.identifier.doi10.1158/1055-9965.epi-20-0472
dc.description.abstractBackground Much of the heritable risk of renal cell carcinoma (RCC) associated with common genetic variation is unexplained. New analytic approaches have been developed to increase the discovery of risk variants in genome-wide association studies (GWAS), including multi-locus testing through pathway analysis.Methods We conducted a pathway analysis using GWAS summary data from six previous scans (10,784 cases and 20,406 controls) and evaluated 3,678 pathways and gene sets drawn from the Molecular Signatures Database. To replicate findings, we analyzed GWAS summary data from the UK Biobank (903 cases and 451,361 controls) and the Genetic Epidemiology Research on Adult Health and Aging cohort (317 cases and 50,511 controls).Results We identified 14 pathways/gene sets associated with RCC in both the discovery ( P < 1.36 × 10 -5 , the Bonferroni correction threshold) and replication ( P < 0.05) sets, 10 of which include components of the PI3K/AKT pathway. In tests across 2,035 genes in these pathways, associations (Bonferroni corrected P < 2.46 × 10 -5 in discovery and replication sets combined) were observed for CASP9, TIPIN , and CDKN2C . The strongest SNP signal was for rs12124078 ( P Discovery = 2.6 × 10 -5 ; P Replication = 1.5 × 10 -4 ; P Combined = 6.9 × 10 -8 ), a CASP9 expression quantitative trait locus.Conclusions Our pathway analysis implicates genetic variation within the PI3K/AKT pathway as a source of RCC heritability and identifies several promising novel susceptibility genes, including CASP9 , which warrant further investigation.Impact Our findings illustrate the value of pathway analysis as a complementary approach to analyzing GWAS data.
dc.formatPrint-Electronic
dc.format.extent2065 - 2069
dc.languageeng
dc.language.isoeng
dc.rights.urihttps://www.rioxx.net/licenses/under-embargo-all-rights-reserved
dc.titlePathway Analysis of Renal Cell Carcinoma Genome-Wide Association Studies Identifies Novel Associations.
dc.typeJournal Article
dcterms.dateAccepted2020-07-23
rioxxterms.versionofrecord10.1158/1055-9965.epi-20-0472
rioxxterms.licenseref.urihttps://www.rioxx.net/licenses/under-embargo-all-rights-reserved
rioxxterms.licenseref.startdate2020-10
rioxxterms.typeJournal Article/Review
dc.relation.isPartOfCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
pubs.issue10
pubs.notesNot known
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Genetics and Epidemiology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Genetics and Epidemiology/Cancer Genomics
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Genetics and Epidemiology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Genetics and Epidemiology/Cancer Genomics
pubs.publication-statusPublished
pubs.volume29
pubs.embargo.termsNot known
icr.researchteamCancer Genomicsen_US
dc.contributor.icrauthorHoulston, Richarden


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