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dc.contributor.authorLindström, S
dc.contributor.authorFinucane, H
dc.contributor.authorBulik-Sullivan, B
dc.contributor.authorSchumacher, FR
dc.contributor.authorAmos, CI
dc.contributor.authorHung, RJ
dc.contributor.authorRand, K
dc.contributor.authorGruber, SB
dc.contributor.authorConti, D
dc.contributor.authorPermuth, JB
dc.contributor.authorLin, H-Y
dc.contributor.authorGoode, EL
dc.contributor.authorSellers, TA
dc.contributor.authorAmundadottir, LT
dc.contributor.authorStolzenberg-Solomon, R
dc.contributor.authorKlein, A
dc.contributor.authorPetersen, G
dc.contributor.authorRisch, H
dc.contributor.authorWolpin, B
dc.contributor.authorHsu, L
dc.contributor.authorHuyghe, JR
dc.contributor.authorChang-Claude, J
dc.contributor.authorChan, A
dc.contributor.authorBerndt, S
dc.contributor.authorEeles, R
dc.contributor.authorEaston, D
dc.contributor.authorHaiman, CA
dc.contributor.authorHunter, DJ
dc.contributor.authorNeale, B
dc.contributor.authorPrice, AL
dc.contributor.authorKraft, P
dc.contributor.authorPanScan, GECCO and the GAME-ON Network: CORECT, DRIVE, ELLIPSE, FOCI, and TRICL-ILCCO,
dc.date.accessioned2017-11-01T15:31:31Z
dc.date.issued2017-09-01
dc.identifier.citationCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2017, 26 (9), pp. 1427 - 1435
dc.identifier.issn1055-9965
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/892
dc.identifier.eissn1538-7755
dc.identifier.doi10.1158/1055-9965.epi-17-0211
dc.description.abstractBackground: Many cancers share specific genetic risk factors, including both rare high-penetrance mutations and common SNPs identified through genome-wide association studies (GWAS). However, little is known about the overall shared heritability across cancers. Quantifying the extent to which two distinct cancers share genetic origin will give insights to shared biological mechanisms underlying cancer and inform design for future genetic association studies.Methods: In this study, we estimated the pair-wise genetic correlation between six cancer types (breast, colorectal, lung, ovarian, pancreatic, and prostate) using cancer-specific GWAS summary statistics data based on 66,958 case and 70,665 control subjects of European ancestry. We also estimated genetic correlations between cancers and 14 noncancer diseases and traits.Results: After adjusting for 15 pair-wise genetic correlation tests between cancers, we found significant (P < 0.003) genetic correlations between pancreatic and colorectal cancer (rg = 0.55, P = 0.003), lung and colorectal cancer (rg = 0.31, P = 0.001). We also found suggestive genetic correlations between lung and breast cancer (rg = 0.27, P = 0.009), and colorectal and breast cancer (rg = 0.22, P = 0.01). In contrast, we found no evidence that prostate cancer shared an appreciable proportion of heritability with other cancers. After adjusting for 84 tests studying genetic correlations between cancer types and other traits (Bonferroni-corrected P value: 0.0006), only the genetic correlation between lung cancer and smoking remained significant (rg = 0.41, P = 1.03 × 10-6). We also observed nominally significant genetic correlations between body mass index and all cancers except ovarian cancer.Conclusions: Our results highlight novel genetic correlations and lend support to previous observational studies that have observed links between cancers and risk factors.Impact: This study demonstrates modest genetic correlations between cancers; in particular, breast, colorectal, and lung cancer share some degree of genetic basis. Cancer Epidemiol Biomarkers Prev; 26(9); 1427-35. ©2017 AACR.
dc.formatPrint-Electronic
dc.format.extent1427 - 1435
dc.languageeng
dc.language.isoeng
dc.publisherAMER ASSOC CANCER RESEARCH
dc.rights.urihttps://www.rioxx.net/licenses/all-rights-reserved
dc.subjectPanScan, GECCO and the GAME-ON Network: CORECT, DRIVE, ELLIPSE, FOCI, and TRICL-ILCCO
dc.subjectHumans
dc.subjectNeoplasms
dc.subjectGenetic Predisposition to Disease
dc.subjectRisk Factors
dc.subjectFemale
dc.subjectMale
dc.subjectGenetic Variation
dc.subjectGenome-Wide Association Study
dc.titleQuantifying the Genetic Correlation between Multiple Cancer Types.
dc.typeJournal Article
dcterms.dateAccepted2017-06-06
rioxxterms.funderThe Institute of Cancer Research
rioxxterms.identifier.projectUnspecified
rioxxterms.versionofrecord10.1158/1055-9965.epi-17-0211
rioxxterms.licenseref.urihttps://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2017-09
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.issue9
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/Oncogenetics
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Oncogenetics
pubs.organisational-group/ICR/Primary Group/Royal Marsden Clinical Units
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/Oncogenetics
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Oncogenetics
pubs.organisational-group/ICR/Primary Group/Royal Marsden Clinical Units
pubs.publication-statusPublished
pubs.volume26
pubs.embargo.termsNot known
icr.researchteamOncogenetics
dc.contributor.icrauthorEeles, Rosalind


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