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dc.contributor.authorLindstrom, Sara
dc.contributor.authorSchumacher, Fredrick
dc.contributor.authorSiddiq, Afshan
dc.contributor.authorTravis, Ruth C.
dc.contributor.authorCampa, Daniele
dc.contributor.authorBerndt, Sonja I.
dc.contributor.authorDiver, W. Ryan
dc.contributor.authorSeveri, Gianluca
dc.contributor.authorAllen, Naomi
dc.contributor.authorAndriole, Gerald
dc.contributor.authorBueno-de-Mesquita, Bas
dc.contributor.authorChanock, Stephen J.
dc.contributor.authorCrawford, David
dc.contributor.authorGaziano, J. Michael
dc.contributor.authorGiles, Graham G.
dc.contributor.authorGiovannucci, Edward
dc.contributor.authorGuo, Carolyn
dc.contributor.authorHaiman, Christopher A.
dc.contributor.authorHayes, Richard B.
dc.contributor.authorHalkjaer, Jytte
dc.contributor.authorHunter, David J.
dc.contributor.authorJohansson, Mattias
dc.contributor.authorKaaks, Rudolf
dc.contributor.authorKolonel, Laurence N.
dc.contributor.authorNavarro, Carmen
dc.contributor.authorRiboli, Elio
dc.contributor.authorSacerdote, Carlotta
dc.contributor.authorStampfer, Meir
dc.contributor.authorStram, Daniel O.
dc.contributor.authorThun, Michael J.
dc.contributor.authorTrichopoulos, Dimitrios
dc.contributor.authorVirtamo, Jarmo
dc.contributor.authorWeinstein, Stephanie J.
dc.contributor.authorYeager, Meredith
dc.contributor.authorHenderson, Brian
dc.contributor.authorMa, Jing
dc.contributor.authorLe Marchand, Loic
dc.contributor.authorAlbanes, Demetrius
dc.contributor.authorKraft, Peter
dc.contributor.authorDubé, Marie-Pierre
dc.date.accessioned2019-09-05T18:09:40Z
dc.date.issued2011
dc.identifier.citationLindstrom, Sara, Fredrick Schumacher, Afshan Siddiq, Ruth C. Travis, Daniele Campa, Sonja I. Berndt, W. Ryan Diver, et al. 2011. “Characterizing Associations and SNP-Environment Interactions for GWAS-Identified Prostate Cancer Risk Markers—Results from BPC3.” Edited by Marie-Pierre Dubé. PLoS ONE 6 (2): e17142. https://doi.org/10.1371/journal.pone.0017142.
dc.identifier.issn1932-6203
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:41292616*
dc.description.abstractGenome-wide association studies (GWAS) have identified multiple single nucleotide polymorphisms (SNPs) associated with prostate cancer risk. However, whether these associations can be consistently replicated, vary with disease aggressiveness (tumor stage and grade) and/or interact with non-genetic potential risk factors or other SNPs is unknown. We therefore genotyped 39 SNPs from regions identified by several prostate cancer GWAS in 10,501 prostate cancer cases and 10,831 controls from the NCI Breast and Prostate Cancer Cohort Consortium (BPC3). We replicated 36 out of 39 SNPs (P-values ranging from 0.01 to 10(-28)). Two SNPs located near KLK3 associated with PSA levels showed differential association with Gleason grade (rs2735839, P = 0.0001 and rs266849, P = 0.0004; case-only test), where the alleles associated with decreasing PSA levels were inversely associated with low-grade (as defined by Gleason grade,8) tumors but positively associated with high-grade tumors. No other SNP showed differential associations according to disease stage or grade. We observed no effect modification by SNP for association with age at diagnosis, family history of prostate cancer, diabetes, BMI, height, smoking or alcohol intake. Moreover, we found no evidence of pair-wise SNP-SNP interactions. While these SNPs represent new independent risk factors for prostate cancer, we saw little evidence for effect modification by other SNPs or by the environmental factors examined.
dc.language.isoen_US
dc.publisherPublic Library of Science
dash.licenseLAA
dc.titleCharacterizing Associations and SNP-Environment Interactions for GWAS-Identified Prostate Cancer Risk Markers—Results from BPC3
dc.typeJournal Article
dc.description.versionVersion of Record
dc.relation.journalPloS One
dash.depositing.authorStampfer, Meir
dc.date.available2019-09-05T18:09:40Z
dash.workflow.comments1Science Serial ID 84005
dc.identifier.doi10.1371/journal.pone.0017142
dash.source.volume6;2
dash.contributor.affiliatedStampfer, Meir


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