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dc.contributor.authorChristensen, GB
dc.contributor.authorBaffoe-Bonnie, AB
dc.contributor.authorGeorge, A
dc.contributor.authorPowell, I
dc.contributor.authorBailey-Wilson, JE
dc.contributor.authorCarpten, JD
dc.contributor.authorGiles, GG
dc.contributor.authorHopper, JL
dc.contributor.authorSeveri, G
dc.contributor.authorEnglish, DR
dc.contributor.authorFoulkes, WD
dc.contributor.authorMaehle, L
dc.contributor.authorMoller, P
dc.contributor.authorEeles, R
dc.contributor.authorEaston, D
dc.contributor.authorBadzioch, MD
dc.contributor.authorWhittemore, AS
dc.contributor.authorOakley-Girvan, I
dc.contributor.authorHsieh, C-L
dc.contributor.authorDimitrov, L
dc.contributor.authorXu, J
dc.contributor.authorStanford, JL
dc.contributor.authorJohanneson, B
dc.contributor.authorDeutsch, K
dc.contributor.authorMcIntosh, L
dc.contributor.authorOstrander, EA
dc.contributor.authorWiley, KE
dc.contributor.authorIsaacs, SD
dc.contributor.authorWalsh, PC
dc.contributor.authorIsaacs, WB
dc.contributor.authorThibodeau, SN
dc.contributor.authorMcDonnell, SK
dc.contributor.authorHebbring, S
dc.contributor.authorSchaid, DJ
dc.contributor.authorLange, EM
dc.contributor.authorCooney, KA
dc.contributor.authorTammela, TLJ
dc.contributor.authorSchleutker, J
dc.contributor.authorPaiss, T
dc.contributor.authorMaier, C
dc.contributor.authorGrönberg, H
dc.contributor.authorWiklund, F
dc.contributor.authorEmanuelsson, M
dc.contributor.authorFarnham, JM
dc.contributor.authorCannon-Albright, LA
dc.contributor.authorCamp, NJ
dc.contributor.authorInternational Consortium for Prostate Cancer Genetics
dc.date.accessioned2018-06-13T11:35:05Z
dc.date.issued2010-05
dc.identifier.citationThe Prostate, 2010, 70 (7), pp. 735 - 744
dc.identifier.issn0270-4137
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/1861
dc.identifier.eissn1097-0045
dc.identifier.doi10.1002/pros.21106
dc.description.abstractBackground Prostate cancer (PC) is generally believed to have a strong inherited component, but the search for susceptibility genes has been hindered by the effects of genetic heterogeneity. The recently developed sumLINK and sumLOD statistics are powerful tools for linkage analysis in the presence of heterogeneity.Methods We performed a secondary analysis of 1,233 PC pedigrees from the International Consortium for Prostate Cancer Genetics (ICPCG) using two novel statistics, the sumLINK and sumLOD. For both statistics, dominant and recessive genetic models were considered. False discovery rate (FDR) analysis was conducted to assess the effects of multiple testing.Results Our analysis identified significant linkage evidence at chromosome 22q12, confirming previous findings by the initial conventional analyses of the same ICPCG data. Twelve other regions were identified with genome-wide suggestive evidence for linkage. Seven regions (1q23, 5q11, 5q35, 6p21, 8q12, 11q13, 20p11-q11) are near loci previously identified in the initial ICPCG pooled data analysis or the subset of aggressive PC pedigrees. Three other regions (1p12, 8p23, 19q13) confirm loci reported by others, and two (2p24, 6q27) are novel susceptibility loci. FDR testing indicates that over 70% of these results are likely true positive findings. Statistical recombinant mapping narrowed regions to an average of 9 cM.Conclusions Our results represent genomic regions with the greatest consistency of positive linkage evidence across a very large collection of high-risk PC pedigrees using new statistical tests that deal powerfully with heterogeneity. These regions are excellent candidates for further study to identify PC predisposition genes.
dc.formatPrint
dc.format.extent735 - 744
dc.languageeng
dc.language.isoeng
dc.subjectInternational Consortium for Prostate Cancer Genetics
dc.subjectChromosomes, Human, Pair 22
dc.subjectHumans
dc.subjectProstatic Neoplasms
dc.subjectGenetic Predisposition to Disease
dc.subjectChromosome Mapping
dc.subjectPedigree
dc.subjectGenotype
dc.subjectGenome, Human
dc.subjectMale
dc.subjectGenome-Wide Association Study
dc.subjectGenetic Linkage
dc.titleGenome-wide linkage analysis of 1,233 prostate cancer pedigrees from the International Consortium for Prostate Cancer Genetics using novel sumLINK and sumLOD analyses.
dc.typeJournal Article
rioxxterms.versionofrecord10.1002/pros.21106
rioxxterms.licenseref.startdate2010-05
rioxxterms.typeJournal Article/Review
dc.relation.isPartOfThe Prostate
pubs.issue7
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
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.publication-statusPublished
pubs.volume70en_US
pubs.embargo.termsNot known
icr.researchteamOncogeneticsen_US
dc.contributor.icrauthorEeles, Rosalinden


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