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dc.contributor.authorKarunamuni, RA
dc.contributor.authorHuynh-Le, M-P
dc.contributor.authorFan, CC
dc.contributor.authorEeles, RA
dc.contributor.authorEaston, DF
dc.contributor.authorKote-Jarai, Z
dc.contributor.authorAmin Al Olama, A
dc.contributor.authorBenlloch Garcia, S
dc.contributor.authorMuir, K
dc.contributor.authorGronberg, H
dc.contributor.authorWiklund, F
dc.contributor.authorAly, M
dc.contributor.authorSchleutker, J
dc.contributor.authorSipeky, C
dc.contributor.authorTammela, TLJ
dc.contributor.authorNordestgaard, BG
dc.contributor.authorKey, TJ
dc.contributor.authorTravis, RC
dc.contributor.authorNeal, DE
dc.contributor.authorDonovan, JL
dc.contributor.authorHamdy, FC
dc.contributor.authorPharoah, P
dc.contributor.authorPashayan, N
dc.contributor.authorKhaw, K-T
dc.contributor.authorThibodeau, SN
dc.contributor.authorMcDonnell, SK
dc.contributor.authorSchaid, DJ
dc.contributor.authorMaier, C
dc.contributor.authorVogel, W
dc.contributor.authorLuedeke, M
dc.contributor.authorHerkommer, K
dc.contributor.authorKibel, AS
dc.contributor.authorCybulski, C
dc.contributor.authorWokolorczyk, D
dc.contributor.authorKluzniak, W
dc.contributor.authorCannon-Albright, L
dc.contributor.authorBrenner, H
dc.contributor.authorSchöttker, B
dc.contributor.authorHolleczek, B
dc.contributor.authorPark, JY
dc.contributor.authorSellers, TA
dc.contributor.authorLin, H-Y
dc.contributor.authorSlavov, C
dc.contributor.authorKaneva, R
dc.contributor.authorMitev, V
dc.contributor.authorBatra, J
dc.contributor.authorClements, JA
dc.contributor.authorSpurdle, A
dc.contributor.authorAustralian Prostate Cancer BioResource (APCB)
dc.contributor.authorTeixeira, MR
dc.contributor.authorPaulo, P
dc.contributor.authorMaia, S
dc.contributor.authorPandha, H
dc.contributor.authorMichael, A
dc.contributor.authorMills, IG
dc.contributor.authorAndreassen, OA
dc.contributor.authorDale, AM
dc.contributor.authorSeibert, TM
dc.contributor.authorPRACTICAL Consortium
dc.date.accessioned2021-08-20T14:44:44Z
dc.date.available2021-08-20T14:44:44Z
dc.identifier.citationEuropean journal of human genetics : EJHG, 2020, 28 (10), pp. 1467 - 1475
dc.identifier.issn1018-4813
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/4770
dc.identifier.eissn1476-5438
dc.identifier.eissn1476-5438en_US
dc.identifier.doi10.1038/s41431-020-0664-2
dc.identifier.doi10.1038/s41431-020-0664-2en_US
dc.description.abstractWe determined the effect of sample size on performance of polygenic hazard score (PHS) models in prostate cancer. Age and genotypes were obtained for 40,861 men from the PRACTICAL consortium. The dataset included 201,590 SNPs per subject, and was split into training and testing sets. Established-SNP models considered 65 SNPs that had been previously associated with prostate cancer. Discovery-SNP models used stepwise selection to identify new SNPs. The performance of each PHS model was calculated for random sizes of the training set. The performance of a representative Established-SNP model was estimated for random sizes of the testing set. Mean HR<sub>98/50</sub> (hazard ratio of top 2% to average in test set) of the Established-SNP model increased from 1.73 [95% CI: 1.69-1.77] to 2.41 [2.40-2.43] when the number of training samples was increased from 1 thousand to 30 thousand. Corresponding HR<sub>98/50</sub> of the Discovery-SNP model increased from 1.05 [0.93-1.18] to 2.19 [2.16-2.23]. HR<sub>98/50</sub> of a representative Established-SNP model using testing set sample sizes of 0.6 thousand and 6 thousand observations were 1.78 [1.70-1.85] and 1.73 [1.71-1.76], respectively. We estimate that a study population of 20 thousand men is required to develop Discovery-SNP PHS models while 10 thousand men should be sufficient for Established-SNP models.
dc.formatPrint-Electronic
dc.format.extent1467 - 1475
dc.languageeng
dc.language.isoeng
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserved
dc.subjectAustralian Prostate Cancer BioResource (APCB)
dc.subjectPRACTICAL Consortium
dc.subjectHumans
dc.subjectProstatic Neoplasms
dc.subjectProportional Hazards Models
dc.subjectSample Size
dc.subjectMultifactorial Inheritance
dc.subjectPolymorphism, Single Nucleotide
dc.subjectModels, Genetic
dc.subjectMale
dc.subjectClinical Trials as Topic
dc.subjectGenome-Wide Association Study
dc.titleThe effect of sample size on polygenic hazard models for prostate cancer.
dc.typeJournal Article
dcterms.dateAccepted2020-05-22
rioxxterms.versionAM
rioxxterms.versionofrecord10.1038/s41431-020-0664-2
dc.relation.isPartOfEuropean journal of human genetics : EJHG
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/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.volume28en_US
pubs.embargo.termsNot known
icr.researchteamOncogenetics
icr.researchteamOncogeneticsen_US
dc.contributor.icrauthorEeles, Rosalinden
dc.contributor.icrauthorKote-Jarai, Zsofiaen


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