2021
DOI: 10.1038/s41467-021-21287-0
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Polygenic hazard score is associated with prostate cancer in multi-ethnic populations

Abstract: Genetic models for cancer have been evaluated using almost exclusively European data, which could exacerbate health disparities. A polygenic hazard score (PHS1) is associated with age at prostate cancer diagnosis and improves screening accuracy in Europeans. Here, we evaluate performance of PHS2 (PHS1, adapted for OncoArray) in a multi-ethnic dataset of 80,491 men (49,916 cases, 30,575 controls). PHS2 is associated with age at diagnosis of any and aggressive (Gleason score ≥ 7, stage T3-T4, PSA ≥ 10 ng/mL, or … Show more

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Cited by 45 publications
(70 citation statements)
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References 53 publications
(42 reference statements)
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“…Furthermore, we found that risk stratification with PHS290 improved accuracy of PSA testing, as assessed by probability of a positive PSA test leading to a diagnosis of clinically significant cancer on biopsy. Consistent with a prior study 8 , this improvement in PPV of PSA testing was not better when using PHS290 than when using PHS46 in this dataset 2 . PPV analyses in larger datasets could permit finer granularity for age-specific genetic risk to assess whether the increased HRs of PHS290 might translate to better performance of PSA testing than that achieved already with PHS46.…”
Section: Discussionsupporting
confidence: 90%
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“…Furthermore, we found that risk stratification with PHS290 improved accuracy of PSA testing, as assessed by probability of a positive PSA test leading to a diagnosis of clinically significant cancer on biopsy. Consistent with a prior study 8 , this improvement in PPV of PSA testing was not better when using PHS290 than when using PHS46 in this dataset 2 . PPV analyses in larger datasets could permit finer granularity for age-specific genetic risk to assess whether the increased HRs of PHS290 might translate to better performance of PSA testing than that achieved already with PHS46.…”
Section: Discussionsupporting
confidence: 90%
“…Identification of men at greatest risk of developing prostate cancer remains an important challenge. Risk stratification using common genetic markers, such as singlenucleotide polymorphisms (SNPs), shows promise toward more effectively identifying men at greatest risk of developing aggressive or fatal prostate cancer 1,2 . Analyses of benefit, harm, and cost-effectiveness support use of genomic risk stratification to guide prostate cancer screening 3,4 .…”
Section: Introductionmentioning
confidence: 99%
“…A polygenic hazard score (PHS)—the weighted sum of approximately 50 single-nucleotide polymorphisms (SNPs)—has been developed and validated as independently associated with age at prostate cancer diagnosis. Though the association was not specific for fatal cancers, PHS was also associated with age at prostate cancer death 2 , 16 , 17 . The goal of the present work was to determine whether PHS improves stratification of risk for prostate cancer death beyond that achieved with clinical variables available in the Cohort of Swedish Men (COSM) 18 .…”
Section: Introductionmentioning
confidence: 79%
“…Genetic risk models have emerged as potentially useful tools that identify individuals with greater risk for being diagnosied with prostate cancer 4,5 , and so help inform if and when to initiate screening for an individual. A subset of these models called polygenic hazard scores (PHS) seeks to directly identify associations between common genetic variants and the age of diagnosis of prostate cancer by utilizing the framework of time-to-event analyses 1,6 .…”
Section: Introductionmentioning
confidence: 99%
“…We have previously reported on a PHS model for prostate cancer, PHS46, that demonstrated excellent performance in an independent test set of men from varied genetic ancestries 6 . The model incorporates genetic data of 46 unique single nucleotide polymorphisms (SNPs), and was identified through a systematic search of European men genotyped on the iCOGS chipset (Illumina, San Diego, CA).…”
Section: Introductionmentioning
confidence: 99%