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Record W2999963688 · doi:10.1101/19012237

Polygenic hazard score is associated with prostate cancer in multi-ethnic populations

2019· preprint· en· W2999963688 on OpenAlexaff
Minh‐Phuong Huynh‐Le, Chun Chieh Fan, Roshan Karunamuni, Wesley K. Thompson, Marı́a Elena Martı́nez, Rosalind A. Eeles, Zsofia Kote‐Jarai, Kenneth Muir, Johanna Schleutker, Nora Pashayan, Jyotsna Batra, Henrik Grönberg, David E. Neal, Jenny Donovan, Freddie C. Hamdy, Richard M. Martin, Sune F. Nielsen, Børge G. Nordestgaard, Fredrik Wiklund, Catherine M. Tangen, Graham G. Giles, Alicja Wolk, Demetrius Albanes, Ruth C. Travis, William J. Blot, Wei Zheng, Maureen Sanderson, Janet L. Stanford, Lorelei A. Mucci, Catharine West, Adam S. Kibel, Olivier Cussenot, Sonja I. Berndt, Stella Koutros, Karina D. Sørensen, Cezary Cybulski, Eli Marie Grindedal, F. Ménégaux, Kay-Tee Khaw, Jong Y. Park, Sue A. Ingles, Christiane Maier, Robert J. Hamilton, Stephen N. Thibodeau, Barry S. Rosenstein, Yong‐Jie Lu, Stephen Watya, Ana Vega, Manolis Kogevinas, Kathryn L. Penney, Chad D. Huff, Manuel R. Teixeira, Luc Multigner, Robin J. Leach, Lisa Cannon‐Albright, Hermann Brenner, Esther M. John, Radka Kaneva, Christopher J. Logothetis, Susan L. Neuhausen, Kim De Ruyck, Hardev Pandha, Azad Razack, Lisa F. Newcomb, Jay H. Fowke, Marija Gamulin, Nawaid Usmani, Frank Claessens, Manuela Gago-Domínguez, Paul A. Townsend, William S. Bush, Shiv Srivastava, Monique J. Roobol, Marie‐Élise Parent, Jennifer J. Hu, Ian G. Mills, Ole A. Andreassen, Anders M. Dale, Tyler M. Seibert

Bibliographic record

VenuemedRxiv · 2019
Typepreprint
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsUniversité de MontréalUniversity of AlbertaInstitut National de la Recherche ScientifiquePrincess Margaret Cancer CentreUniversity of TorontoInstitute of Cancer Research
FundersNorges ForskningsrådNational Institute for Health and Care ResearchNIHR Bristol Biomedical Research CentreDepartment of Health and Social CareCancer Research UKU.S. Department of Defense
KeywordsProstate cancerMedicineProportional hazards modelHazard ratioEthnic groupInternal medicineGenotypeOncologySingle-nucleotide polymorphismDemographyAncestry-informative markerGynecologyCancerBiologyGeneticsGene

Abstract

fetched live from OpenAlex

Abstract Objectives A polygenic hazard score (PHS 1 )—weighted sum of 54 single-nucleotide polymorphism genotypes—was previously associated with age at prostate cancer (PCa) diagnosis and improved PCa screening accuracy in Europeans. Performance in more diverse populations is unknown. We evaluated PHS association with PCa in multi-ethnic populations. Design PHS 1 was adapted for compatibility with genotype data from the OncoArray project (PHS 2 ) and tested for association with age at PCa diagnosis, at aggressive PCa diagnosis, and at PCa death. Setting Multiple international institutions. Participants Men with available OncoArray data from the PRACTICAL consortium who were not included in PHS 1 development/validation. Main Outcomes and Measures PHS 2 was tested via Cox proportional hazards models for age at PCa diagnosis, age at aggressive PCa diagnosis (any of: Gleason score ≥7, stage T3-T4, PSA≥10 ng/mL, nodal/distant metastasis), and age at PCa-specific death. Results 80,491 men of various self-reported race/ethnicities were included (30,575 controls, 49,916 PCa cases; genetic ancestry groups: 71,856 European, 6,253 African, 2,382 Asian). Median age at last follow-up was 70 years (IQR 63-76); 3,983 PCa deaths, 5,806 other deaths, 70,702 still alive. PHS 2 had 46 polymorphisms: 24 directly genotyped and 22 acceptable proxies (r 2 ≥0.94). PHS 2 was associated with age at PCa diagnosis in the multi-ethnic dataset (z=54, p<10 -16 ) and in each genetic ancestry group: European (z=56, p<10 -16 ), Asian (z=47, p <10 -16 ), African (z=29, p <10 -16 ). PHS 2 was also associated with age at aggressive PCa diagnosis in each genetic ancestry group (p<10 -16 ) and with age of PCa death in the full dataset ( p <10 -16 ). Comparing the 80 th and 20 th percentiles of genetic risk, men with high PHS had hazard ratios of 5.3 [95% CI: 5.0-5.7], 5.9 [5.5-6.3], and 5.7 [4.6-7.0] for PCa, aggressive PCa, and PCa-specific death, respectively. Within European, Asian, and African ancestries, analogous hazard ratios for PCa were 5.5 [5.2-5.9], 4.5 [3.2-6.3], and 2.5 [2.1-3.1], respectively. Conclusions PHS 2 is strongly associated with age at PCa diagnosis in a multi-ethnic dataset. PHS 2 stratifies men of European, Asian, and African ancestry by genetic risk for any, aggressive, and fatal PCa. Summary boxes What is already known on this topic Genetic risk stratification can identify men with greater predisposition for developing prostate cancer, but these risk models may worsen health disparities, as most have only been validated for men of European ancestry A polygenic hazard score was previously associated with age at prostate cancer diagnosis and improved PCa screening accuracy in Europeans Performance of the polygenic hazard score in multi-ethnic populations is unknown What this study adds In a dataset from 80,491 men of various self-reported race/ethnicities, the polygenic hazard score was associated with age at prostate cancer diagnosis, aggressive prostate cancer diagnosis, and prostate cancer death. PHS stratifies men of European, Asian, and African ancestry by genetic risk for any, aggressive, and fatal prostate cancer.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.132
GPT teacher head0.395
Teacher spread0.263 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations13
Published2019
Admission routes1
Has abstractyes

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