PGS Publication: PGP000850

Publication Information (EuropePMC)
Title Identifying shared polygenic risk across cancers.
PubMed ID 42758802(Europe PMC)
doi 10.1371/journal.pgen.1012308
Publication Date Sept. 18, 2026
Journal PLoS Genet
Author(s) Hu J, Muheyati M, Xu L, DeWan A, Zhao H.
Released in PGS Catalog: Oct. 23, 2026

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
Display options:
Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported

PGS Developed By This Publication

Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution
GWAS
Dev
Eval
Scoring File (FTP Link)
PGS019984
(ThyGland)
PGP000850 |
Hu J et al. PLoS Genet (2026)
Thyroid gland cancer thyroid gland carcinoma 1,083,370
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019984/ScoringFiles/PGS019984.txt.gz
PGS019983
(Testis)
PGP000850 |
Hu J et al. PLoS Genet (2026)
Testis cancer testicular cancer 1,083,407
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019983/ScoringFiles/PGS019983.txt.gz
PGS019980
(Pancreas)
PGP000850 |
Hu J et al. PLoS Genet (2026)
Pancreas cancer exocrine pancreatic carcinoma 1,083,386
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019980/ScoringFiles/PGS019980.txt.gz
PGS019979
(Ovary)
PGP000850 |
Hu J et al. PLoS Genet (2026)
Ovarian cancer ovarian cancer 1,048,838
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019979/ScoringFiles/PGS019979.txt.gz
PGS019978
(Oropharynx)
PGP000850 |
Hu J et al. PLoS Genet (2026)
Oropharyngeal cancer oropharynx cancer 1,083,588
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019978/ScoringFiles/PGS019978.txt.gz
PGS019977
(OralCavity)
PGP000850 |
Hu J et al. PLoS Genet (2026)
Oral cavity cancer oral cavity cancer 1,083,407
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019977/ScoringFiles/PGS019977.txt.gz
PGS019975
(NHL)
PGP000850 |
Hu J et al. PLoS Genet (2026)
Non-Hodgkin's lymphoma non-Hodgkin lymphoma 1,083,395
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019975/ScoringFiles/PGS019975.txt.gz
PGS019974
(Nasopharynx)
PGP000850 |
Hu J et al. PLoS Genet (2026)
Nasopharyngeal cancer nasopharyngeal carcinoma 1,083,569
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019974/ScoringFiles/PGS019974.txt.gz
PGS019973
(MultiMyelema)
PGP000850 |
Hu J et al. PLoS Genet (2026)
Multiple myeloma plasma cell myeloma 1,083,375
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019973/ScoringFiles/PGS019973.txt.gz
PGS019972
(MSC)
PGP000850 |
Hu J et al. PLoS Genet (2026)
Melanoma (skin) melanoma 1,083,386
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019972/ScoringFiles/PGS019972.txt.gz
PGS019967
(CLL)
PGP000850 |
Hu J et al. PLoS Genet (2026)
Chronic lymphocytic leukemia and small lymphocitis leukemia chronic lymphocytic leukemia/small lymphocytic lymphoma 1,083,426
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019967/ScoringFiles/PGS019967.txt.gz
PGS019971
(Lung)
PGP000850 |
Hu J et al. PLoS Genet (2026)
Lung cancer lung cancer 950,353
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019971/ScoringFiles/PGS019971.txt.gz
PGS019970
(Kidney)
PGP000850 |
Hu J et al. PLoS Genet (2026)
Kidney cancer kidney cancer 1,083,402
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019970/ScoringFiles/PGS019970.txt.gz
PGS019968
(CML)
PGP000850 |
Hu J et al. PLoS Genet (2026)
Chronic myeloid leukemia chronic myeloid leukemia 1,083,473
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019968/ScoringFiles/PGS019968.txt.gz
PGS019966
(CervixUteri)
PGP000850 |
Hu J et al. PLoS Genet (2026)
Cervix uteri cancer cervical cancer 1,083,447
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019966/ScoringFiles/PGS019966.txt.gz
PGS019965
(Breast)
PGP000850 |
Hu J et al. PLoS Genet (2026)
Breast cancer breast cancer 1,044,110
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019965/ScoringFiles/PGS019965.txt.gz
PGS019964
(Brain)
PGP000850 |
Hu J et al. PLoS Genet (2026)
Brain cancer brain cancer 1,083,386
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019964/ScoringFiles/PGS019964.txt.gz
PGS019963
(Bladder)
PGP000850 |
Hu J et al. PLoS Genet (2026)
Bladder cancer urinary bladder cancer 1,083,375
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019963/ScoringFiles/PGS019963.txt.gz
PGS019962
(AML)
PGP000850 |
Hu J et al. PLoS Genet (2026)
Acute myeloid leukemia acute myeloid leukemia 1,083,494
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019962/ScoringFiles/PGS019962.txt.gz
PGS019961
(ALL)
PGP000850 |
Hu J et al. PLoS Genet (2026)
Acute lymphocytic leukemia acute lymphoblastic leukemia 1,083,523
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019961/ScoringFiles/PGS019961.txt.gz
PGS019969
(Colorectal)
PGP000850 |
Hu J et al. PLoS Genet (2026)
Colorectal cancer colorectal cancer 1,083,414
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019969/ScoringFiles/PGS019969.txt.gz
PGS019976
(NMSC)
PGP000850 |
Hu J et al. PLoS Genet (2026)
Non-melanoma skin Cancer skin cancer 1,083,386
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019976/ScoringFiles/PGS019976.txt.gz
PGS019981
(Prostate)
PGP000850 |
Hu J et al. PLoS Genet (2026)
Prostate cancer prostate cancer 1,016,708
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019981/ScoringFiles/PGS019981.txt.gz
PGS019982
(Stomach)
PGP000850 |
Hu J et al. PLoS Genet (2026)
Stomach cancer gastric cancer 1,083,401
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019982/ScoringFiles/PGS019982.txt.gz

Performance Metrics

Disclaimer: The performance metrics are displayed as reported by the source studies. It is important to note that metrics are not necessarily comparable with each other. For example, metrics depend on the sample characteristics (described by the PGS Catalog Sample Set [PSS] ID), phenotyping, and statistical modelling. Please refer to the source publication for additional guidance on performance.

PGS Performance
Metric ID (PPM)
Evaluated Score PGS Sample Set ID
(PSS)
Performance Source Trait PGS Effect Sizes
(per SD change)
Classification Metrics Other Metrics Covariates Included in the Model PGS Performance:
Other Relevant Information
PPM038168 PGS019962
(AML)
PSS013856|
European Ancestry|
352,267 individuals
PGP000850 |
Hu J et al. PLoS Genet (2026)
Reported Trait: Acute Myeloid Leukemia OR: 1.03 [0.96, 1.1] AUROC: 0.51 [0.49, 0.53] — — —
PPM038171 PGS019965
(Breast)
PSS013859|
European Ancestry|
212,649 individuals
PGP000850 |
Hu J et al. PLoS Genet (2026)
Reported Trait: Breast cancer OR: 1.82 [1.79, 1.84] AUROC: 0.66 [0.65, 0.66] — — —
PPM038178 PGS019972
(MSC)
PSS013866|
European Ancestry|
356,024 individuals
PGP000850 |
Hu J et al. PLoS Genet (2026)
Reported Trait: Melanoma (Skin) OR: 1.4 [1.36, 1.44] AUROC: 0.6 [0.59, 0.61] — — —
PPM038180 PGS019974
(Nasopharynx)
PSS013870|
European Ancestry|
351,557 individuals
PGP000850 |
Hu J et al. PLoS Genet (2026)
Reported Trait: Nasopharyngeal cancer OR: 0.98 [0.8, 1.21] AUROC: 0.49 [0.43, 0.55] — — —
PPM038185 PGS019979
(Ovary)
PSS013873|
European Ancestry|
194,144 individuals
PGP000850 |
Hu J et al. PLoS Genet (2026)
Reported Trait: Ovarian cancer OR: 1.23 [1.18, 1.28] AUROC: 0.56 [0.55, 0.57] — — —
PPM038167 PGS019961
(ALL)
PSS013855|
European Ancestry|
351,593 individuals
PGP000850 |
Hu J et al. PLoS Genet (2026)
Reported Trait: Acute Lymphocytic Leukemia OR: 1.13 [0.94, 1.35] AUROC: 0.53 [0.48, 0.58] — — —
PPM038169 PGS019963
(Bladder)
PSS013857|
European Ancestry|
356,279 individuals
PGP000850 |
Hu J et al. PLoS Genet (2026)
Reported Trait: Bladder cancer OR: 1.37 [1.33, 1.41] AUROC: 0.59 [0.58, 0.59] — — —
PPM038170 PGS019964
(Brain)
PSS013858|
European Ancestry|
352,823 individuals
PGP000850 |
Hu J et al. PLoS Genet (2026)
Reported Trait: Brain cancer OR: 1.33 [1.27, 1.4] AUROC: 0.58 [0.57, 0.6] — — —
PPM038172 PGS019966
(CervixUteri)
PSS013862|
European Ancestry|
194,585 individuals
PGP000850 |
Hu J et al. PLoS Genet (2026)
Reported Trait: Cervix Uteri cancer OR: 1.01 [0.98, 1.05] AUROC: 0.5 [0.49, 0.51] — — —
PPM038173 PGS019967
(CLL)
PSS013860|
European Ancestry|
352,728 individuals
PGP000850 |
Hu J et al. PLoS Genet (2026)
Reported Trait: Chronic Lymphocytic Leukemia and Small Lymphocitis Leukemia OR: 1.74 [1.65, 1.83] AUROC: 0.66 [0.64, 0.67] — — —
PPM038174 PGS019968
(CML)
PSS013861|
European Ancestry|
351,791 individuals
PGP000850 |
Hu J et al. PLoS Genet (2026)
Reported Trait: Chronic Myeloid Leukemia OR: 1.0 [0.9, 1.12] AUROC: 0.5 [0.47, 0.53] — — —
PPM038175 PGS019969
(Colorectal)
PSS013863|
European Ancestry|
361,839 individuals
PGP000850 |
Hu J et al. PLoS Genet (2026)
Reported Trait: Colorectal cancer OR: 1.39 [1.36, 1.42] AUROC: 0.59 [0.58, 0.6] — — —
PPM038176 PGS019970
(Kidney)
PSS013864|
European Ancestry|
354,186 individuals
PGP000850 |
Hu J et al. PLoS Genet (2026)
Reported Trait: Kidney cancer OR: 1.22 [1.17, 1.27] AUROC: 0.56 [0.54, 0.57] — — —
PPM038177 PGS019971
(Lung)
PSS013865|
European Ancestry|
357,861 individuals
PGP000850 |
Hu J et al. PLoS Genet (2026)
Reported Trait: Lung cancer OR: 1.37 [1.34, 1.41] AUROC: 0.59 [0.58, 0.6] — — —
PPM038179 PGS019973
(MultiMyelema)
PSS013867|
European Ancestry|
352,951 individuals
PGP000850 |
Hu J et al. PLoS Genet (2026)
Reported Trait: Multiple Myeloma OR: 1.15 [1.09, 1.22] AUROC: 0.55 [0.53, 0.56] — — —
PPM038181 PGS019975
(NHL)
PSS013868|
European Ancestry|
354,274 individuals
PGP000850 |
Hu J et al. PLoS Genet (2026)
Reported Trait: Non-Hodgkin Lymphoma OR: 1.3 [1.26, 1.35] AUROC: 0.57 [0.56, 0.58] — — —
PPM038182 PGS019976
(NMSC)
PSS013869|
European Ancestry|
377,135 individuals
PGP000850 |
Hu J et al. PLoS Genet (2026)
Reported Trait: Non-Melanoma Skin Cancer OR: 1.57 [1.55, 1.59] AUROC: 0.62 [0.62, 0.63] — — —
PPM038183 PGS019977
(OralCavity)
PSS013871|
European Ancestry|
352,231 individuals
PGP000850 |
Hu J et al. PLoS Genet (2026)
Reported Trait: Oral Cavity cancer OR: 1.06 [0.99, 1.14] AUROC: 0.51 [0.49, 0.53] — — —
PPM038184 PGS019978
(Oropharynx)
PSS013872|
European Ancestry|
351,662 individuals
PGP000850 |
Hu J et al. PLoS Genet (2026)
Reported Trait: Oropharyngeal Cancer OR: 0.93 [0.8, 1.07] AUROC: 0.53 [0.49, 0.57] — — —
PPM038186 PGS019980
(Pancreas)
PSS013874|
European Ancestry|
353,550 individuals
PGP000850 |
Hu J et al. PLoS Genet (2026)
Reported Trait: Pancreas cancer OR: 1.09 [1.05, 1.14] AUROC: 0.52 [0.51, 0.54] — — —
PPM038187 PGS019981
(Prostate)
PSS013875|
European Ancestry|
174,871 individuals
PGP000850 |
Hu J et al. PLoS Genet (2026)
Reported Trait: Prostate cancer OR: 2.14 [2.1, 2.18] AUROC: 0.69 [0.69, 0.7] — — —
PPM038188 PGS019982
(Stomach)
PSS013876|
European Ancestry|
354,328 individuals
PGP000850 |
Hu J et al. PLoS Genet (2026)
Reported Trait: Stomach cancer OR: 1.02 [0.98, 1.06] AUROC: 0.51 [0.5, 0.52] — — —
PPM038189 PGS019983
(Testis)
PSS013877|
European Ancestry|
160,567 individuals
PGP000850 |
Hu J et al. PLoS Genet (2026)
Reported Trait: Testis cancer OR: 1.53 [1.43, 1.64] AUROC: 0.61 [0.6, 0.63] — — —
PPM038190 PGS019984
(ThyGland)
PSS013878|
European Ancestry|
352,406 individuals
PGP000850 |
Hu J et al. PLoS Genet (2026)
Reported Trait: Thyroid Gland cancer OR: 1.64 [1.54, 1.75] AUROC: 0.64 [0.62, 0.65] — — —

Evaluated Samples

PGS Sample Set ID
(PSS)
Phenotype Definitions and Methods Participant Follow-up Time Sample Numbers Age of Study Participants Sample Ancestry Additional Ancestry Description Cohort(s) Additional Sample/Cohort Information
PSS013855 — —
[
  • 124 cases
  • , 351,469 controls
]
— European
(EUR)
— UKB —
PSS013856 — —
[
  • 798 cases
  • , 351,469 controls
]
— European
(EUR)
— UKB —
PSS013857 — —
[
  • 4,810 cases
  • , 351,469 controls
]
— European
(EUR)
— UKB —
PSS013858 — —
[
  • 1,354 cases
  • , 351,469 controls
]
— European
(EUR)
— UKB —
PSS013859 — —
[
  • 20,831 cases
  • , 191,818 controls
]
— European
(EUR)
— UKB —
PSS013860 — —
[
  • 1,259 cases
  • , 351,469 controls
]
— European
(EUR)
— UKB —
PSS013861 — —
[
  • 322 cases
  • , 351,469 controls
]
— European
(EUR)
— UKB —
PSS013862 — —
[
  • 2,767 cases
  • , 191,818 controls
]
— European
(EUR)
— UKB —
PSS013863 — —
[
  • 10,370 cases
  • , 351,469 controls
]
— European
(EUR)
— UKB —
PSS013864 — —
[
  • 2,717 cases
  • , 351,469 controls
]
— European
(EUR)
— UKB —
PSS013865 — —
[
  • 6,392 cases
  • , 351,469 controls
]
— European
(EUR)
— UKB —
PSS013866 — —
[
  • 4,555 cases
  • , 351,469 controls
]
— European
(EUR)
— UKB —
PSS013867 — —
[
  • 1,482 cases
  • , 351,469 controls
]
— European
(EUR)
— UKB —
PSS013868 — —
[
  • 2,805 cases
  • , 351,469 controls
]
— European
(EUR)
— UKB —
PSS013869 — —
[
  • 25,666 cases
  • , 351,469 controls
]
— European
(EUR)
— UKB —
PSS013870 — —
[
  • 88 cases
  • , 351,469 controls
]
— European
(EUR)
— UKB —
PSS013871 — —
[
  • 762 cases
  • , 351,469 controls
]
— European
(EUR)
— UKB —
PSS013872 — —
[
  • 193 cases
  • , 351,469 controls
]
— European
(EUR)
— UKB —
PSS013873 — —
[
  • 2,326 cases
  • , 191,818 controls
]
— European
(EUR)
— UKB —
PSS013874 — —
[
  • 2,081 cases
  • , 351,469 controls
]
— European
(EUR)
— UKB —
PSS013875 — —
[
  • 15,220 cases
  • , 159,651 controls
]
— European
(EUR)
— UKB —
PSS013876 — —
[
  • 2,859 cases
  • , 351,469 controls
]
— European
(EUR)
— UKB —
PSS013877 — —
[
  • 916 cases
  • , 159,651 controls
]
— European
(EUR)
— UKB —
PSS013878 — —
[
  • 937 cases
  • , 351,469 controls
]
— European
(EUR)
— UKB —