PGS Publication: PGP000379

Publication Information (EuropePMC)
Title Reliability of Ancestry-specific Prostate Cancer Genetic Risk Score in Four Racial and Ethnic Populations
doi 10.1016/j.euros.2022.09.001
Publication Date Sept. 17, 2022
Journal Eur Urol Open Sci
Author(s) Shi Z, Zhan J, Wei J, Ladson-Gary S, Wang CH, Hulick PJ, Zheng SL, Cooney KA, Isaacs WB, Helfand BT, 23andMe Research Team, Koelsch BL, Xu J.
Released in PGS Catalog: Oct. 19, 2022

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 Scoring File (FTP Link)
PGS002796
(GRS232_Eur)
PGP000379 |
Shi Z et al. Eur Urol Open Sci (2022)
Prostate cancer prostate carcinoma 232
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002796/ScoringFiles/PGS002796.txt.gz
PGS002797
(GRS67_His)
PGP000379 |
Shi Z et al. Eur Urol Open Sci (2022)
Prostate cancer prostate carcinoma 67
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002797/ScoringFiles/PGS002797.txt.gz
PGS002798
(GRS128_Afr)
PGP000379 |
Shi Z et al. Eur Urol Open Sci (2022)
Prostate cancer prostate carcinoma 128
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002798/ScoringFiles/PGS002798.txt.gz
PGS002799
(GRS138_EA)
PGP000379 |
Shi Z et al. Eur Urol Open Sci (2022)
Prostate cancer prostate carcinoma 138
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002799/ScoringFiles/PGS002799.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
PPM015506 PGS002796
(GRS232_Eur)
PSS009968|
European Ancestry|
888,086 individuals
PGP000379 |
Shi Z et al. Eur Urol Open Sci (2022)
Reported Trait: Prostate cancer OR: 1.46 [1.45, 1.46] age, 10 genetic PCs
PPM015507 PGS002797
(GRS67_His)
PSS009969|
Hispanic or Latin American Ancestry|
81,109 individuals
PGP000379 |
Shi Z et al. Eur Urol Open Sci (2022)
Reported Trait: Prostate cancer OR: 1.5 [1.46, 1.53] age, 10 genetic PCs
PPM015508 PGS002798
(GRS128_Afr)
PSS009966|
African Ancestry|
30,472 individuals
PGP000379 |
Shi Z et al. Eur Urol Open Sci (2022)
Reported Trait: Prostate cancer OR: 1.44 [1.4, 1.47] age, 10 genetic PCs
PPM015509 PGS002799
(GRS138_EA)
PSS009967|
East Asian Ancestry|
13,985 individuals
PGP000379 |
Shi Z et al. Eur Urol Open Sci (2022)
Reported Trait: Prostate cancer OR: 1.34 [1.28, 1.42] age, 10 genetic PCs

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
PSS009968 888,086 individuals,
100.0 % Male samples
Median = 65.0 years European NR
PSS009969 81,109 individuals,
100.0 % Male samples
Median = 61.0 years Hispanic or Latin American NR
PSS009966 30,472 individuals,
100.0 % Male samples
Median = 61.0 years African unspecified NR
PSS009967 13,985 individuals,
100.0 % Male samples
Median = 61.0 years East Asian NR