PGS Publication: PGP000430

Publication Information (EuropePMC)
Title PRState: Incorporating genetic ancestry in prostate cancer risk scores for men of African ancestry.
PubMed ID 36494783(Europe PMC)
doi 10.1186/s12885-022-10258-3
Publication Date Dec. 9, 2022
Journal BMC Cancer
Author(s) Pagadala MS, Linscott JA, Talwar JV, Seibert TM, Rose B, Lynch J, Panizzon M, Hauger R, Hansen MH, Sammon JD, Hayn MH, Kader K, Carter H, Ryan ST.
Released in PGS Catalog: Feb. 8, 2023

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)
PGS003418
(PRState_Eur)
 PGP000430 |
Pagadala MS et al. BMC Cancer (2022)
 Prostate cancer prostate cancer 7
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003418/ScoringFiles/PGS003418.txt.gz
PGS003419
(PRState_Trans)
 PGP000430 |
Pagadala MS et al. BMC Cancer (2022)
 Prostate cancer prostate cancer 14
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003419/ScoringFiles/PGS003419.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
PPM017071 PGS003418
(PRState_Eur)
 PSS010114|
African Ancestry|
4,533 individuals
 PGP000430 |
Pagadala MS et al. BMC Cancer (2022)
 Reported Trait: Prostate cancer — AUROC: 0.52 [0.5, 0.53] — genetics, age and family history —
PPM017072 PGS003419
(PRState_Trans)
 PSS010114|
African Ancestry|
4,533 individuals
 PGP000430 |
Pagadala MS et al. BMC Cancer (2022)
 Reported Trait: Prostate cancer — AUROC: 0.66 [0.65, 0.68] — genetics, age and family history —

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
PSS010114 — — 4,533 individuals,
100.0 % Male samples
 — African unspecified — ELLIPSE —