Polygenic Score (PGS) ID: PGS002736

Predicted Trait
Reported Trait Endometrial cancer
Mapped Trait(s) endometrial carcinoma (EFO_1001512)
Released in PGS Catalog: July 21, 2022
Download Score FTP directory
Terms and Licenses
PGS obtained from the Catalog should be cited appropriately, and used in accordance with any licensing restrictions set by the authors. See EBI Terms of Use (https://www.ebi.ac.uk/about/terms-of-use/) for additional details.

Score Details

Score Construction
PGS Name PRS24
Development Method
Name Genome-wide significant variants
Parameters p<1E-05, r2<0.2
Variants
Original Genome Build NR
Number of Variants 24
Effect Weight Type log(OR)
PGS Source
PGS Catalog Publication (PGP) ID PGP000344
Citation (link to publication) Bafligil C et al. Genet Med (2022)
Ancestry Distribution
Source of Variant
Associations (GWAS)
Not Reported: 100%
Score Development/Training
European: 100%
1,757 individuals (100%)
PGS Evaluation
European: 100%
1 Sample Sets

Development Samples

Source of Variant Associations (GWAS)
JSONXMLCSVTXTMS-Excel
Loading, please wait
Study Identifiers
Sample Numbers
Sample Ancestry
Cohort(s)
Europe PMC: 32066633
NRNot reportedNR
Showing 1 to 1 of 1 rows
Score Development/Training
JSONXMLCSVTXTMS-Excel
Loading, please wait
Study Identifiers
Sample Numbers
Sample Ancestry
Cohort(s)
Phenotype Definitions & Methods
Age of Study Participants
Participant Follow-up Time
Additional Ancestry Description
Additional Sample/Cohort Information
—
[
  • 555 cases
  • , 1,202 controls
]
,
0.0 % Male samples
EuropeanNR————Manchester study
Showing 1 to 1 of 1 rows

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.

JSONXMLCSVTXTMS-Excel
Loading, please wait
PGS Performance
Metric ID (PPM)
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
PPM014833PSS009907|
European Ancestry|
118,636 individuals
PGP000344 |
Bafligil C et al. Genet Med (2022)
Reported Trait: Risk of endometrial cancer—AUROC: 0.53 [0.52, 0.54]Odds ratio (OR, third vs first tertile): 1.27 [1.13, 1.43]——
PPM014836PSS009907|
European Ancestry|
118,636 individuals
PGP000344 |
Bafligil C et al. Genet Med (2022)
Reported Trait: Risk of endometrial cancerHR: 0.11 [0.07, 0.16]——BMI—
Showing 1 to 2 of 2 rows

Evaluated Samples

JSONXMLCSVTXTMS-Excel
Loading, please wait
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
PSS009907——
[
  • 1,676 cases
  • , 116,960 controls
]
,
0.0 % Male samples
—European—NRUKB
Showing 1 to 1 of 1 rows