Predicted Trait | |
Reported Trait | Corpus Uteri |
Mapped Trait(s) | uterine corpus cancer (EFO_0007532) |
Score Construction | |
PGS Name | PRS16_CU |
Development Method | |
Name | Genome-wide significant SNPs |
Parameters | imputation info score ≥0.3, MAF ≥ 0.01 |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 16 |
Effect Weight Type | beta |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000470 |
Citation (link to publication) | Xin J et al. EBioMedicine (2023) |
Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
---|---|---|---|
GWAS Catalog: GCST006464 Europe PMC: 30093612 |
121,885 individuals | European | NR |
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 |
---|---|---|---|---|---|---|---|---|
— | 698 individuals | European | UKB | — | Mean = 64.17 years | — | — | — |
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 |
---|---|---|---|---|---|---|---|---|
PPM018496 | PSS010989| European Ancestry| 372 individuals |
PGP000470 | Xin J et al. EBioMedicine (2023) |
Reported Trait: Corpus Uteri | OR: 1.38 [1.2, 1.58] | — | — | — | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS010989 | — | — | 372 individuals | Mean = 64.72 years | European | — | TCGA | — |