Predicted Trait | |
Reported Trait | Endometrial cancer |
Mapped Trait(s) | endometrial cancer (MONDO_0011962) |
Score Construction | |
PGS Name | PRS19_endometrial |
Development Method | |
Name | Genome-wide significant variants |
Parameters | r2>=0.93 |
Variants | |
Original Genome Build | hg19 |
Number of Variants | 19 |
Effect Weight Type | NR |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000328 |
Citation (link to publication) | Choi J et al. Int J Cancer (2020) |
Ancestry Distribution | |
Source of Variant Associations (GWAS) | European: 100% 121,885 individuals (100%) |
PGS Evaluation | European: 100% 1 Sample Sets |
Study Identifiers
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Sample Numbers
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Sample Ancestry
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Cohort(s)
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---|---|---|---|
GWAS Catalog: GCST006464 Europe PMC: 30093612 | 121,885 individuals | European | NR |
PGS Performance Metric ID (PPM) |
PGS Sample Set ID (PSS) |
Performance Source
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Trait
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PGS Effect Sizes (per SD change) |
Classification Metrics
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Other Metrics
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Covariates Included in the Model
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PGS Performance: Other Relevant Information |
---|---|---|---|---|---|---|---|---|
PPM013029 | PSS009660| European Ancestry| 629 individuals | PGP000328 | Choi J et al. Int J Cancer (2020) | Reported Trait: Endometrial cancer | — | AUROC: 0.64 [0.61, 0.67] | — | — | — |
PPM013037 | PSS009660| European Ancestry| 629 individuals | PGP000328 | Choi J et al. Int J Cancer (2020) | Reported Trait: Endometrial cancer | — | — | Hazard ratio (HR top 5% vs average): 1.34 [0.96, 1.88] | Age, birth cohort, genotyping array, top 10 PCs for ancestry and sex (for nonsex specific cancer onl... y)Show more | — |
PGS Sample Set ID (PSS) |
Phenotype Definitions and Methods
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Participant Follow-up Time
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Sample Numbers
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Age of Study Participants
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Sample Ancestry
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Additional Ancestry Description
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Cohort(s)
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Additional Sample/Cohort Information
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---|---|---|---|---|---|---|---|---|
PSS009660 | endometrial cancer (ICD-9 = 182 or ICD-10 = C54) | — | 629 individuals | — | European | — | UKB | — |