Predicted Trait | |
Reported Trait | Breast cancer |
Mapped Trait(s) | breast carcinoma (EFO_0000305) |
Score Construction | |
PGS Name | PRS-136EUR |
Development Method | |
Name | Genome-wide significant SNPs |
Parameters | r2>0.8 |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 136 |
Effect Weight Type | beta |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000415 |
Citation (link to publication) | Jee YH et al. Int J Epidemiol (2022) |
Ancestry Distribution | |
Source of Variant Associations (GWAS) | European: 100% 139,274 individuals (100%) |
PGS Evaluation | East Asian: 100% 1 Sample Sets |
Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
---|---|---|---|
GWAS Catalog: GCST004988 Europe PMC: 29059683 |
139,274 individuals | European | NR |
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 |
---|---|---|---|---|---|---|---|---|
PPM016282 | PSS010095| East Asian Ancestry| 41,031 individuals |
PGP000415 | Jee YH et al. Int J Epidemiol (2022) |
Reported Trait: Occurrence of breast cancer | HR: 1.55 [1.44, 1.66] | AUROC: 0.62 [0.6, 0.64] | — | principal component | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS010095 | — | — | 41,031 individuals, 0.0 % Male samples |
— | East Asian (Korean) |
— | KCPS | KPCS-II |