| Predicted Trait | |
| Reported Trait | Breast cancer |
| Mapped Trait(s) | breast carcinoma (EFO_0000305) |
| Score Construction | |
| PGS Name | PRS306_breast |
| Development Method | |
| Name | PRSice-2 |
| Parameters | p = 5E-8, r2 = 0.1 |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 306 |
| Effect Weight Type | beta |
| PGS Source | |
| PGS Catalog Publication (PGP) ID | PGP000542 |
| Citation (link to publication) | Kim ES et al. NPJ Precis Oncol (2023) |
| Ancestry Distribution | |
| Source of Variant Associations (GWAS) | European: 100% 169,722 individuals (100%) |
| PGS Evaluation | European: 100% 1 Sample Sets |
| Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
|---|---|---|---|
Europe PMC: 30554720 |
[ ,
0.0 % Male samples |
European | 68 cohorts
|
|
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 |
|---|---|---|---|---|---|---|---|---|
| PPM020299 | PSS011328| European Ancestry| 133,830 individuals |
PGP000542 | Kim ES et al. NPJ Precis Oncol (2023) |
Reported Trait: Breast cancer | HR: 1.58 [1.53, 1.64] | — | — | first 10 genetic principal components | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS011328 | — | — | 133,830 individuals, 0.0 % Male samples |
— | European (British) |
— | UKB | — |