Predicted Trait | |
Reported Trait | Breast cancer |
Mapped Trait(s) | breast carcinoma (EFO_0000305) |
Score Construction | |
PGS Name | breast_cancer |
Development Method | |
Name | SDPR |
Parameters | NR |
Variants | |
Original Genome Build | hg19 |
Number of Variants | 1,044,110 |
Effect Weight Type | beta |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000596 |
Citation (link to publication) | Hu J et al. JNCI Cancer Spectr (2024) |
Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
---|---|---|---|
GWAS Catalog: GCST010098 Europe PMC: 32424353 |
247,173 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 |
---|---|---|---|---|---|---|---|---|
— | [
|
European | UKB | — | — | — | — | — |
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 |
---|---|---|---|---|---|---|---|---|
PPM020873 | PSS011432| European Ancestry| 21,249 individuals |
PGP000596 | Hu J et al. JNCI Cancer Spectr (2024) |
Reported Trait: Breast cancer | — | AUROC: 0.665 | — | — | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS011432 | — | — | [
|
— | European | — | UKB | — |