Predicted Trait | |
Reported Trait | Breast cancer |
Mapped Trait(s) | breast carcinoma (EFO_0000305) |
Score Construction | |
PGS Name | PRSAFR |
Development Method | |
Name | Genome-wide significant SNPs |
Parameters | MAF > 0.01, r2 > 0.8 |
Variants | |
Original Genome Build | NR |
Number of Variants | 89 |
Effect Weight Type | beta |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000694 |
Citation (link to publication) | Jia G et al. Nat Genet (2024) |
Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
---|---|---|---|
GWAS Catalog: GCST90296719 Europe PMC: 38741014 |
40,138 individuals | African American or Afro-Caribbean, Sub-Saharan African, African unspecified | WAABCS |
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 |
---|---|---|---|---|---|---|---|---|
— | [ ,
0.0 % Male samples |
African American or Afro-Caribbean | 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 |
---|---|---|---|---|---|---|---|---|
PPM022284 | PSS011899| African Ancestry| 7,096 individuals |
PGP000694 | Jia G et al. Nat Genet (2024) |
Reported Trait: Breast cancer | OR: 1.42 [1.33, 1.51] | AUROC: 0.6 [0.58, 0.62] | — | Age, study, genotyping array, 5 PCs | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS011899 | — | — | [ ,
0.0 % Male samples |
— | African American or Afro-Caribbean | — | AABCG | — |