Predicted Trait | |
Reported Trait | Breast cancer intrinsic-like subtype (triple negative) |
Mapped Trait(s) | triple-negative breast cancer (EFO_0005537) |
Score Construction | |
PGS Name | PRS330_TN |
Development Method | |
Name | Fixed-effects two-stage polytomous model |
Parameters | 313 variants from Mavaddat et al (PGS000004) plus 17 independent variants (P < 5.0 × 10−8, r2 threshold 0.1) from this publication, weights derived from the all-subtype analysis |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 330 |
Effect Weight Type | log(OR) |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000088 |
Citation (link to publication) | Zhang H et al. Nat Genet (2020) |
Ancestry Distribution | |
Source of Variant Associations (GWAS) | European: 100% 197,755 individuals (100%) |
PGS Evaluation | European: 100% 1 Sample Sets |
Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
---|---|---|---|
GWAS Catalog: GCST010099 Europe PMC: 32424353 |
197,755 individuals | European | 82 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 |
---|---|---|---|---|---|---|---|---|
PPM000661 | PSS000363| European Ancestry| 22,821 individuals |
PGP000088 | Zhang H et al. Nat Genet (2020) |
Reported Trait: Breast cancer intrinsic-like subtype (triple negative) | OR: 1.65 [1.57, 1.73] | AUROC: 0.6358 | — | — | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS000363 | Defined intrinsic-like breast cancer subtypes based on tumor status of ER, PR, HER2 and grade: (5) triple-negative ( ER-, PR-, HER2-). | — | [ ,
0.0 % Male samples |
— | European | — | 6 cohorts
|
Heldout subset (20%) of the BCAC consortium data |