Polygenic Score (PGS) ID: PGS000153

Predicted Trait
Reported Trait Breast cancer
Mapped Trait(s) breast carcinoma (EFO_0000305)
Released in PGS Catalog: April 29, 2020
Download Score FTP directory
Terms and Licenses
PGS obtained from the Catalog should be cited appropriately, and used in accordance with any licensing restrictions set by the authors. See EBI Terms of Use (https://www.ebi.ac.uk/about/terms-of-use/) for additional details.

Score Details

Score Construction
PGS Name cGRS_Breast
Original Genome Build NR
Number of Variants 66
Development Method
Name Pruning + Thresholding
Parameters GWAS significant and r2 < 0.2. PGS levels were computed as product(dosage*weight/expected risk effect), where the expected risk effect for each variant was calculated based on the risk allele frequence (f) and risk allele weight (OR) as f^2*OR^2 + 2f(1-f)OR + (1-f)^2.
PGS Source
PGS Catalog Publication (PGP) ID PGP000075
Citation (link to publication) Shi Z et al. Cancer Med (2019)

Contributing Samples

Source of Variant Associations (GWAS)
Study Identifiers Sample Numbers Sample Ancestry
GWAS Catalog: GCST003842
EuropePMC: 27117709
19,291 individuals European
GWAS Catalog: GCST003845
EuropePMC: 27117709
19,291 individuals European
GWAS Catalog: GCST004950
EuropePMC: 25751625
33,864 individuals European
GWAS Catalog: GCST001937
EuropePMC: 23535729
22,627 individuals European
GWAS Catalog: GCST000162
EuropePMC: 18326623
548 individuals European
GWAS Catalog: GCST000952
EuropePMC: 2126313
6,346 individuals European
GWAS Catalog: GCST000035
EuropePMC: 17529967
754 individuals European

Performance Metrics

Disclaimer: The performance metrics are displayed as reported by the source studies. It is important to note that metrics are not necessarily comparable with each other. For example, metrics depend on the sample characteristics (described by the PGS Catalog Sample Set [PSS] ID), phenotyping, and statistical modelling. Please refer to the source publication for additional guidance on performance.

PGS Performance Metric ID
PGS Sample Set ID
Performance Source Trait PGS Effect Sizes
(per SD change)
PGS Classification Metrics Other Metrics Covariates Included in the Model PGS Performance: Other Relevant Information
PPM000484 PSS000273 PGP000075
Shi Z et al. Cancer Med (2019)
Reported Trait: Breast cancer Odds Ratio (OR; high vs. average risk groups): 1.47 [1.23, 1.76]
PPM000473 PSS000273 PGP000075
Shi Z et al. Cancer Med (2019)
Reported Trait: Breast cancer Mean realative risk: 1.15 [1.11, 1.2]
Wilcoxon test (case vs. control) p-value: 1.48e-14

Evaluated Samples

PGS Sample Set ID
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
PSS000273 Primary tumor samples from TCGA
  • 827 cases
  • , 0 controls
0.0 % Male samples
Mean = 60.0 years
Sd = 13.0 years
European TCGA
  • 0 cases
  • , 7,020 controls
0.0 % Male samples
European eMERGE