Polygenic Score (PGS) ID: PGS000015

Predicted Trait
Reported Trait Breast cancer
Mapped Trait(s) breast carcinoma (EFO_0000305)
Released in PGS Catalog: Oct. 14, 2019
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Terms and Licenses
Freely available to the academic community for research use. Parties interested in using the scores for commercial purposes should contact the Broad Office of Strategic Alliances and Partnering (partnering@broadinstitute.org).

Score Details

Score Construction
PGS Name GPS_BC
Variants
Original Genome Build hg19
Number of Variants 5,218
Development Method
Name Pruning and thresholding (P+T)
Parameters r2 < 0.2; P < 5e−4; LD panel = 503 100G Europeans
PGS Source
PGS Catalog Publication (PGP) ID PGP000006
Citation (link to publication) Khera AV et al. Nat Genet (2018)
Ancestry Distribution
Source of Variant
Associations (GWAS)
European: 100%
139,274 individuals (100%)
Score Development/Training
European: 100%
63,347 individuals (100%)
PGS Evaluation
European: 100%
1 Sample Sets

Development Samples

Source of Variant Associations (GWAS)
Study Identifiers Sample Numbers Sample Ancestry
GWAS Catalog: GCST004988
Europe PMC: 29059683
139,274 individuals European
Score Development/Training
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
Breast cancer ascertainment was based on self-report in an interview with a trained nurse, ICD-9 codes (174 or 174.9) or ICD-10 codes (C50.X) in hospitalization records, or a breast cancer diagnosis reported to the national registry before the date of enrollment.
[
  • 2,576 cases
  • , 60,771 controls
]
,
0.0 % Male samples
European UKB UKB Phase 1

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 (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
PPM000024 PSS000014|
European Ancestry|
157,895 individuals
PGP000006 |
Khera AV et al. Nat Genet (2018)
Reported Trait: Breast cancer AUROC: 0.69 [0.68, 0.69] Nagelkerke’s R2 (estimate of variance explained by the PGS after covariate adjustment): 0.027 age; sex; Ancestry PC 1-4; genotyping chip

Evaluated Samples

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
PSS000014 Breast cancer ascertainment was based on self-report in an interview with a trained nurse, ICD-9 codes (174 or 174.9) or ICD-10 codes (C50.X) in hospitalization records, or a breast cancer diagnosis reported to the national registry before the date of enrollment.
[
  • 6,586 cases
  • , 151,309 controls
]
,
0.0 % Male samples
European UKB UKB Phase 2