Polygenic Score (PGS) ID: PGS004242

Predicted Trait
Reported Trait Breast cancer
Mapped Trait(s) breast carcinoma (EFO_0000305)
Released in PGS Catalog: Dec. 15, 2023
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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 PRS306_breast
Development Method
Name PRSice-2
Parameters p = 5E-8, r2 = 0.1
Variants
Original Genome Build GRCh37
Number of Variants 306
Effect Weight Type beta
PGS Source
PGS Catalog Publication (PGP) ID PGP000542
Citation (link to publication) Kim ES et al. NPJ Precis Oncol (2023)
Ancestry Distribution
Source of Variant
Associations (GWAS)
European: 100%
169,722 individuals (100%)
PGS Evaluation
European: 100%
1 Sample Sets

Development Samples

Source of Variant Associations (GWAS)
Study Identifiers Sample Numbers Sample Ancestry Cohort(s)
Europe PMC: 30554720
[
  • 94,705 cases
  • , 75,017 controls
]
,
0.0 % Male samples
European 68 cohorts
  • 2SISTER
  • ,ABCFS
  • ,ABCS
  • ,ABCTB
  • ,AOCS
  • ,BBCC
  • ,BBCS
  • ,BCEES
  • ,BCFR-NY
  • ,BCFR-PA
  • ,BCFR-UTAH
  • ,BCINIS
  • ,BIGGS
  • ,BREOGAN
  • ,BSUCH
  • ,CBCS
  • ,CCGP
  • ,CECILE
  • ,CGPS
  • ,CNIO-BCS
  • ,CPSII
  • ,CTS
  • ,DIETCOMPLYF
  • ,ESTHER
  • ,GC-HBOC
  • ,GENICA
  • ,GEPARSIXTO
  • ,GESBC
  • ,HCSC
  • ,HEBCS
  • ,HMBCS
  • ,HUOCS
  • ,KARBAC
  • ,KBCP
  • ,LMBC
  • ,MABCS
  • ,MARIE
  • ,MBCSG
  • ,MCBCS
  • ,MCCS
  • ,MEC
  • ,MISS
  • ,MMHS
  • ,MSKCC
  • ,MTLGEBCS
  • ,NBCS
  • ,NBHS
  • ,NC-BCFR
  • ,OBCS
  • ,OFBCR
  • ,ORIGO
  • ,PBCS
  • ,POSH
  • ,PREFACE
  • ,RBCS
  • ,SASBAC
  • ,SBCS
  • ,SEARCH
  • ,SKKDKFZS
  • ,SMC
  • ,SUCCESSB
  • ,SUCCESSC
  • ,SZBCS
  • ,TNBCC
  • ,UCIBCS
  • ,UKOPS
  • ,WHI
  • ,pKARMA

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
PPM020299 PSS011328|
European Ancestry|
133,830 individuals
PGP000542 |
Kim ES et al. NPJ Precis Oncol (2023)
Reported Trait: Breast cancer HR: 1.58 [1.53, 1.64] first 10 genetic principal components

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
PSS011328 133,830 individuals,
0.0 % Male samples
European
(British)
UKB