Polygenic Score (PGS) ID: PGS001113

Predicted Trait
Reported Trait Aspirin use self-reported
Mapped Trait(s) aspirin use measurement (EFO_0007013)
Additional Trait Information https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/BIN_FC7006154
Released in PGS Catalog: Oct. 21, 2021
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 GBE_BIN_FC7006154
Development Method
Name snpnet
Parameters NR
Variants
Original Genome Build GRCh37
Number of Variants 790
Effect Weight Type NR
PGS Source
PGS Catalog Publication (PGP) ID PGP000244
Citation (link to publication) Tanigawa Y et al. PLoS Genet (2022)
Ancestry Distribution
Score Development/Training
European: 100%
189,550 individuals (100%)
PGS Evaluation
European: 40%
African: 20%
East Asian: 20%
South Asian: 20%
5 Sample Sets

Development Samples

Score Development/Training
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
—
[
  • 39,198 cases
  • , 150,352 controls
]
 European UKB — — — white British ancestry —

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
PPM008303 PSS004009|
African Ancestry|
3,878 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Aspirin use self-reported — AUROC: 0.70614 [0.68626, 0.72603] R²: 0.14457
Incremental AUROC (full-covars): -0.00059
PGS R2 (no covariates): 1e-05
PGS AUROC (no covariates): 0.50282 [0.48118, 0.52447]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008304 PSS004010|
East Asian Ancestry|
1,243 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Aspirin use self-reported — AUROC: 0.72184 [0.67304, 0.77064] R²: 0.11704
Incremental AUROC (full-covars): 0.0056
PGS R2 (no covariates): 0.00908
PGS AUROC (no covariates): 0.56298 [0.50935, 0.6166]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008305 PSS004011|
European Ancestry|
17,534 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Aspirin use self-reported — AUROC: 0.67932 [0.66939, 0.68925] R²: 0.09827
Incremental AUROC (full-covars): 0.00128
PGS R2 (no covariates): 0.00172
PGS AUROC (no covariates): 0.52387 [0.51314, 0.53459]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008306 PSS004012|
South Asian Ancestry|
5,363 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Aspirin use self-reported — AUROC: 0.73075 [0.71607, 0.74542] R²: 0.18147
Incremental AUROC (full-covars): 0.00255
PGS R2 (no covariates): 0.00504
PGS AUROC (no covariates): 0.53563 [0.51845, 0.55281]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008307 PSS004013|
European Ancestry|
47,360 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Aspirin use self-reported — AUROC: 0.69034 [0.68459, 0.69609] R²: 0.11184
Incremental AUROC (full-covars): 0.00181
PGS R2 (no covariates): 0.00219
PGS AUROC (no covariates): 0.52532 [0.51891, 0.53174]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method

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
PSS004009 — —
[
  • 879 cases
  • , 2,999 controls
]
 — African unspecified — UKB —
PSS004010 — —
[
  • 120 cases
  • , 1,123 controls
]
 — East Asian — UKB —
PSS004011 — —
[
  • 3,508 cases
  • , 14,026 controls
]
 — European non-white British ancestry UKB —
PSS004012 — —
[
  • 1,478 cases
  • , 3,885 controls
]
 — South Asian — UKB —
PSS004013 — —
[
  • 9,771 cases
  • , 37,589 controls
]
 — European white British ancestry UKB Testing cohort (heldout set)