Trait: aspirin use measurement

Experimental Factor Ontology (EFO) Information
Identifier EFO_0007013
Description quantification of some aspect of aspirin use
Trait category
Other measurement

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
Display options:
Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported
Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution Scoring File (FTP Link)
PGS001112
(GBE_BIN_FC1006154)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Aspirin aspirin use measurement 499
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001112/ScoringFiles/PGS001112.txt.gz
PGS001113
(GBE_BIN_FC7006154)
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Aspirin use self-reported aspirin use measurement 790
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001113/ScoringFiles/PGS001113.txt.gz

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)
Evaluated Score 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
PPM008307 PGS001113
(GBE_BIN_FC7006154)
PSS004013|
European Ancestry|
47,360 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Aspirin use self-reported AUROC: 0.69034 [0.68459, 0.69609] : 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
PPM008306 PGS001113
(GBE_BIN_FC7006154)
PSS004012|
South Asian Ancestry|
5,363 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Aspirin use self-reported AUROC: 0.73075 [0.71607, 0.74542] : 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
PPM008305 PGS001113
(GBE_BIN_FC7006154)
PSS004011|
European Ancestry|
17,534 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Aspirin use self-reported AUROC: 0.67932 [0.66939, 0.68925] : 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
PPM008304 PGS001113
(GBE_BIN_FC7006154)
PSS004010|
East Asian Ancestry|
1,243 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Aspirin use self-reported AUROC: 0.72184 [0.67304, 0.77064] : 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
PPM008303 PGS001113
(GBE_BIN_FC7006154)
PSS004009|
African Ancestry|
3,878 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Aspirin use self-reported AUROC: 0.70614 [0.68626, 0.72603] : 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
PPM008302 PGS001112
(GBE_BIN_FC1006154)
PSS003789|
European Ancestry|
66,854 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Aspirin AUROC: 0.70264 [0.69719, 0.70809] : 0.11105
Incremental AUROC (full-covars): 0.00128
PGS R2 (no covariates): 0.00131
PGS AUROC (no covariates): 0.52069 [0.5145, 0.52688]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008301 PGS001112
(GBE_BIN_FC1006154)
PSS003788|
South Asian Ancestry|
7,364 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Aspirin AUROC: 0.73243 [0.71849, 0.74637] : 0.16473
Incremental AUROC (full-covars): 0.00284
PGS R2 (no covariates): 0.00525
PGS AUROC (no covariates): 0.5396 [0.52315, 0.55606]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008300 PGS001112
(GBE_BIN_FC1006154)
PSS003787|
European Ancestry|
24,612 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Aspirin AUROC: 0.68372 [0.67417, 0.69326] : 0.09126
Incremental AUROC (full-covars): 0.00057
PGS R2 (no covariates): 0.00095
PGS AUROC (no covariates): 0.51838 [0.50799, 0.52876]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008299 PGS001112
(GBE_BIN_FC1006154)
PSS003786|
East Asian Ancestry|
1,584 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Aspirin AUROC: 0.70571 [0.6571, 0.75432] : 0.08987
Incremental AUROC (full-covars): 0.0038
PGS R2 (no covariates): 0.00669
PGS AUROC (no covariates): 0.56392 [0.50988, 0.61796]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008298 PGS001112
(GBE_BIN_FC1006154)
PSS003785|
African Ancestry|
6,221 individuals
PGP000244 |
Tanigawa Y et al. medRxiv (2021)
|Pre
Reported Trait: Aspirin AUROC: 0.69049 [0.67139, 0.70958] : 0.10001
Incremental AUROC (full-covars): -0.00083
PGS R2 (no covariates): 2e-05
PGS AUROC (no covariates): 0.49929 [0.47866, 0.51992]
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)
PSS003789
[
  • 9,771 cases
  • , 57,083 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS003788
[
  • 1,478 cases
  • , 5,886 controls
]
South Asian UKB
PSS003787
[
  • 3,508 cases
  • , 21,104 controls
]
European non-white British ancestry UKB
PSS003786
[
  • 120 cases
  • , 1,464 controls
]
East Asian UKB
PSS003785
[
  • 879 cases
  • , 5,342 controls
]
African unspecified UKB