Trait: NSAID use measurement

Experimental Factor Ontology (EFO) Information
Identifier EFO_0007012
Description quantification of some aspect of NSAID use
Trait category
Other measurement
Synonym non-steroid anti-inflammatory drug use measurement
Child trait(s) aspirin use 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
Note: This table shows all PGS for "NSAID use measurement" and any child terms of this trait in the EFO hierarchy by default.
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. PLoS Genet (2022)
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. PLoS Genet (2022)
Aspirin use self-reported aspirin use measurement 790
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001113/ScoringFiles/PGS001113.txt.gz
PGS001114
(GBE_BIN_FC8006154)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Ibuprofen use, self-reported NSAID use measurement,
self-reported trait
419
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001114/ScoringFiles/PGS001114.txt.gz
PGS001115
(GBE_BIN_FC9006154)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Paracetamol use self-reported NSAID use measurement,
self-reported trait
4,673
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001115/ScoringFiles/PGS001115.txt.gz
PGS001116
(GBE_BIN_FC2006154)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Ibuprofen use NSAID use measurement 174
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001116/ScoringFiles/PGS001116.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
PPM008298 PGS001112
(GBE_BIN_FC1006154)
PSS003785|
African Ancestry|
6,221 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
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
PPM008299 PGS001112
(GBE_BIN_FC1006154)
PSS003786|
East Asian Ancestry|
1,584 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
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
PPM008300 PGS001112
(GBE_BIN_FC1006154)
PSS003787|
European Ancestry|
24,612 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
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
PPM008301 PGS001112
(GBE_BIN_FC1006154)
PSS003788|
South Asian Ancestry|
7,364 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
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
PPM008302 PGS001112
(GBE_BIN_FC1006154)
PSS003789|
European Ancestry|
66,854 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
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
PPM008303 PGS001113
(GBE_BIN_FC7006154)
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] : 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 PGS001113
(GBE_BIN_FC7006154)
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] : 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 PGS001113
(GBE_BIN_FC7006154)
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] : 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 PGS001113
(GBE_BIN_FC7006154)
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] : 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 PGS001113
(GBE_BIN_FC7006154)
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] : 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
PPM008308 PGS001114
(GBE_BIN_FC8006154)
PSS004019|
African Ancestry|
4,198 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Ibuprofen use self-reported AUROC: 0.58623 [0.56747, 0.60499] : 0.02659
Incremental AUROC (full-covars): 0.00105
PGS R2 (no covariates): 0.00105
PGS AUROC (no covariates): 0.51676 [0.49751, 0.53601]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008309 PGS001114
(GBE_BIN_FC8006154)
PSS004020|
East Asian Ancestry|
1,283 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Ibuprofen use self-reported AUROC: 0.63391 [0.58944, 0.67838] : 0.07333
Incremental AUROC (full-covars): 0.00219
PGS R2 (no covariates): 0.00605
PGS AUROC (no covariates): 0.55222 [0.50424, 0.60019]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008310 PGS001114
(GBE_BIN_FC8006154)
PSS004021|
European Ancestry|
18,055 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Ibuprofen use self-reported AUROC: 0.59904 [0.58905, 0.60903] : 0.03286
Incremental AUROC (full-covars): 0.00267
PGS R2 (no covariates): 0.00221
PGS AUROC (no covariates): 0.52523 [0.51521, 0.53524]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008311 PGS001114
(GBE_BIN_FC8006154)
PSS004022|
South Asian Ancestry|
4,705 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Ibuprofen use self-reported AUROC: 0.61281 [0.59188, 0.63374] : 0.036
Incremental AUROC (full-covars): -0.00199
PGS R2 (no covariates): 3e-05
PGS AUROC (no covariates): 0.49833 [0.47621, 0.52045]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008312 PGS001114
(GBE_BIN_FC8006154)
PSS004023|
European Ancestry|
47,828 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Ibuprofen use self-reported AUROC: 0.59831 [0.59215, 0.60447] : 0.03148
Incremental AUROC (full-covars): 0.00304
PGS R2 (no covariates): 0.00188
PGS AUROC (no covariates): 0.52406 [0.51781, 0.5303]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008313 PGS001115
(GBE_BIN_FC9006154)
PSS004024|
African Ancestry|
5,085 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Paracetamol use self-reported AUROC: 0.61918 [0.60368, 0.63468] : 0.05618
Incremental AUROC (full-covars): -0.00248
PGS R2 (no covariates): 0.00088
PGS AUROC (no covariates): 0.514 [0.49793, 0.53008]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008314 PGS001115
(GBE_BIN_FC9006154)
PSS004025|
East Asian Ancestry|
1,387 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Paracetamol use self-reported AUROC: 0.66023 [0.62475, 0.6957] : 0.10401
Incremental AUROC (full-covars): 0.00543
PGS R2 (no covariates): 0.00338
PGS AUROC (no covariates): 0.53113 [0.49267, 0.56958]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008315 PGS001115
(GBE_BIN_FC9006154)
PSS004026|
European Ancestry|
19,451 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Paracetamol use self-reported AUROC: 0.58754 [0.57874, 0.59635] : 0.02785
Incremental AUROC (full-covars): 0.01048
PGS R2 (no covariates): 0.0066
PGS AUROC (no covariates): 0.54192 [0.53304, 0.5508]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008316 PGS001115
(GBE_BIN_FC9006154)
PSS004027|
South Asian Ancestry|
5,818 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Paracetamol use self-reported AUROC: 0.62877 [0.61375, 0.6438] : 0.06084
Incremental AUROC (full-covars): 0.00451
PGS R2 (no covariates): 0.0045
PGS AUROC (no covariates): 0.53799 [0.52235, 0.55363]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008317 PGS001115
(GBE_BIN_FC9006154)
PSS004028|
European Ancestry|
52,582 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Paracetamol use self-reported AUROC: 0.60087 [0.59559, 0.60615] : 0.03601
Incremental AUROC (full-covars): 0.01595
PGS R2 (no covariates): 0.01072
PGS AUROC (no covariates): 0.55514 [0.54977, 0.56051]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008318 PGS001116
(GBE_BIN_FC2006154)
PSS003859|
African Ancestry|
6,221 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Ibuprofen (e.g. Nurofen) AUROC: 0.59205 [0.57467, 0.60944] : 0.02759
Incremental AUROC (full-covars): -0.00015
PGS R2 (no covariates): 0.00046
PGS AUROC (no covariates): 0.50964 [0.4914, 0.52789]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008319 PGS001116
(GBE_BIN_FC2006154)
PSS003860|
East Asian Ancestry|
1,584 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Ibuprofen (e.g. Nurofen) AUROC: 0.61277 [0.5683, 0.65725] : 0.04562
Incremental AUROC (full-covars): 0.00152
PGS R2 (no covariates): 0.00555
PGS AUROC (no covariates): 0.54922 [0.50243, 0.59601]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008320 PGS001116
(GBE_BIN_FC2006154)
PSS003861|
European Ancestry|
24,612 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Ibuprofen (e.g. Nurofen) AUROC: 0.61988 [0.61042, 0.62934] : 0.04208
Incremental AUROC (full-covars): 0.00089
PGS R2 (no covariates): 0.001
PGS AUROC (no covariates): 0.51881 [0.50908, 0.52853]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008321 PGS001116
(GBE_BIN_FC2006154)
PSS003862|
South Asian Ancestry|
7,364 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Ibuprofen (e.g. Nurofen) AUROC: 0.62217 [0.6023, 0.64205] : 0.03601
Incremental AUROC (full-covars): -0.00195
PGS R2 (no covariates): 0.00051
PGS AUROC (no covariates): 0.48821 [0.46651, 0.50992]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008322 PGS001116
(GBE_BIN_FC2006154)
PSS003863|
European Ancestry|
66,854 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Ibuprofen (e.g. Nurofen) AUROC: 0.61851 [0.6127, 0.62433] : 0.03928
Incremental AUROC (full-covars): 0.00101
PGS R2 (no covariates): 0.00076
PGS AUROC (no covariates): 0.51542 [0.50941, 0.52143]
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
PSS004028
[
  • 15,397 cases
  • , 37,185 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS003785
[
  • 879 cases
  • , 5,342 controls
]
African unspecified UKB
PSS003786
[
  • 120 cases
  • , 1,464 controls
]
East Asian UKB
PSS003787
[
  • 3,508 cases
  • , 21,104 controls
]
European non-white British ancestry UKB
PSS003788
[
  • 1,478 cases
  • , 5,886 controls
]
South Asian UKB
PSS003789
[
  • 9,771 cases
  • , 57,083 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS003859
[
  • 1,214 cases
  • , 5,007 controls
]
African unspecified UKB
PSS003860
[
  • 166 cases
  • , 1,418 controls
]
East Asian UKB
PSS003861
[
  • 4,084 cases
  • , 20,528 controls
]
European non-white British ancestry UKB
PSS003862
[
  • 811 cases
  • , 6,553 controls
]
South Asian UKB
PSS003863
[
  • 10,489 cases
  • , 56,365 controls
]
European white British ancestry UKB Testing cohort (heldout set)
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)
PSS004019
[
  • 1,214 cases
  • , 2,984 controls
]
African unspecified UKB
PSS004020
[
  • 166 cases
  • , 1,117 controls
]
East Asian UKB
PSS004021
[
  • 4,084 cases
  • , 13,971 controls
]
European non-white British ancestry UKB
PSS004022
[
  • 811 cases
  • , 3,894 controls
]
South Asian UKB
PSS004023
[
  • 10,489 cases
  • , 37,339 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS004024
[
  • 2,117 cases
  • , 2,968 controls
]
African unspecified UKB
PSS004025
[
  • 278 cases
  • , 1,109 controls
]
East Asian UKB
PSS004026
[
  • 5,524 cases
  • , 13,927 controls
]
European non-white British ancestry UKB
PSS004027
[
  • 1,958 cases
  • , 3,860 controls
]
South Asian UKB