Trait: drug use measurement

Experimental Factor Ontology (EFO) Information
Identifier EFO_0007010
Description quantification of some aspect of drug use, such as whether drug use occured, over what period of time it occured and what dosage was used
Trait category
Other measurement
Child trait(s) 4 child traits

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 "drug 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
GWAS
Dev
Eval
 Scoring File (FTP Link)
PGS000821
(PRS_hypomed)
 PGP000204 |
Luo J et al. Clin Cancer Res (2021)
 Thyroid medication use Thyroid preparation use measurement 872,391
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000821/ScoringFiles/PGS000821.txt.gz
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
PGS001117
(GBE_BIN_FC10002986)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Started insulin within one year diagnosis of diabetes insulin use measurement 68
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001117/ScoringFiles/PGS001117.txt.gz
PGS001118
(GBE_BIN_FC10002492)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Taking other prescription medications drug use measurement 1,846
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001118/ScoringFiles/PGS001118.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
PPM002194 PGS000821
(PRS_hypomed)
 PSS001068|
European Ancestry|
51,070 individuals
 PGP000204 |
Luo J et al. Clin Cancer Res (2021)
 Reported Trait: Spontaneous hypothyroidism — AUROC: 0.6 — Age, sex, PCs(1-10) —
PPM002200 PGS000821
(PRS_hypomed)
 PSS001070|
Multi-ancestry (including European)|
744 individuals
 PGP000204 |
Luo J et al. Clin Cancer Res (2021)
 Reported Trait: Immune checkpoint inhibitor therapy induced immune-related thyroid dysfunction in individuals with non-small cell lung cancer — AUROC: 0.7 — Age, sex, PCs(1-10) —
PPM002196 PGS000821
(PRS_hypomed)
 PSS001070|
Multi-ancestry (including European)|
744 individuals
 PGP000204 |
Luo J et al. Clin Cancer Res (2021)
 Reported Trait: Immune checkpoint inhibitor therapy induced immune-related thyroid dysfunction in individuals with non-small cell lung cancer HR: 1.32 [1.07, 1.63] — — Age, sex, PCs(1-10) —
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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] 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 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] 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 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] 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 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] 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 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] 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
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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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
PPM008323 PGS001117
(GBE_BIN_FC10002986)
 PSS003731|
African Ancestry|
705 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Started insulin within one year diagnosis of diabetes — AUROC: 0.6057 [0.54935, 0.66205] R²: 0.03335
Incremental AUROC (full-covars): 0.01803
PGS R2 (no covariates): 0.00453
PGS AUROC (no covariates): 0.54401 [0.48567, 0.60235]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008324 PGS001117
(GBE_BIN_FC10002986)
 PSS003732|
East Asian Ancestry|
86 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Started insulin within one year diagnosis of diabetes — AUROC: 0.71573 [0.51412, 0.91734] R²: 0.15018
Incremental AUROC (full-covars): -0.09668
PGS R2 (no covariates): 0.11116
PGS AUROC (no covariates): 0.29582 [0.14557, 0.44606]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008325 PGS001117
(GBE_BIN_FC10002986)
 PSS003733|
European Ancestry|
1,089 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Started insulin within one year diagnosis of diabetes — AUROC: 0.80203 [0.75876, 0.8453] R²: 0.28861
Incremental AUROC (full-covars): 0.05722
PGS R2 (no covariates): 0.17586
PGS AUROC (no covariates): 0.72657 [0.67703, 0.77611]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008326 PGS001117
(GBE_BIN_FC10002986)
 PSS003734|
South Asian Ancestry|
1,358 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Started insulin within one year diagnosis of diabetes — AUROC: 0.62878 [0.57833, 0.67923] R²: 0.03294
Incremental AUROC (full-covars): 0.02324
PGS R2 (no covariates): 0.01621
PGS AUROC (no covariates): 0.58662 [0.53076, 0.64248]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008327 PGS001117
(GBE_BIN_FC10002986)
 PSS003735|
European Ancestry|
3,243 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Started insulin within one year diagnosis of diabetes — AUROC: 0.74056 [0.71173, 0.76938] R²: 0.17764
Incremental AUROC (full-covars): 0.0941
PGS R2 (no covariates): 0.12982
PGS AUROC (no covariates): 0.71086 [0.68153, 0.74018]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008328 PGS001118
(GBE_BIN_FC10002492)
 PSS003721|
African Ancestry|
6,309 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Taking other prescription medications — AUROC: 0.62398 [0.61004, 0.63792] R²: 0.06129
Incremental AUROC (full-covars): -0.00126
PGS R2 (no covariates): 0.00017
PGS AUROC (no covariates): 0.50683 [0.49237, 0.52129]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008329 PGS001118
(GBE_BIN_FC10002492)
 PSS003722|
East Asian Ancestry|
1,626 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Taking other prescription medications — AUROC: 0.63204 [0.60343, 0.66066] R²: 0.06971
Incremental AUROC (full-covars): -0.00329
PGS R2 (no covariates): 0.00015
PGS AUROC (no covariates): 0.49407 [0.46467, 0.52347]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008330 PGS001118
(GBE_BIN_FC10002492)
 PSS003723|
European Ancestry|
24,781 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Taking other prescription medications — AUROC: 0.64338 [0.63654, 0.65022] R²: 0.08116
Incremental AUROC (full-covars): 0.00469
PGS R2 (no covariates): 0.00551
PGS AUROC (no covariates): 0.537 [0.52981, 0.54419]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008331 PGS001118
(GBE_BIN_FC10002492)
 PSS003724|
South Asian Ancestry|
7,473 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Taking other prescription medications — AUROC: 0.65224 [0.63989, 0.66459] R²: 0.09172
Incremental AUROC (full-covars): 0.00168
PGS R2 (no covariates): 0.00174
PGS AUROC (no covariates): 0.52005 [0.50697, 0.53313]		 age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008332 PGS001118
(GBE_BIN_FC10002492)
 PSS003725|
European Ancestry|
67,263 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Taking other prescription medications — AUROC: 0.61983 [0.61562, 0.62403] R²: 0.05769
Incremental AUROC (full-covars): 0.00393
PGS R2 (no covariates): 0.00443
PGS AUROC (no covariates): 0.53239 [0.52804, 0.53675]		 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)
PSS004026 — —
[
  • 5,524 cases
  • , 13,927 controls
]
 — European non-white British ancestry UKB —
PSS001070 All individuals had non-small cell lung cancer (NSCLC) and were receiving immune checkpoint inhibitor (CPI) therapy. of the 744 individuals receiving CPI therapy, 659 were being treated with Anti-PD-(L)1 monotherapy whilst 85 were being treated with Anti-PD-(L)1+CTLA-4 combination therapy. Cases were individuals who had experienced immune-related thyroid dysfunction following CPI therapy. A thyroid event after the start of CPI therapy was defined as either (1) incident hypothyroidism or (2) transient incident hyperthyroidism followed by incident hypothyroidism. Incident hypothyroidism was defined as (a) a TSH of ≥ 10 mU/L or (b) TSH of ≥ 5 mU/L with a new prescription of levothyroxine ≥ 50 mcg. Incident hyperthyroidism was defined as TSH < 0.05 mU/L. —
[
  • 95 cases
  • , 649 controls
]
,
50.94 % Male samples
 — European, African unspecified, Asian unspecified, Hispanic or Latin American, NR European = 634, African unspecified = 50, Asian unspecified = 36, Not reported = 4, Hispanic or Latin American = 20 MSKCC Additional cases and controls were obtained from the Vanderbilt University Medical Centre (VUMC)
PSS003721 — —
[
  • 2,593 cases
  • , 3,716 controls
]
 — African unspecified — UKB —
PSS003722 — —
[
  • 544 cases
  • , 1,082 controls
]
 — East Asian — UKB —
PSS003723 — —
[
  • 11,337 cases
  • , 13,444 controls
]
 — European non-white British ancestry UKB —
PSS003724 — —
[
  • 3,703 cases
  • , 3,770 controls
]
 — South Asian — UKB —
PSS003725 — —
[
  • 33,265 cases
  • , 33,998 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)
PSS003731 — —
[
  • 115 cases
  • , 590 controls
]
 — African unspecified — UKB —
PSS003732 — —
[
  • 9 cases
  • , 77 controls
]
 — East Asian — UKB —
PSS003733 — —
[
  • 143 cases
  • , 946 controls
]
 — European non-white British ancestry UKB —
PSS003734 — —
[
  • 120 cases
  • , 1,238 controls
]
 — South Asian — UKB —
PSS003735 — —
[
  • 397 cases
  • , 2,846 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 —
PSS001068 Spontaneous hypothyroidism cases and controls were defined using phecodes, which aggregate similar ICD-9-CM and ICD-10-CM. Individuals must have had at least 2 ICD codes for hypothyroidism to be assigned a phecode, and individuals with other thyroid diseases were excluded from the control set. — 51,070 individuals — European — BioVU —
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 —
PSS004022 — —
[
  • 811 cases
  • , 3,894 controls
]
 — South Asian — UKB —
PSS004027 — —
[
  • 1,958 cases
  • , 3,860 controls
]
 — South Asian — UKB —