PGS Catalog - PGS001003 / Number of medications taken (Polygenic Score)

Polygenic Score (PGS) ID: PGS001003

Predicted Trait
Reported Trait	Number of medications taken
Mapped Trait(s)	number of treatments or medications taken, self-reported (EFO_0009803)
Additional Trait Information	https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI137

Released in PGS Catalog: Oct. 21, 2021

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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_INI137
Development Method
Name	snpnet
Parameters	NR
Variants
Original Genome Build	GRCh37
Number of Variants	8,085
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% 269,672 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
—	269,672 individuals	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
PPM007778	PSS004836\| African Ancestry\| 6,483 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: # of medications taken	—	—	R²: 0.10873 [0.09444, 0.12301] Incremental R2 (full-covars): -0.00564 PGS R2 (no covariates): 0.00035 [-0.00056, 0.00126]	age, sex, UKB array type, Genotype PCs	—
PPM007779	PSS004837\| East Asian Ancestry\| 1,702 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: # of medications taken	—	—	R²: 0.10438 [0.07695, 0.1318] Incremental R2 (full-covars): -0.01455 PGS R2 (no covariates): 3e-05 [-0.00047, 0.00053]	age, sex, UKB array type, Genotype PCs	—
PPM007780	PSS004838\| European Ancestry\| 24,894 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: # of medications taken	—	—	R²: 0.09752 [0.09052, 0.10452] Incremental R2 (full-covars): 0.01417 PGS R2 (no covariates): 0.01416 [0.01125, 0.01708]	age, sex, UKB array type, Genotype PCs	—
PPM007781	PSS004839\| South Asian Ancestry\| 7,812 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: # of medications taken	—	—	R²: 0.13684 [0.1227, 0.15098] Incremental R2 (full-covars): 0.00757 PGS R2 (no covariates): 0.00724 [0.0035, 0.01098]	age, sex, UKB array type, Genotype PCs	—
PPM007782	PSS004840\| European Ancestry\| 67,419 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: # of medications taken	—	—	R²: 0.08553 [0.0815, 0.08957] Incremental R2 (full-covars): 0.01548 PGS R2 (no covariates): 0.01558 [0.01372, 0.01743]	age, sex, UKB array type, Genotype PCs	—

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
PSS004836	—	—	6,483 individuals	—	African unspecified	—	UKB	—
PSS004837	—	—	1,702 individuals	—	East Asian	—	UKB	—
PSS004838	—	—	24,894 individuals	—	European	non-white British ancestry	UKB	—
PSS004839	—	—	7,812 individuals	—	South Asian	—	UKB	—
PSS004840	—	—	67,419 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)