Trait: number of treatments or medications taken, self-reported

Experimental Factor Ontology (EFO) Information
Identifier EFO_0009803
Description Number of treatments undergone by an individual (including medications taken), as reported by the in... dividual.Show more
Trait category
Other trait

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
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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)
PGS001003
(GBE_INI137)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Number of medications takennumber of treatments or medications taken, self-reported8,085
-
D
E
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001003/ScoringFiles/PGS001003.txt.gz
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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.

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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
PPM007778PGS001003
(GBE_INI137)
PSS004836|
African Ancestry|
6,483 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: # of medications taken: 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
PPM007779PGS001003
(GBE_INI137)
PSS004837|
East Asian Ancestry|
1,702 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: # of medications taken: 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
PPM007780PGS001003
(GBE_INI137)
PSS004838|
European Ancestry|
24,894 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: # of medications taken: 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
PPM007781PGS001003
(GBE_INI137)
PSS004839|
South Asian Ancestry|
7,812 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: # of medications taken: 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
PPM007782PGS001003
(GBE_INI137)
PSS004840|
European Ancestry|
67,419 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: # of medications taken: 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
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Evaluated Samples

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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
PSS0048366,483 individualsAfrican unspecifiedUKB
PSS0048371,702 individualsEast AsianUKB
PSS00483824,894 individualsEuropeannon-white British ancestryUKB
PSS0048397,812 individualsSouth AsianUKB
PSS00484067,419 individualsEuropeanwhite British ancestryUKBTesting cohort (heldout set)
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