Polygenic Score (PGS) ID: PGS001525

Predicted Trait
Reported Trait QRS duration
Mapped Trait(s) QRS duration (EFO_0005055)
Additional Trait Information https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI12340
Released in PGS Catalog: Nov. 25, 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_INI12340
Development Method
Name snpnet
Parameters NR
Variants
Original Genome Build GRCh37
Number of Variants 401
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%
21,082 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
— 21,082 individuals European UKB — — — white British ancestry Training + validation cohort (train_val)

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
PPM005235 PSS004806|
African Ancestry|
203 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: QRS duration — — R²: 0.20692 [0.18939, 0.22446]
Incremental R2 (full-covars): 0.01284
PGS R2 (no covariates): 0.02209 [0.01502, 0.02915]		 age, sex, UKB array type, Genotype PCs —
PPM005236 PSS004807|
East Asian Ancestry|
102 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: QRS duration — — R²: 0.199 [0.16514, 0.23286]
Incremental R2 (full-covars): 0.01328
PGS R2 (no covariates): 0.00454 [-0.00181, 0.0109]		 age, sex, UKB array type, Genotype PCs —
PPM005237 PSS004808|
European Ancestry|
1,601 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: QRS duration — — R²: 0.1428 [0.13475, 0.15084]
Incremental R2 (full-covars): 0.02153
PGS R2 (no covariates): 0.01977 [0.01635, 0.02319]		 age, sex, UKB array type, Genotype PCs —
PPM005238 PSS004809|
South Asian Ancestry|
315 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: QRS duration — — R²: 0.20988 [0.19385, 0.2259]
Incremental R2 (full-covars): 0.00738
PGS R2 (no covariates): 0.00578 [0.00243, 0.00912]		 age, sex, UKB array type, Genotype PCs —
PPM005239 PSS004810|
European Ancestry|
5,223 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: QRS duration — — R²: 0.11697 [0.11241, 0.12153]
Incremental R2 (full-covars): 0.01872
PGS R2 (no covariates): 0.02164 [0.01947, 0.02382]		 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
PSS004806 — — 203 individuals — African unspecified — UKB —
PSS004807 — — 102 individuals — East Asian — UKB —
PSS004808 — — 1,601 individuals — European non-white British ancestry UKB —
PSS004809 — — 315 individuals — South Asian — UKB —
PSS004810 — — 5,223 individuals — European white British ancestry UKB Testing cohort (heldout set)