Polygenic Score (PGS) ID: PGS001133

Predicted Trait
Reported Trait Diastolic BP (AR)
Mapped Trait(s) diastolic blood pressure (EFO_0006336)
Additional Trait Information https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI4079
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_INI4079
Development Method
Name snpnet
Parameters NR
Variants
Original Genome Build GRCh37
Number of Variants 14,103
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%
255,692 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
255,692 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
PPM008393 PSS007261|
African Ancestry|
6,409 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Diastolic BP (AR) : 0.00961 [0.00489, 0.01433]
Incremental R2 (full-covars): 0.004
PGS R2 (no covariates): 0.00541 [0.00186, 0.00897]
age, sex, UKB array type, Genotype PCs
PPM008394 PSS007262|
East Asian Ancestry|
1,634 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Diastolic BP (AR) : 0.10887 [0.081, 0.13673]
Incremental R2 (full-covars): 0.03804
PGS R2 (no covariates): 0.04085 [0.02248, 0.05923]
age, sex, UKB array type, Genotype PCs
PPM008395 PSS007263|
European Ancestry|
23,727 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Diastolic BP (AR) : 0.08484 [0.07822, 0.09146]
Incremental R2 (full-covars): 0.04531
PGS R2 (no covariates): 0.04978 [0.04451, 0.05504]
age, sex, UKB array type, Genotype PCs
PPM008396 PSS007264|
South Asian Ancestry|
7,640 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Diastolic BP (AR) : 0.03516 [0.02715, 0.04317]
Incremental R2 (full-covars): 0.02383
PGS R2 (no covariates): 0.02615 [0.01918, 0.03312]
age, sex, UKB array type, Genotype PCs
PPM008397 PSS007265|
European Ancestry|
63,825 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Diastolic BP (AR) : 0.07507 [0.07124, 0.07889]
Incremental R2 (full-covars): 0.04511
PGS R2 (no covariates): 0.04581 [0.04273, 0.04889]
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
PSS007261 6,409 individuals African unspecified UKB
PSS007262 1,634 individuals East Asian UKB
PSS007263 23,727 individuals European non-white British ancestry UKB
PSS007264 7,640 individuals South Asian UKB
PSS007265 63,825 individuals European white British ancestry UKB Testing cohort (heldout set)