Polygenic Score (PGS) ID: PGS000935

Predicted Trait
Reported Trait High blood pressure, age at diagnosis
Mapped Trait(s)
Additional Trait Information https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI2966
Released in PGS Catalog: Oct. 21, 2021
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Score Details

Score Construction
PGS Name GBE_INI2966
Development Method
Name snpnet
Parameters NR
Variants
Original Genome Build GRCh37
Number of Variants 370
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%
68,490 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
— 68,490 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
PPM007502 PSS006881|
African Ancestry|
2,132 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Age high BP diagnosed — — R²: 0.30909 [0.29042, 0.32776]
Incremental R2 (full-covars): -0.00137
PGS R2 (no covariates): 0.00048 [-0.00058, 0.00155]		 age, sex, UKB array type, Genotype PCs —
PPM007503 PSS006882|
East Asian Ancestry|
324 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Age high BP diagnosed — — R²: 0.45043 [0.41548, 0.48538]
Incremental R2 (full-covars): 0.00012
PGS R2 (no covariates): 0.00802 [-0.0004, 0.01644]		 age, sex, UKB array type, Genotype PCs —
PPM007504 PSS006883|
European Ancestry|
5,696 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Age high BP diagnosed — — R²: 0.35176 [0.34221, 0.3613]
Incremental R2 (full-covars): -7e-05
PGS R2 (no covariates): 0.00205 [0.00093, 0.00318]		 age, sex, UKB array type, Genotype PCs —
PPM007505 PSS006884|
South Asian Ancestry|
2,038 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Age high BP diagnosed — — R²: 0.3864 [0.36951, 0.40329]
Incremental R2 (full-covars): 0.00339
PGS R2 (no covariates): 0.00948 [0.00521, 0.01375]		 age, sex, UKB array type, Genotype PCs —
PPM007506 PSS006885|
European Ancestry|
17,194 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Age high BP diagnosed — — R²: 0.30232 [0.29652, 0.30811]
Incremental R2 (full-covars): 0.00145
PGS R2 (no covariates): 0.00247 [0.00172, 0.00322]		 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
PSS006881 — — 2,132 individuals — African unspecified — UKB —
PSS006882 — — 324 individuals — East Asian — UKB —
PSS006883 — — 5,696 individuals — European non-white British ancestry UKB —
PSS006884 — — 2,038 individuals — South Asian — UKB —
PSS006885 — — 17,194 individuals — European white British ancestry UKB Testing cohort (heldout set)