Polygenic Score (PGS) ID: PGS002639

Predicted Trait
Reported Trait Diastolic blood pressure
Mapped Trait(s) diastolic blood pressure (EFO_0006336)
Released in PGS Catalog: June 9, 2022
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Score Details

Score Construction
PGS Name bp_DIASTOLICadjMEDz.PolyFun-pred
Development Method
Name PolyFun-pred
Parameters NR
Variants
Original Genome Build GRCh37
Number of Variants 539,912
Effect Weight Type beta
PGS Source
PGS Catalog Publication (PGP) ID PGP000332
Citation (link to publication) Weissbrod O et al. Nat Genet (2022)
Ancestry Distribution
Source of Variant
Associations (GWAS)
European: 100%
310,831 individuals (100%)
PGS Evaluation
African: 25%
East Asian: 25%
European: 25%
South Asian: 25%
4 Sample Sets

Development Samples

Source of Variant Associations (GWAS)
Study Identifiers Sample Numbers Sample Ancestry Cohort(s)
— 310,831 individuals European UKB

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
PPM014355 PSS009731|
African Ancestry|
6,128 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Diastolic blood pressure — — Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.023 age, sex, age*sex, assessment center, genotyping array, 10 PCs See bp_DIASTOLICadjMEDz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014404 PSS009732|
East Asian Ancestry|
859 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Diastolic blood pressure — — Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0907 age, sex, age*sex, assessment center, genotyping array, 10 PCs See bp_DIASTOLICadjMEDz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014453 PSS009733|
European Ancestry|
40,059 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Diastolic blood pressure — — Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1136 age, sex, age*sex, assessment center, genotyping array, 10 PCs See bp_DIASTOLICadjMEDz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014502 PSS009734|
South Asian Ancestry|
7,573 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Diastolic blood pressure — — Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0588 age, sex, age*sex, assessment center, genotyping array, 10 PCs See bp_DIASTOLICadjMEDz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights

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
PSS009732 — — 859 individuals — East Asian — UKB —
PSS009733 — — 40,059 individuals — European Non-British European UKB —
PSS009734 — — 7,573 individuals — South Asian — UKB —
PSS009731 — — 6,128 individuals — African unspecified — UKB —