Polygenic Score (PGS) ID: PGS002666

Predicted Trait
Reported Trait Systolic blood pressure
Mapped Trait(s) systolic blood pressure (EFO_0006335)
Released in PGS Catalog: June 9, 2022
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Score Details

Score Construction
PGS Name bp_SYSTOLICadjMEDz.PolyFun-pred
Development Method
Name PolyFun-pred
Parameters NR
Variants
Original Genome Build GRCh37
Number of Variants 548,088
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
PPM014382 PSS009839|
African Ancestry|
6,128 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Systolic Blood Pressure Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0256 age, sex, age*sex, assessment center, genotyping array, 10 PCs See bp_SYSTOLICadjMEDz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014431 PSS009840|
East Asian Ancestry|
859 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Systolic Blood Pressure Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0819 age, sex, age*sex, assessment center, genotyping array, 10 PCs See bp_SYSTOLICadjMEDz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014480 PSS009841|
European Ancestry|
40,059 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Systolic Blood Pressure Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1129 age, sex, age*sex, assessment center, genotyping array, 10 PCs See bp_SYSTOLICadjMEDz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014529 PSS009842|
South Asian Ancestry|
7,573 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Systolic Blood Pressure Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0723 age, sex, age*sex, assessment center, genotyping array, 10 PCs See bp_SYSTOLICadjMEDz.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
PSS009839 6,128 individuals African unspecified UKB
PSS009840 859 individuals East Asian UKB
PSS009841 40,059 individuals European Non-British European UKB
PSS009842 7,573 individuals South Asian UKB