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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Terms and Licenses
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 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)
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Study Identifiers
Sample Numbers
Sample Ancestry
Cohort(s)
310,831 individualsEuropeanUKB
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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.

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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
PPM014355PSS009731|
African Ancestry|
6,128 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diastolic blood pressureIncremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.023age, sex, age*sex, assessment center, genotyping array, 10 PCsSee bp_DIASTOLICadjMEDz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_result... s for combination weightsShow more
PPM014404PSS009732|
East Asian Ancestry|
859 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diastolic blood pressureIncremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0907age, sex, age*sex, assessment center, genotyping array, 10 PCsSee bp_DIASTOLICadjMEDz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_result... s for combination weightsShow more
PPM014453PSS009733|
European Ancestry|
40,059 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diastolic blood pressureIncremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1136age, sex, age*sex, assessment center, genotyping array, 10 PCsSee bp_DIASTOLICadjMEDz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_result... s for combination weightsShow more
PPM014502PSS009734|
South Asian Ancestry|
7,573 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diastolic blood pressureIncremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0588age, sex, age*sex, assessment center, genotyping array, 10 PCsSee bp_DIASTOLICadjMEDz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_result... s for combination weightsShow more
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Evaluated Samples

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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
PSS0097316,128 individualsAfrican unspecifiedUKB
PSS009732859 individualsEast AsianUKB
PSS00973340,059 individualsEuropeanNon-British EuropeanUKB
PSS0097347,573 individualsSouth AsianUKB
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