Polygenic Score (PGS) ID: PGS003971

Predicted Trait
Reported Trait Systolic blood pressure
Mapped Trait(s) systolic blood pressure (EFO_0006335)
Released in PGS Catalog: Oct. 17, 2023
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Score Details

Score Construction
PGS Name HARE_META_SBP_PRS_FEMALE
Development Method
Name PRS-CS
Parameters Hapmap only variants with EUR as LD reference
Variants
Original Genome Build GRCh38
Number of Variants 1,115,520
Effect Weight Type beta
PGS Source
PGS Catalog Publication (PGP) ID PGP000512
Citation (link to publication) Shetty NS et al. Circ Genom Precis Med (2023)
Ancestry Distribution
Source of Variant
Associations (GWAS)
European: 94.4%
Multi-ancestry (excluding European): 2%
  • East Asian
  • South Asian
African: 1.6%
Not Reported: 1.3%
Additional Diverse Ancestries: 0.7%
263,001 individuals (100%)
Score Development/Training
Multi-ancestry (including European): 100%
  • European
  • African
  • East Asian
  • South Asian
  • Greater Middle Eastern
  • Hispanic or Latin American
127,679 individuals (100%)
PGS Evaluation
Multi-ancestry (including European): 100%
  • European
  • African
  • East Asian
  • South Asian
  • Greater Middle Eastern
  • Hispanic or Latin American
3 Sample Sets

Development Samples

Source of Variant Associations (GWAS)
Study Identifiers Sample Numbers Sample Ancestry Cohort(s)
248,221 individuals European UKB
4,319 individuals African unspecified UKB
5,257 individuals East Asian, South Asian UKB
1,763 individuals Other admixed ancestry UKB
3,441 individuals Not reported UKB
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
127,679 individuals European, African unspecified, East Asian, South Asian, Greater Middle Eastern (Middle Eastern, North African or Persian), Hispanic or Latin American AllofUs

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
PPM019125 PSS011191|
Multi-ancestry (including European)|
127,679 individuals
PGP000512 |
Shetty NS et al. Circ Genom Precis Med (2023)
Reported Trait: Systolic Blood Pressure β: 2.47 (0.05) : 0.18
PPM019127 PSS011191|
Multi-ancestry (including European)|
127,679 individuals
PGP000512 |
Shetty NS et al. Circ Genom Precis Med (2023)
Reported Trait: Hypertension OR: 1.29 [1.27, 1.3] : 0.11
PPM019129 PSS011191|
Multi-ancestry (including European)|
127,679 individuals
PGP000512 |
Shetty NS et al. Circ Genom Precis Med (2023)
Reported Trait: Hypertension Odds ratio (OR, high vs low tertile): 1.81 [1.68, 1.95] age, and the first 10 principal components of genetic ancestry
PPM019131 PSS011195|
Multi-ancestry (including European)|
60,049 individuals
PGP000512 |
Shetty NS et al. Circ Genom Precis Med (2023)
Reported Trait: Hypertension Odds ratio (OR, high vs low tertile): 1.71 [1.48, 1.98] age, and the first 10 principal components of genetic ancestry
PPM019133 PSS011193|
Multi-ancestry (including European)|
67,630 individuals
PGP000512 |
Shetty NS et al. Circ Genom Precis Med (2023)
Reported Trait: Hypertension Odds ratio (OR, high vs low tertile): 1.65 [1.45, 1.84] age, and the first 10 principal components of genetic ancestry

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
PSS011191 127,679 individuals,
0.0 % Male samples
European, African unspecified, East Asian, South Asian, Greater Middle Eastern (Middle Eastern, North African or Persian), Hispanic or Latin American AllofUs
PSS011193 67,630 individuals,
0.0 % Male samples
European, African unspecified, East Asian, South Asian, Greater Middle Eastern (Middle Eastern, North African or Persian), Hispanic or Latin American AllofUs
PSS011195 60,049 individuals,
0.0 % Male samples
European, African unspecified, East Asian, South Asian, Greater Middle Eastern (Middle Eastern, North African or Persian), Hispanic or Latin American AllofUs