Polygenic Score (PGS) ID: PGS003970

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_MALE
Development Method
Name PRS-CS
Parameters Hapmap only variants with EUR as LD reference
Variants
Original Genome Build GRCh38
Number of Variants 1,115,602
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: 94.1%
Multi-ancestry (excluding European): 2.5%
  • East Asian
  • South Asian
African: 1.5%
Not Reported: 1.4%
Additional Diverse Ancestries: 0.5%
222,594 individuals (100%)
Score Development/Training
Multi-ancestry (including European): 100%
  • European
  • African
  • East Asian
  • South Asian
  • Greater Middle Eastern
  • Hispanic or Latin American
84,990 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)
— 209,547 individuals European UKB
— 3,267 individuals African unspecified UKB
— 5,659 individuals East Asian, South Asian UKB
— 1,074 individuals Other admixed ancestry UKB
— 3,047 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
— 84,990 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
PPM019124 PSS011192|
Multi-ancestry (including European)|
84,990 individuals
 PGP000512 |
Shetty NS et al. Circ Genom Precis Med (2023)
 Reported Trait: Systolic Blood Pressure β: 1.95 (0.06) — R²: 0.09 — —
PPM019126 PSS011192|
Multi-ancestry (including European)|
84,990 individuals
 PGP000512 |
Shetty NS et al. Circ Genom Precis Med (2023)
 Reported Trait: Hypertension OR: 1.22 [1.2, 1.23] — R²: 0.05 — —
PPM019128 PSS011192|
Multi-ancestry (including European)|
84,990 individuals
 PGP000512 |
Shetty NS et al. Circ Genom Precis Med (2023)
 Reported Trait: Hypertension — — Odds ratio (OR, high vs low tertile): 1.61 [1.46, 1.77] age, and the first 10 principal components of genetic ancestry —
PPM019130 PSS011196|
Multi-ancestry (including European)|
33,632 individuals
 PGP000512 |
Shetty NS et al. Circ Genom Precis Med (2023)
 Reported Trait: Hypertension — — Odds ratio (OR, high vs low tertile): 1.47 [1.27, 1.71] age, and the first 10 principal components of genetic ancestry —
PPM019132 PSS011194|
Multi-ancestry (including European)|
51,358 individuals
 PGP000512 |
Shetty NS et al. Circ Genom Precis Med (2023)
 Reported Trait: Hypertension — — Odds ratio (OR, high vs low tertile): 1.61 [1.44, 1.8] 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
PSS011192 — — 84,990 individuals,
100.0 % Male samples
 — European, African unspecified, East Asian, South Asian, Greater Middle Eastern (Middle Eastern, North African or Persian), Hispanic or Latin American — AllofUs —
PSS011194 — — 51,358 individuals,
100.0 % Male samples
 — European, African unspecified, East Asian, South Asian, Greater Middle Eastern (Middle Eastern, North African or Persian), Hispanic or Latin American — AllofUs —
PSS011196 — — 33,632 individuals,
100.0 % Male samples
 — European, African unspecified, East Asian, South Asian, Greater Middle Eastern (Middle Eastern, North African or Persian), Hispanic or Latin American — AllofUs —