Polygenic Score (PGS) ID: PGS003968

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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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 SBP_weightedPRSsum
Development Method
Name PRSice-2, LDpred2-auto, PRS-CSx
Parameters PRSsum = UKBB+ICBP (PRS1), MVP, (PRS2), BBJ (PRS3), and COGENT (PRS4)
Variants
Original Genome Build NR
Number of Variants 1,267,240
Effect Weight Type beta
PGS Source
PGS Catalog Publication (PGP) ID PGP000510
Citation (link to publication) Kurniansyah N et al. Nat Commun (2023)
Ancestry Distribution
Source of Variant
Associations (GWAS)
European: 79%
East Asian: 11%
African: 7.6%
Hispanic or Latin American: 1.8%
Additional Asian Ancestries: 0.4%
Additional Diverse Ancestries: 0.2%
1,244,244 individuals (100%)
Score Development/Training
European: 62.6%
African: 16.8%
Hispanic or Latin American: 13.6%
Additional Asian Ancestries: 5.5%
Not Reported: 1.6%
98,925 individuals (100%)
PGS Evaluation
Multi-ancestry (including European): 100%
  • African
  • Additional Asian Ancestries
  • European
  • Hispanic or Latin American
1 Sample Sets

Development Samples

Source of Variant Associations (GWAS)
Study Identifiers Sample Numbers Sample Ancestry Cohort(s)
GWAS Catalog: GCST007270
Europe PMC: 30578418
 225,112 individuals European MVP
GWAS Catalog: GCST007270
Europe PMC: 30578418
 63,490 individuals African unspecified MVP
GWAS Catalog: GCST007270
Europe PMC: 30578418
 22,802 individuals Hispanic or Latin American MVP
GWAS Catalog: GCST007270
Europe PMC: 30578418
 4,792 individuals Asian unspecified MVP
GWAS Catalog: GCST007270
Europe PMC: 30578418
 2,695 individuals Native American MVP
GWAS Catalog: GCST005979
Europe PMC: 29403010
 136,597 individuals East Asian BBJ
GWAS Catalog: GCST006624
Europe PMC: 30224653
 757,601 individuals European ICBP, UKB
GWAS Catalog: GCST004385
Europe PMC: 28498854
 31,155 individuals African unspecified COGENT
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
— 14,746 individuals,
36.9 % Male samples
 African unspecified 10 cohorts
  • ARIC
  • ,BioMe
  • ,CARDIA
  • ,CFS
  • ,CHS
  • ,COPDGene
  • ,GENOA
  • ,JHS
  • ,MESA
  • ,WHI
 — Mean = 53.94 years
Sd = 14.34 years		 — — —
— 4,671 individuals,
48.4 % Male samples
 Asian unspecified BioMe, GenSalt, MESA, WHI — Mean = 48.35 years
Sd = 12.97 years		 — — THRV (NHLBI TOPMed: Rare Variants for Hypertension in Taiwan Chinese)
— 30,943 individuals,
33.8 % Male samples
 European 11 cohorts
  • AMISH
  • ,ARIC
  • ,BioMe
  • ,CARDIA
  • ,CFS
  • ,CHS
  • ,COPDGene
  • ,FHS
  • ,GenSalt
  • ,MESA
  • ,WHI
 — Mean = 57.85 years
Sd = 14.59 years		 — — —
— 12,131 individuals,
40.0 % Male samples
 Hispanic or Latin American 7 cohorts
  • BioMe
  • ,CHS
  • ,FHS
  • ,HCHS
  • ,MESA
  • ,SOL
  • ,WHI
 — Mean = 51.27 years
Sd = 14.57 years		 — — —
— 1,837 individuals,
36.7 % Male samples
 African unspecified MGBB — Mean = 55.25 years
Sd = 16.08 years		 — — —
— 736 individuals,
40.2 % Male samples
 Asian unspecified MGBB — Mean = 50.99 years
Sd = 15.92 years		 — — —
— 30,935 individuals,
46.2 % Male samples
 European MGBB — Mean = 62.15 years
Sd = 16.37 years		 — — —
— 1,341 individuals,
31.3 % Male samples
 Hispanic or Latin American MGBB — Mean = 52.21 years
Sd = 16.49 years		 — — —
— 1,585 individuals,
59.0 % Male samples
 Not reported MGBB — — — — —

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
PPM019121 PSS011189|
Multi-ancestry (including European)|
88,521 individuals
 PGP000510 |
Kurniansyah N et al. Nat Commun (2023)
 Reported Trait: Systolic blood pressure β: 3.62 [3.47, 3.77] — — age, sex at birth, BMI, self-reported race/ethnicity, and the first 10 PCs of genetic data best performing SBP PRSs as selected in the TOPMed dataset (PRS-CSx2)

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
PSS011189 — — 19,441 individuals,
44.7 % Male samples
 Mean = 47.36 years
Sd = 14.8 years		 African unspecified — AllofUs —
PSS011189 — — 2,891 individuals,
40.3 % Male samples
 Mean = 42.96 years
Sd = 16.67 years		 Asian unspecified — AllofUs —
PSS011189 — — 48,155 individuals,
40.4 % Male samples
 Mean = 53.65 years
Sd = 16.61 years		 European — AllofUs —
PSS011189 — — 18,034 individuals,
31.9 % Male samples
 Mean = 44.27 years
Sd = 15.79 years		 Hispanic or Latin American — AllofUs —