PGS Publication: PGP000512

Publication Information (EuropePMC)
Title Sex Differences in the Association of Genome-Wide Systolic Blood Pressure Polygenic Risk Score With Hypertension.
PubMed ID 37807951(Europe PMC)
doi 10.1161/circgen.123.004259
Publication Date Oct. 9, 2023
Journal Circ Genom Precis Med
Author(s) Shetty NS, Pampana A, Patel N, Li P, Yerabolu K, Gaonkar M, Arora G, Arora P.
Released in PGS Catalog: Oct. 17, 2023

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
Display options:
Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported

PGS Developed By This Publication

Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution
GWAS
Dev
Eval
 Scoring File (FTP Link)
PGS003970
(HARE_META_SBP_PRS_MALE)
 PGP000512 |
Shetty NS et al. Circ Genom Precis Med (2023)
 Systolic blood pressure systolic blood pressure 1,115,602
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003970/ScoringFiles/PGS003970.txt.gz
PGS003971
(HARE_META_SBP_PRS_FEMALE)
 PGP000512 |
Shetty NS et al. Circ Genom Precis Med (2023)
 Systolic blood pressure systolic blood pressure 1,115,520
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003971/ScoringFiles/PGS003971.txt.gz

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) 		Evaluated Score 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 PGS003970
(HARE_META_SBP_PRS_MALE)
 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 — —
PPM019125 PGS003971
(HARE_META_SBP_PRS_FEMALE)
 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) — R²: 0.18 — —
PPM019126 PGS003970
(HARE_META_SBP_PRS_MALE)
 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 — —
PPM019127 PGS003971
(HARE_META_SBP_PRS_FEMALE)
 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] — R²: 0.11 — —
PPM019128 PGS003970
(HARE_META_SBP_PRS_MALE)
 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 —
PPM019129 PGS003971
(HARE_META_SBP_PRS_FEMALE)
 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 —
PPM019130 PGS003970
(HARE_META_SBP_PRS_MALE)
 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 —
PPM019131 PGS003971
(HARE_META_SBP_PRS_FEMALE)
 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 —
PPM019132 PGS003970
(HARE_META_SBP_PRS_MALE)
 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 —
PPM019133 PGS003971
(HARE_META_SBP_PRS_FEMALE)
 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 —
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 —
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 —
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 —
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 —
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 —