Trait: pulse pressure measurement

Experimental Factor Ontology (EFO) Information
Identifier EFO_0005763
Description quantification of the difference between systolic blood pressure and diastolic blood pressure. Higher PP is associated with left ventricle hypertrophy and the increased intimal thickness of the carotid artery, which represent early target organ damage in cardiovascular diseases
Trait category
Cardiovascular measurement

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
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)
PGS003477
(LDPred2_PP)
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Pulse pressure pulse pressure measurement 847,747
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003477/ScoringFiles/PGS003477.txt.gz
PGS004605
(PP-meta-analysis)
 PGP000581 |
Keaton JM et al. Nat Genet (2024)
 Pulse pressure pulse pressure measurement 7,356,519
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004605/ScoringFiles/PGS004605.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
PPM017287 PGS003477
(LDPred2_PP)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Respiratory event index β: -0.022 (0.01) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017310 PGS003477
(LDPred2_PP)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Obstructive sleep apnea β: -0.032 (0.024) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017354 PGS003477
(LDPred2_PP)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Respiratory event index in obsese β: -0.013 (0.017) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017374 PGS003477
(LDPred2_PP)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Obstructive sleep apnea in obsese β: -0.012 (0.034) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017375 PGS003477
(LDPred2_PP)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Obstructive sleep apnea in non-obsese β: -0.057 (0.035) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017355 PGS003477
(LDPred2_PP)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Respiratory event index in non-obsese β: -0.024 (0.012) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017399 PGS003477
(LDPred2_PP)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Respiratory event index x obesity interaction β: -0.001 (0.999) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017409 PGS003477
(LDPred2_PP)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Obstructive sleep apnea x obesity interaction β: 1.028 (0.05) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM020763 PGS004605
(PP-meta-analysis)
 PSS011397|
European Ancestry|
10,210 individuals
 PGP000581 |
Keaton JM et al. Nat Genet (2024)
 Reported Trait: Pulse pressure — — R²: 0.073
beta (high vs low tertile): 10.04		 Age, Age2, Sex, BMI —
PPM020766 PGS004605
(PP-meta-analysis)
 PSS011396|
African Ancestry|
21,843 individuals
 PGP000581 |
Keaton JM et al. Nat Genet (2024)
 Reported Trait: Pulse pressure — — beta (high vs low tertile): 5.45 Age, Age2, Sex, BMI —

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
PSS011396 the earliest median eligible non-Emergency Department outpatient measured SBP in the electronic health record, and the corresponding DBP. For individuals with an even number of SBP measures in their record, the lower value was used to compute the median. For individuals with fewer than three measurements available, the lowest available SBP and corresponding DBP were used. Measures were considered ineligible if they occurred at or after an ICD-9/10 billing code from the groups 585/N18 (chronic kidney disease), 405/I15 (secondary hypertension), or 428/I50 (heart failure). For participants who had started an antihypertensive medication before the date of their median SBP measurement, 15 mm Hg was added to SBP and 10 mm Hg to DBP. Eligible SBP measures were restricted to a range of 30 to 300 mmHg. Eligible DBP measures were restricted to values over 30 mmHg. Eligible DBP measures were restricted to values over 30 mmHg. Sample size for SBP, DBP, and PP GWAS analysis included 21,843 individuals. Pulse pressure was defined as SBP minus DBP. Hypertension status was defined by phecodes 401* and/or antihypertensive medication use. — 21,843 individuals,
42.69 % Male samples
 Mean = 48.3 years
Sd = 14.75 years		 African American or Afro-Caribbean
(American)		 — AllofUs —
PSS011397 In Lifelines, BP was measured every minute during a period of ten minutes using an automated DINAMAP Monitor (GE Healthcare) and the average of the final three readings was recorded for SBP and DBP. Participants with a measured BP ≥140/90 mm Hg irrespective of treatment and those taking antihypertensive medication (ATC codes C02, C03, C07, C08, C09) irrespective of BP were defined as having hypertension. In continuous trait analyses, 15 mm Hg was added to SBP and 10 mm Hg was added to DBP for 1,236 individuals who were taking antihypertensive medication. PP was calculated using these medication-adjusted BP values. — 10,210 individuals,
41.6 % Male samples
 Mean = 44.66 years
Sd = 13.05 years		 European
(Dutch)		 — LifeLines —
PSS010185 — — 1,115 individuals,
41.1 % Male samples
 Mean = 46.18 years Hispanic or Latin American — HCHS, SOL —