PGS Publication: PGP000581

Publication Information (EuropePMC)
Title Genome-wide analysis in over 1 million individuals of European ancestry yields improved polygenic risk scores for blood pressure traits.
PubMed ID 38689001(Europe PMC)
doi 10.1038/s41588-024-01714-w
Publication Date April 30, 2024
Journal Nat Genet
Author(s) Keaton JM, Kamali Z, Xie T, Vaez A, Williams A, Goleva SB, Ani A, Evangelou E, Hellwege JN, Yengo L, Young WJ, Traylor M, Giri A, Zheng Z, Zeng J, Chasman DI, Morris AP, Caulfield MJ, Hwang SJ, Kooner JS, Conen D, Attia JR, Morrison AC, Loos RJF, Kristiansson K, Schmidt R, Hicks AA, Pramstaller PP, Nelson CP, Samani NJ, Risch L, Gyllensten U, Melander O, Riese H, Wilson JF, Campbell H, Rich SS, Psaty BM, Lu Y, Rotter JI, Guo X, Rice KM, Vollenweider P, Sundström J, Langenberg C, Tobin MD, Giedraitis V, Luan J, Tuomilehto J, Kutalik Z, Ripatti S, Salomaa V, Girotto G, Trompet S, Jukema JW, van der Harst P, Ridker PM, Giulianini F, Vitart V, Goel A, Watkins H, Harris SE, Deary IJ, van der Most PJ, Oldehinkel AJ, Keavney BD, Hayward C, Campbell A, Boehnke M, Scott LJ, Boutin T, Mamasoula C, Järvelin MR, Peters A, Gieger C, Lakatta EG, Cucca F, Hui J, Knekt P, Enroth S, De Borst MH, Polašek O, Concas MP, Catamo E, Cocca M, Li-Gao R, Hofer E, Schmidt H, Spedicati B, Waldenberger M, Strachan DP, Laan M, Teumer A, Dörr M, Gudnason V, Cook JP, Ruggiero D, Kolcic I, Boerwinkle E, Traglia M, Lehtimäki T, Raitakari OT, Johnson AD, Newton-Cheh C, Brown MJ, Dominiczak AF, Sever PJ, Poulter N, Chambers JC, Elosua R, Siscovick D, Esko T, Metspalu A, Strawbridge RJ, Laakso M, Hamsten A, Hottenga JJ, de Geus E, Morris AD, Palmer CNA, Nolte IM, Milaneschi Y, Marten J, Wright A, Zeggini E, Howson JMM, O'Donnell CJ, Spector T, Nalls MA, Simonsick EM, Liu Y, van Duijn CM, Butterworth AS, Danesh JN, Menni C, Wareham NJ, Khaw KT, Sun YV, Wilson PWF, Cho K, Visscher PM, Denny JC, Million Veteran Program, Lifelines Cohort Study, CHARGE consortium, ICBP Consortium, Levy D, Edwards TL, Munroe PB, Snieder H, Warren HR.
Released in PGS Catalog: May 22, 2024

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)
PGS004604
(DBP-meta-analysis)
PGP000581 |
Keaton JM et al. Nat Genet (2024)
Diastolic blood pressure diastolic blood pressure 7,356,519
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004604/ScoringFiles/PGS004604.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
PGS004603
(SBP-meta-analysis)
PGP000581 |
Keaton JM et al. Nat Genet (2024)
Systolic blood pressure systolic blood pressure 7,356,519
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004603/ScoringFiles/PGS004603.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
PPM020762 PGS004604
(DBP-meta-analysis)
PSS011397|
European Ancestry|
10,210 individuals
PGP000581 |
Keaton JM et al. Nat Genet (2024)
Reported Trait: Diastolic blood pressure : 0.1212
beta (high vs low tertile): 10.31
Age, Age2, Sex, BMI
PPM020763 PGS004605
(PP-meta-analysis)
PSS011397|
European Ancestry|
10,210 individuals
PGP000581 |
Keaton JM et al. Nat Genet (2024)
Reported Trait: Pulse pressure : 0.073
beta (high vs low tertile): 10.04
Age, Age2, Sex, BMI
PPM020765 PGS004604
(DBP-meta-analysis)
PSS011396|
African Ancestry|
21,843 individuals
PGP000581 |
Keaton JM et al. Nat Genet (2024)
Reported Trait: Diastolic blood pressure beta (high vs low tertile): 6.23 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
PPM020761 PGS004603
(SBP-meta-analysis)
PSS011397|
European Ancestry|
10,210 individuals
PGP000581 |
Keaton JM et al. Nat Genet (2024)
Reported Trait: Systolic blood pressure : 0.1137
beta (high vs low tertile): 16.85
Age, Age2, Sex, BMI
PPM020764 PGS004603
(SBP-meta-analysis)
PSS011396|
African Ancestry|
21,843 individuals
PGP000581 |
Keaton JM et al. Nat Genet (2024)
Reported Trait: Systolic blood pressure beta (high vs low tertile): 10.59 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