PGS Publication: PGP000574

Publication Information (EuropePMC)
Title Associations of polygenic risk scores for preeclampsia and blood pressure with hypertensive disorders of pregnancy.
PubMed ID 36947680(Europe PMC)
doi 10.1097/hjh.0000000000003336
Publication Date Dec. 16, 2022
Journal J Hypertens
Author(s) Nurkkala J, Kauko A, FinnGen, Laivuori H, Saarela T, Tyrmi JS, Vaura F, Cheng S, Bello NA, Aittokallio J, Niiranen T.
Released in PGS Catalog: Jan. 26, 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:
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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 Scoring File (FTP Link)
PGS004594
(ukb.sbp.female)
PGP000574 |
Nurkkala J et al. J Hypertens (2022)
Systolic blood pressure systolic blood pressure 1,097,355
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004594/ScoringFiles/PGS004594.txt.gz
PGS004593
(pe)
PGP000574 |
Nurkkala J et al. J Hypertens (2022)
Preeclampsia preeclampsia 1,102,059
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004593/ScoringFiles/PGS004593.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
PPM020741 PGS004594
(ukb.sbp.female)
PSS011387|
European Ancestry|
138,317 individuals
PGP000574 |
Nurkkala J et al. J Hypertens (2022)
Reported Trait: Gestational hypertension HR: 1.38 [1.35, 1.41] Collection year, genotyping batch, and the first 10 genetic principal components
PPM020742 PGS004594
(ukb.sbp.female)
PSS011388|
European Ancestry|
136,354 individuals
PGP000574 |
Nurkkala J et al. J Hypertens (2022)
Reported Trait: Preeclampsia HR: 1.26 [1.23, 1.29] Collection year, genotyping batch, and the first 10 genetic principal components
PPM020743 PGS004593
(pe)
PSS011387|
European Ancestry|
138,317 individuals
PGP000574 |
Nurkkala J et al. J Hypertens (2022)
Reported Trait: Gestational hypertension HR: 1.16 [1.14, 1.19] Collection year, genotyping batch, and the first 10 genetic principal components
PPM020744 PGS004593
(pe)
PSS011388|
European Ancestry|
136,354 individuals
PGP000574 |
Nurkkala J et al. J Hypertens (2022)
Reported Trait: Preeclampsia HR: 1.21 [1.18, 1.24] Collection year, genotyping batch, and the first 10 genetic principal components

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
PSS011387
[
  • 8,488 cases
  • , 129,829 controls
]
,
0.0 % Male samples
European
(Finnish)
FinnGen
PSS011388
[
  • 6,643 cases
  • , 129,711 controls
]
,
0.0 % Male samples
European
(Finnish)
FinnGen