PGS Publication: PGP000462

Publication Information (EuropePMC)
Title Polygenic prediction of preeclampsia and gestational hypertension.
PubMed ID 37248299(Europe PMC)
doi 10.1038/s41591-023-02374-9
Publication Date May 29, 2023
Journal Nat Med
Author(s) Honigberg MC, Truong B, Khan RR, Xiao B, Bhatta L, Vy HMT, Guerrero RF, Schuermans A, Selvaraj MS, Patel AP, Koyama S, Cho SMJ, Vellarikkal SK, Trinder M, Urbut SM, Gray KJ, Brumpton BM, Patil S, Zöllner S, Antopia MC, Saxena R, Nadkarni GN, Do R, Yan Q, Pe'er I, Verma SS, Gupta RM, Haas DM, Martin HC, van Heel DA, Laisk T, Natarajan P.
Released in PGS Catalog: June 22, 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)
PGS003586
(PE)
 PGP000462 |
Honigberg MC et al. Nat Med (2023)
 Pre-eclampsia preeclampsia 1,087,033
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003586/ScoringFiles/PGS003586.txt.gz
PGS003588
(SBP)
 PGP000462 |
Honigberg MC et al. Nat Med (2023)
 Systolic blood pressure systolic blood pressure 1,064,898
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003588/ScoringFiles/PGS003588.txt.gz
PGS003587
(GH)
 PGP000462 |
Honigberg MC et al. Nat Med (2023)
 Gestational hypertension preeclampsia 1,087,916
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003587/ScoringFiles/PGS003587.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
PPM018281 PGS003587
(GH)
 PSS010956|
European Ancestry|
25,582 individuals
 PGP000462 |
Honigberg MC et al. Nat Med (2023)
 Reported Trait: Pre-eclampsia/eclampsia OR: 1.2 [1.14, 1.26] — — maternal age at delivery, age2, and the first ten principal components of genetic ancestry —
PPM018282 PGS003588
(SBP)
 PSS010956|
European Ancestry|
25,582 individuals
 PGP000462 |
Honigberg MC et al. Nat Med (2023)
 Reported Trait: Pre-eclampsia/eclampsia OR: 1.24 [1.17, 1.3] — — maternal age at delivery, age2, and the first ten principal components of genetic ancestry —
PPM018280 PGS003586
(PE)
 PSS010956|
European Ancestry|
25,582 individuals
 PGP000462 |
Honigberg MC et al. Nat Med (2023)
 Reported Trait: Pre-eclampsia/eclampsia OR: 1.31 [1.24, 1.38] — — maternal age at delivery, age2, and the first ten 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
PSS010956 — —
[
  • 1,569 cases
  • , 24,013 controls
]
 — European — HUNT —