Evidence map›Paper›PMID 37248299›Full record

SynthesisNature medicine2023

Polygenic prediction of preeclampsia and gestational hypertension.

Michael C Honigberg, Buu Truong, Raiyan R Khan, Brenda Xiao, Laxmi Bhatta, Ha My T Vy, Rafael F Guerrero, Art Schuermans, Margaret Sunitha Selvaraj, Aniruddh P Patel and 22 more

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Nature medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed, 3 pooled it
32.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

93 citing papers in PubMed, 3 syntheses or guidelines pooled it, 109 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Ancestry-based antihypertensive therapy: Beware of pitfalls.Acta obstetricia et gynecologica Scandinavica · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Observational

33 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

32 authors at 13 institutions in 6 countries.

Michael C Honigberg *Cardiology Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA. mhonigberg@mgh.harvard.edu.ORCID 0000-0001-8630-5021
Buu Truong *Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Raiyan R KhanDepartment of Computer Science, Columbia University, New York, NY, USA.
Brenda XiaoUniversity of Pennsylvania, Philadelphia, PA, USA.
Laxmi BhattaK.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.
Ha My T VyThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Rafael F GuerreroDepartment of Biological Sciences, North Carolina State University, Raleigh, NC, USA.
Art SchuermansCardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Margaret Sunitha SelvarajCardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Aniruddh P PatelCardiology Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.
Satoshi KoyamaCardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
So Mi Jemma ChoCardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.ORCID 0000-0003-2460-3335
Shamsudheen Karuthedath VellarikkalProgram in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Mark TrinderProgram in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Sarah M UrbutCardiology Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.ORCID 0000-0002-1135-9647
Kathryn J GrayDepartment of Obstetrics and Gynecology, Brigham and Women's Hospital, Boston, MA, USA.ORCID 0000-0002-3541-3724
Ben M BrumptonK.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0002-3058-1059
Snehal PatilDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Sebastian ZöllnerDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Mariah C AntopiaDepartment of Integrative Biology, University of Texas at San Antonio, San Antonio, TX, USA.
Richa SaxenaProgram in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Girish N NadkarniThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0001-6319-4314
Ron DoThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0002-3144-3627
Qi YanDepartment of Obstetrics and Gynecology, Columbia University, New York, NY, USA.
Itsik Pe'erDepartment of Computer Science, Columbia University, New York, NY, USA.
Shefali Setia VermaUniversity of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0001-5216-4670
Rajat M GuptaProgram in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
David M HaasIndiana University School of Medicine, Indianapolis, IN, USA.
Hilary C MartinDepartment of Human Genetics, Wellcome Sanger Institute, Cambridge, UK.
David A van HeelBlizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.ORCID 0000-0002-0637-2265
Triin LaiskEstonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia.ORCID 0000-0003-1501-9030
Pradeep NatarajanCardiology Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA. pnatarajan@mgh.harvard.edu.ORCID 0000-0001-8402-7435
Broad Institute · USColumbia University · USIcahn School of Medicine at Mount Sinai · USNorwegian University of Science and Technology · NOUniversity of Michigan · USUniversity of Pennsylvania · USBrigham and Women's Hospital · USIndiana University School of MedicineNorth Carolina State University · USQueen Mary University of London · GBThe University of Texas at San Antonio · USUniversity of Tartu · EEWellcome Sanger Institute · GB

Funding

Polygenic Risk Scores for Diverse Populations - Bridging Research and Clinical CareR01HL151152 · NHLBI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Christy Leigh Avery, Jennifer Below · 2020 to 2026
$12.3M
Using genetic variation to study biology of blood lipids & coronary heart diseaseR01HL127564 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Pradeep Natarajan, Gina Marie Peloso · 2015 to 2026
$7.3M
Clonal hematopoiesis in the Womens Health Initiative Memory StudyR01HL148565 · NHLBI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ALEXANDER P REINER, Eric A. Whitsel · 2019 to 2026
$5.9M
Clonal hematopoiesis in humans: determinants of development and progressionR01HL148050 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI BALLANTYNE, CHRISTIE MITCHELL, NATARAJAN, PRADEEP · 2019 to 2022
$5.9M
Enabling improved applicability and transferability of polygenic scores across populationsU01HG011719 · NHGRI · MASSACHUSETTS GENERAL HOSPITAL · PI Alicia Martin · 2021 to 2026
$5.5M
Whole genome sequences in individuals to comprehensively characterize the genetic mechanisms of dyslipidemiasR01HL142711 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Satoshi Koyama, Gina Marie Peloso · 2019 to 2026
$4.7M
Towards an integrated map of causal connections for common, complex diseasesR35GM124836 · NIGMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Ron Do · 2017 to 2026
$3.9M
Elucidating hereditary transthyretin-mediated heart failure risk using machine learning, polygenic risk and recall by genotype approaches in African ancestry individualsR01HL155915 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI DO, RON, NADKARNI, GIRISH NITIN · 2021 to 2024
$3.4M
CLONAL HEMATOPOIESIS OF INDETERMINATE POTENTIAL IN CHRONIC KIDNEY DISEASE PATIENTSR01DK125782 · NIDDK · UNIVERSITY OF ILLINOIS AT CHICAGO · PI KELLY, TANIKA NICOLE · 2021 to 2025
$3.3M
Integrative omics of preeclampsia in TOPMED and maternal cardiovascular healthR01HL163234 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI SAXENA, RICHA · 2022 to 2025
$2.8M
Stress-rest calf muscle perfusion: a functional diagnostic test for peripheral arterial disease (PAD)R01HL135242 · NHLBI · UNIVERSITY OF UTAH · PI NATARAJAN, PRADEEP · 2017 to 2020
$2.8M
A genetic approach to identify the common mechanisms of vascular diseaseDP2HL152423 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI GUPTA, RAJAT M · 2019 to 2022
$2.8M
Medical Research Council G9815508Medical Research Council MC_PC_15018Medical Research Council MC_PC_19009NHGRI NIH HHS U01 HG011719NHLBI NIH HHS DP2 HL152423NHLBI NIH HHS K08 HL146963NHLBI NIH HHS K08 HL166687NHLBI NIH HHS R01 HL127564NHLBI NIH HHS R01 HL135242NHLBI NIH HHS R01 HL139865NHLBI NIH HHS R01 HL142711NHLBI NIH HHS R01 HL148050NHLBI NIH HHS R01 HL148565NHLBI NIH HHS R01 HL151152NHLBI NIH HHS R01 HL151283NHLBI NIH HHS R01 HL155915NHLBI NIH HHS R01 HL163234NHLBI NIH HHS R03 HL148483NHLBI NIH HHS R03 HL162756NHLBI NIH HHS U01 HL166060NICHD NIH HHS R01 HD101246NIDDK NIH HHS R01 DK125782NIGMS NIH HHS R01 GM147197NIGMS NIH HHS R35 GM124836NIH HHS S10 OD026880NIH HHS S10 OD030463Wellcome Trust 210561/Z/18/Z
6 · The paper itself

Abstract

Preeclampsia and gestational hypertension are common pregnancy complications associated with adverse maternal and child outcomes. Current tools for prediction, prevention and treatment are limited. Here we tested the association of maternal DNA sequence variants with preeclampsia in 20,064 cases and 703,117 control individuals and with gestational hypertension in 11,027 cases and 412,788 control individuals across discovery and follow-up cohorts using multi-ancestry meta-analysis. Altogether, we identified 18 independent loci associated with preeclampsia/eclampsia and/or gestational hypertension, 12 of which are new (for example, MTHFR-CLCN6, WNT3A, NPR3, PGR and RGL3), including two loci (PLCE1 and FURIN) identified in the multitrait analysis. Identified loci highlight the role of natriuretic peptide signaling, angiogenesis, renal glomerular function, trophoblast development and immune dysregulation. We derived genome-wide polygenic risk scores that predicted preeclampsia/eclampsia and gestational hypertension in external cohorts, independent of clinical risk factors, and reclassified eligibility for low-dose aspirin to prevent preeclampsia. Collectively, these findings provide mechanistic insights into the hypertensive disorders of pregnancy and have the potential to advance pregnancy risk stratification.

Indexed as

EclampsiaHypertensionHypertension, Pregnancy-InducedPre-EclampsiaAspirinChildFemaleHumansPregnancyRisk FactorsAspirin

Identifiers

PMID37248299
PMCPMC10330886
OpenAlexW4378649738

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.