Evidence map›Paper›PMID 36933686›Full record

ArticleAmerican journal of obstetrics and gynecology2023

Genome-wide polygenic risk scores for hypertensive disease during pregnancy can also predict the risk for long-term cardiovascular disease.

Seung Mi Lee, Manu Shivakumar, Brenda Xiao, Sang-Hyuk Jung, Yonghyun Nam, Jae-Seung Yun, Eun Kyung Choe, Young Mi Jung, Sohee Oh, Joong Shin Park and 2 more

Open access · greenAbstract read
In one paragraph

Article in American journal of obstetrics and gynecology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.1field-weighted citation impact, top 7% 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

8 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Quantifying the Independent and Combined Contributions of Clinical, Genetic, Proteomic, and Metabolomic Signals to ASCVD Prediction.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2026
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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

12 authors at 3 institutions in 2 countries.

Seung Mi LeeDepartment of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, Korea; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA; Department of Obstetrics and Gynecology, Seoul National University Hospital, Seoul, Korea.
Manu ShivakumarDepartment of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Brenda XiaoDepartment of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Sang-Hyuk JungDepartment of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Yonghyun NamDepartment of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Jae-Seung YunDepartment of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA; Department of Internal Medicine, Catholic University of Korea School of Medicine, Seoul, Korea.
Eun Kyung ChoeDepartment of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA; Department of Surgery, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, Korea.
Young Mi JungDepartment of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, Korea.
Sohee OhDepartment of Biostatistics, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea.
Joong Shin ParkDepartment of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, Korea.
Jong Kwan JunDepartment of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, Korea.
Dokyoon KimDepartment of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA. Electronic address: dokyoon.kim@pennmedicine.upenn.edu.
University of Pennsylvania · USSeoul National University · KRSNUH SMG-SNU Boramae Medical Center · KR

Funding

Unravelling genetic basis of comorbidity using EHR-linked biobank dataR01GM138597 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI KIM, DOKYOON · 2020 to 2023
$2.2M
NIGMS NIH HHS R01 GM138597
6 · The paper itself

Abstract

backgroundHypertensive disorders during pregnancy are associated with the risk of long-term cardiovascular disease after pregnancy, but it has not yet been determined whether genetic predisposition for hypertensive disorders during pregnancy can predict the risk for long-term cardiovascular disease.

objectiveThis study aimed to evaluate the risk for long-term atherosclerotic cardiovascular disease according to polygenic risk scores for hypertensive disorders during pregnancy. STUDY

designAmong UK Biobank participants, we included European-descent women (n=164,575) with at least 1 live birth. Participants were divided according to genetic risk categorized by polygenic risk scores for hypertensive disorders during pregnancy (low risk, score ≤25th percentile; medium risk, score 25th∼75th percentile; high risk, score >75th percentile), and were evaluated for incident atherosclerotic cardiovascular disease, defined as the new occurrence of one of the following: coronary artery disease, myocardial infarction, ischemic stroke, or peripheral artery disease.

resultsAmong the study population, 2427 (1.5%) had a history of hypertensive disorders during pregnancy, and 8942 (5.6%) developed incident atherosclerotic cardiovascular disease after enrollment. Women with high genetic risk for hypertensive disorders during pregnancy had a higher prevalence of hypertension at enrollment. After enrollment, women with high genetic risk for hypertensive disorders during pregnancy had an increased risk for incident atherosclerotic cardiovascular disease, including coronary artery disease, myocardial infarction, and peripheral artery disease, compared with those with low genetic risk, even after adjustment for history of hypertensive disorders during pregnancy.

conclusionHigh genetic risk for hypertensive disorders during pregnancy was associated with increased risk for atherosclerotic cardiovascular disease. This study provides evidence on the informative value of polygenic risk scores for hypertensive disorders during pregnancy in prediction of long-term cardiovascular outcomes later in life.

Indexed as

Cardiovascular DiseasesCoronary Artery DiseaseHypertension, Pregnancy-InducedMyocardial InfarctionPeripheral Arterial DiseaseFemaleHumansPregnancyRisk Factorscardiovascular outcomehypertensive disease during pregnancylong-term outcomespolygenic risk scorepreeclampsia

Identifiers

PMID36933686
PMCPMC10504416
OpenAlexW4327572250

What OpenQuestion holds

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LicenceTDM
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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.