Evidence map›Paper›PMID 24593135›Full record

ArticleBMC medical genetics2014

Hypertension after preeclampsia and relation to the C1114G polymorphism (rs4606) in RGS2: data from the Norwegian HUNT2 study.

Anne Stine Kvehaugen, Øyvind Melien, Oddgeir L Holmen, Hannele Laivuori, Ralf Dechend, Anne Cathrine Staff

Open access · goldAbstract read
In one paragraph

Article in BMC medical genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

15 citing papers in PubMed, 26 citations in OpenAlex.

  1. Anti-angiogenic mechanisms and serotonergic dysfunction in the Rgs2 knockout model for the study of psycho-obstetric risk.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Article
  2. Article
  3. RGS2 and female common diseases: a guard of women's health.Journal of translational medicine · 2023
    Review
  4. Review
  5. Article
  6. Article
  7. The Serotonin-Immune Axis in Preeclampsia.Current hypertension reports · 2021
    Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Vasopressin: the missing link for preeclampsia?American journal of physiology. Regulatory, integrative and comparative physiology · 2015
    Review
  15. Regulator of G Protein Signaling 2: A Versatile Regulator of Vascular Function.Progress in molecular biology and translational science · 2015
    Review
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors at 6 institutions in 3 countries.

Anne Stine Kvehaugen
Øyvind Melien
Oddgeir L Holmen
Hannele Laivuori
Ralf Dechend
Anne Cathrine StaffFrom the Department of Obstetrics and Department of Gynecology, Oslo University Hospital, Ulleval, Oslo, Norway and Faculty of Medicine, University of Oslo, Oslo, Norway. UXNNAF@ous-hf.no.
Charité - Universitätsmedizin Berlin · DENorwegian Directorate of Health · NONorwegian University of Science and Technology · NOOslo University Hospital · NOUniversity of Helsinki · FIUniversity of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPreeclampsia is associated with an increased risk of hypertension later in life. The regulator of G protein signaling 2 negatively regulates several vasoconstrictors. We recently demonstrated an association between preeclampsia and the CG or GG genotype of the C1114G polymorphism (rs4606) of the regulator of G protein signaling 2 gene. Here, we examined the polymorphism with respect to the development of hypertension after pregnancy.

methodsWe genotyped 934 women on average 15.1 years after preeclampsia and 2011 age matched women with previous normotensive pregnancy. All women in this study were retrospectively recruited from the Nord-Trøndelag Health Study (HUNT2). Information from HUNT2 was linked to the Medical Birth Registry of Norway to identify women with a history of preeclampsia and women without a history of preeclampsia.

resultsNo significant association was found between hypertension (blood pressure ≥140/90 mmHg and/or taking antihypertensive drugs) and the polymorphism in crude analysis (OR (95% CI): CG genotype: 1.07 (0.90-1.27); GG genotype: 1.23 (0.90-1.67)). However, in a minimally adjusted model (age and BMI adjusted), a significant association between the GG genotype and hypertension was found (OR (95% CI): 1.49 (1.05-2.11)). This association remained significant also after adjustment for a history of preeclampsia (OR (95% CI): 1.46 (1.02-2.09)), but not in a model adjusted for multiple other variables (OR (95% CI): 1.26 (0.82-1.94)). In multivariate, but not in crude, analysis, the GG genotype of rs4606 (OR (95% CI): 1.93 (1.05-3.53)) was significantly and independently associated with severe hypertension later in life, defined as systolic blood pressure ≥160 mmHg (stage 2 hypertension) and/or taking antihypertensive drugs. A significant association was also found for the merged CG and GG genotypes (OR (95% CI): 1.43 (1.02-2.00)). Moreover, an interaction with physical activity was found. A history of preeclampsia was a significant and independent predictor of either definition of hypertension, both in crude and adjusted analyses.

conclusionWomen carrying the rs4606 CG or GG genotype are at elevated risk for developing hypertension after delivery. Physical activity may interact with the association. Preeclampsia remains an independent risk factor for subsequent hypertension after adjusting for this polymorphism and classical CVD risk factors.

Indexed as

Polymorphism, Single NucleotideAdultCase-Control StudiesExerciseFemaleGenetic Association StudiesGenetic Predisposition to DiseaseGenotypeHumansHypertensionNorwayPre-EclampsiaPregnancyPrevalenceRGS ProteinsRisk FactorsRGS2 protein, humanRGS Proteins

Identifiers

PMID24593135
PMCPMC3973870
OpenAlexW2037025027

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LicenceCC BY
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Registered trials

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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.