Evidence map›Paper›PMID 30112393›Full record

ArticleBioMed research international2018

Combination of Genetic Markers and Age Effectively Facilitates the Identification of People with High Risk of Preeclampsia in the Han Chinese Population.

Lu Zhou, Xinjie Hui, Huijuan Yuan, Yinglin Liu, Yejun Wang

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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

5 authors at 4 institutions in 1 country.

Lu ZhouShenzhen Maternal and Child Health Care Hospital Affiliated to Southern Medical University, China.
Xinjie HuiDepartment of Cell Biology and Genetics, Shenzhen University Health Science Center, China.
Huijuan YuanDepartment of Immunology and Internal Rheumatics in Children's Hospital of Anhui Province, China.
Yinglin LiuLaboratory Department, Shenzhen Maternal and Child Health Hospital Affiliated to Southern Medical University, China.
Yejun WangDepartment of Cell Biology and Genetics, Shenzhen University Health Science Center, China.ORCID 0000-0003-4030-0027
Shenzhen University Health Science Center · CNAnhui Provincial Children's Hospital · CNShenzhen Maternity and Child Healthcare Hospital · CNSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to analyze the possible association between known genetic risks and preeclampsia in a Han Chinese population.

methodsA total of 156 patients with preeclampsia and 286 healthy Han Chinese women were enrolled and genotyped for 27 genetic alleles associated with preeclampsia in different populations. The association between the genotypes of the individual alleles and preeclampsia and the possible interaction among the alleles were analyzed. Finally logistic models were trained with the genotypes of possible alleles contributing to preeclampsia.

resultsSeven alleles were significantly or marginally significantly associated with preeclampsia, which involved six genes (rs4762 in

conclusionsThe genetic factors were closely associated with preeclampsia in the Han Chinese population despite large ethnicity heterogeneity. The genotypes of different alleles also had synergetic interactions.

Indexed as

Genetic MarkersGenetic Predisposition to DiseaseMaternal AgeAdultAllelesAminopeptidasesAsian PeopleChinaFemaleGene FrequencyGenotypeHumansMiddle AgedPolymorphism, Single NucleotidePre-EclampsiaPregnancyAminopeptidasesGenetic Markers

Identifiers

PMID30112393
PMCPMC6077688
OpenAlexW2882975677

What OpenQuestion holds

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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.