Evidence map›Paper›PMID 32403311›Full record

ReviewInternational journal of molecular sciences2020

A Data-Driven Review of the Genetic Factors of Pregnancy Complications.

Yury A Barbitoff, Alexander A Tsarev, Elena S Vashukova, Evgeniia M Maksiutenko, Liudmila V Kovalenko, Larisa D Belotserkovtseva, Andrey S Glotov

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
1.6field-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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  9. Extracellular Vesicles as Biomarkers of Pregnancy Complications.International journal of molecular sciences · 2024
    Review
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  18. Role ofInternational journal of reproductive biomedicine · 2022
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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

7 authors at 3 institutions in 1 country.

Yury A BarbitoffBioinformatics Institute, 197342 St. Petersburg, Russia.ORCID 0000-0002-3222-440X
Alexander A TsarevBioinformatics Institute, 197342 St. Petersburg, Russia.
Elena S VashukovaDepartment of Genomic Medicine, D.O.Ott Research Institute for Obstetrics, Gynaecology and Reproductology, 199034 St. Petersburg, Russia.
Evgeniia M MaksiutenkoDepartment of Genetics and Biotechnology, Saint-Petersburg State University, 199034 St. Petersburg, Russia.
Liudmila V KovalenkoDepartment of Pathology, Medical Institute, Surgut State University, 628416 Surgut, Russia.ORCID 0000-0001-5708-7328
Larisa D BelotserkovtsevaDepartment of Obstetrics, Gynecology and Perinatology, Medical Institute, Surgut State University, 628416 Surgut, Russia.ORCID 0000-0001-6995-4863
Andrey S GlotovDepartment of Genomic Medicine, D.O.Ott Research Institute for Obstetrics, Gynaecology and Reproductology, 199034 St. Petersburg, Russia.ORCID 0000-0002-7465-4504
St Petersburg University · RUSurgut State University · RUResearch Institute of Obstetrics and Gynecology named after D.O. Ott · RU

Funding

Russian Foundation for Basic Research 18-415-860006 r_aRussian Science Foundation 19-75-2003
6 · The paper itself

Abstract

Over the recent years, many advances have been made in the research of the genetic factors of pregnancy complications. In this work, we use publicly available data repositories, such as the National Human Genome Research Institute GWAS Catalog, HuGE Navigator, and the UK Biobank genetic and phenotypic dataset to gain insights into molecular pathways and individual genes behind a set of pregnancy-related traits, including the most studied ones-preeclampsia, gestational diabetes, preterm birth, and placental abruption. Using both HuGE and GWAS Catalog data, we confirm that immune system and, in particular, T-cell related pathways are one of the most important drivers of pregnancy-related traits. Pathway analysis of the data reveals that cell adhesion and matrisome-related genes are also commonly involved in pregnancy pathologies. We also find a large role of metabolic factors that affect not only gestational diabetes, but also the other traits. These shared metabolic genes include

Indexed as

Polymorphism, Single NucleotideDatabases, GeneticFemaleGenetic Predisposition to DiseaseGenome, HumanGenome-Wide Association StudyHumansPregnancyPregnancy ComplicationsRisk Factorsgenetic variantgenome-wide association studygestational diabetesplacental abruptionpreeclampsiapregnancy complicationspreterm birth

Identifiers

PMID32403311
PMCPMC7246997
OpenAlexW3022650120

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.