Evidence map›Paper›PMID 28768485›Full record

SynthesisBMC medical genetics2017

A systematic review of genetic mutations in pulmonary arterial hypertension.

Gerardo Garcia-Rivas, Carlos Jerjes-Sánchez, David Rodriguez, José Garcia-Pelaez, Victor Trevino

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in BMC medical genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 2 pooled it
7.0field-weighted citation impact, top 2% 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

39 citing papers in PubMed, 2 syntheses or guidelines pooled it, 77 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Deciphering the Tenascin-C Nexus: A Comprehensive Review of Its Involvement in Chronic Respiratory Diseases.Pathophysiology : the official journal of the International Society for Pathophysiology · 2025
    Review
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  9. Article
  10. Review
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  16. Article
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  18. Article
  19. Glucose-6-phosphate dehydrogenase deficiency contributes to metabolic abnormality and pulmonary hypertension.American journal of physiology. Lung cellular and molecular physiology · 2021
    Article
  20. Review
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 2 institutions in 1 country.

Gerardo Garcia-RivasCátedra de Cardiología y Medicina Vascular, Escuela de Medicina y Ciencias de la Salud, Tecnologico de Monterrey, Monterrey, Mexico.
Carlos Jerjes-SánchezCátedra de Cardiología y Medicina Vascular, Escuela de Medicina y Ciencias de la Salud, Tecnologico de Monterrey, Monterrey, Mexico.
David RodriguezCátedra de Cardiología y Medicina Vascular, Escuela de Medicina y Ciencias de la Salud, Tecnologico de Monterrey, Monterrey, Mexico.
José Garcia-PelaezCátedra de Bioinformática, Escuela de Medicina y Ciencias de la Salud, Tecnologico de Monterrey, Av Morones Prieto No. 3000 Colonia Los Doctores, 64710, Monterrey, Nuevo León, Mexico.
Victor TrevinoCátedra de Bioinformática, Escuela de Medicina y Ciencias de la Salud, Tecnologico de Monterrey, Av Morones Prieto No. 3000 Colonia Los Doctores, 64710, Monterrey, Nuevo León, Mexico. vtrevino@itesm.mx.ORCID 0000-0002-7472-9844
Tecnológico de Monterrey · MXHospital Zambrano Hellion · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPulmonary arterial hypertension (PAH) is a group of vascular diseases that produce right ventricular dysfunction, heart failure syndrome, and death. Although the majority of patients appear idiopathic, accumulated research work combined with current sequencing technology show that many gene variants could be an important component of the disease. However, current guidelines, clinical practices, and available gene panels focus the diagnosis of PAH on a relatively low number of genes and variants associated with the bone morphogenic proteins and transforming Growth Factor-β pathways, such as the BMPR2, ACVRL1, CAV1, ENG, and SMAD9.

methodsTo provide an expanded view of the genes and variants associated with PAH, we performed a systematic literature review. Facilitated by a web tool, we classified, curated, and annotated most of the genes and PubMed abstracts related to PAH, in which many of the mutations and variants were not annotated in public databases such as ClinVar from NCBI. The gene list generated was compared with other available tests.

resultsOur results reveal that there is genetic evidence for at least 30 genes, of which 21 genes shown specific mutations. Most of the genes are not covered by current available genetic panels. Many of these variants were not annotated in the ClinVar database and a mapping of these mutations suggest that next generation sequencing is needed to cover all mutations found in PAH or related diseases. A pathway analysis of these genes indicated that, in addition to the BMP and TGFβ pathways, there was connections with the nitric oxide, prostaglandin, and calcium homeostasis signalling, which may be important components in PAH.

conclusionOur systematic review proposes an expanded gene panel for more accurate characterization of the genetic incidence and risk in PAH. Their usage would increase the knowledge of PAH in terms of genetic counseling, early diagnosis, and potential prognosis of the disease.

Indexed as

Bone Morphogenetic ProteinsDatabases, GeneticHumansHypertension, PulmonaryMutationRiskSignal TransductionTransforming Growth Factor betaBone Morphogenetic ProteinsTransforming Growth Factor betaGenetic panelGerm-line mutationHeterozygote detectionSystematic review

Identifiers

PMID28768485
PMCPMC5541665
OpenAlexW2740127513

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.