Evidence map›Paper›PMID 31376092›Full record

ArticleJournal of endocrinological investigation2020

Genetic interaction analysis of VEGF-A rs3025039 and VEGFR-2 rs2071559 identifies a genetic profile at higher risk to develop nodular goiter.

A Molinaro, P Orlandi, F Niccolai, P Agretti, G De Marco, E Ferrarini, C Di Cosmo, P Vitti, P Piaggi, T Di Desidero and 2 more

Abstract read
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In one paragraph

Article in Journal of endocrinological investigation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Mechanism Study on Chinese Medicine in Treatment of Nodular Goiter.Chinese journal of integrative medicine · 2023
    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

12 authors at 3 institutions in 1 country.

A MolinaroDepartment of Clinical and Experimental Medicine, Endocrinology Section, University of Pisa, Via Paradisa 2, Cisanello, 56124, Pisa, Italy.
P OrlandiDepartment of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
F NiccolaiDepartment of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
P AgrettiLaboratory of Chemistry and Endocrinology, University Hospital of Pisa, Pisa, Italy.
G De MarcoDepartment of Clinical and Experimental Medicine, Endocrinology Section, University of Pisa, Via Paradisa 2, Cisanello, 56124, Pisa, Italy.
E FerrariniDepartment of Clinical and Experimental Medicine, Endocrinology Section, University of Pisa, Via Paradisa 2, Cisanello, 56124, Pisa, Italy.
C Di CosmoDepartment of Clinical and Experimental Medicine, Endocrinology Section, University of Pisa, Via Paradisa 2, Cisanello, 56124, Pisa, Italy.
P VittiDepartment of Clinical and Experimental Medicine, Endocrinology Section, University of Pisa, Via Paradisa 2, Cisanello, 56124, Pisa, Italy.
P PiaggiDepartment of Energy and Systems Engineering, University of Pisa, Pisa, Italy.
T Di DesideroDepartment of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
G BocciDepartment of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
M TonaccheraDepartment of Clinical and Experimental Medicine, Endocrinology Section, University of Pisa, Via Paradisa 2, Cisanello, 56124, Pisa, Italy. mtonacchera@hotmail.com.
University of Pisa · ITOspedale Cisanello · ITAzienda Ospedaliera Universitaria Pisana · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextNodular goiter in patients from areas of iodine deficiency is due to the growth of follicular and endothelial cells, involving different vascular-related growth factors in its pathogenesis.

objectiveThe aim of our study was to examine the association of known single polymorphisms of vascular endothelial growth factor-A [VEGF-A], VEGF receptor-2 [VEGFR-2] and hypoxia-inducible factor-1α [HIF-1α] genes or their genetic interactions with the risk of nodular goiter development. PATIENTS AND

methods116 normal subjects, without any thyroid disease, and 108 subjects with nodular goiter [subjects with goiter and at least one thyroid nodule of > 1 cm of maximum size and in absence of signs of autoimmunity] were selected from a homogeneous population living in a mild iodine deficiency geographic area. Analyses were performed on germline DNA obtained from blood samples and VEGF-A rs3025039, VEGFR-2 rs2071559, and HIF-1αrs11549465 SNPs were investigated by real-time PCR technique. The multifactor dimensionality reduction [MDR] methodology was applied to investigate the genetic interaction between SNPs. Hardy-Weinberg equilibrium was performed.

resultsNone of the studied polymorphisms were individually associated with a higher risk to develop nodular goiter [P > 0.05]. The combination of the VEGF-A rs3025039 and VEGFR-2 rs2071559 polymorphisms had the highest accuracy of 0.58 [P = 0.018] and the interaction of some genotypes was significantly associated with the risk of nodular goiter development.

conclusionsOur results support a genetic interaction between the VEGF-A rs3025039 and VEGFR-2 rs2071559 polymorphisms as a predictor of the risk to develop nodular goiter in subjects coming from an area with mild iodine deficiency.

Indexed as

Genetic ProfileAdultAgedEpistasis, GeneticFemaleGenetic Predisposition to DiseaseGoiter, NodularHumansItalyMaleMiddle AgedRisk FactorsVascular Endothelial Growth Factor AVascular Endothelial Growth Factor Receptor-2KDR protein, humanVascular Endothelial Growth Factor AVascular Endothelial Growth Factor Receptor-2VEGFA protein, humanGenetic interaction analysisGoiterHIF-1αMultifactor dimensionality reduction methodologyPolymorphismsVEGFVEGFR-2

Identifiers

PMID31376092
OpenAlexW2965968936

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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.