Evidence map›Paper›PMID 25048417›Full record

ArticleThe pharmacogenomics journal2015

Therapeutic implications of novel mutations of the RFX6 gene associated with early-onset diabetes.

R Artuso, A Provenzano, B Mazzinghi, L Giunti, V Palazzo, E Andreucci, A Blasetti, R M Chiuri, F E Gianiorio, P Mandich and 3 more

Abstract readCase Reports
PubMed Publisher
In one paragraph

Article in The pharmacogenomics journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

12 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Review
  3. MODY Only Monogenic? A Narrative Review of theInternational journal of molecular sciences · 2024
    Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

13 authors at 5 institutions in 1 country.

R ArtusoMedical Genetics Unit, Meyer Children's University Hospital, Florence, Italy.
A ProvenzanoMedical Genetics Unit, Department of Clinical and Experimental Biomedical Sciences 'Mario Serio', University of Florence, Florence, Italy.
B MazzinghiMedical Genetics Unit, Meyer Children's University Hospital, Florence, Italy.
L GiuntiMedical Genetics Unit, Meyer Children's University Hospital, Florence, Italy.
V PalazzoMedical Genetics Unit, Department of Clinical and Experimental Biomedical Sciences 'Mario Serio', University of Florence, Florence, Italy.
E AndreucciMedical Genetics Unit, Meyer Children's University Hospital, Florence, Italy.
A BlasettiDepartment of Pediatrics, University of Chieti, Chieti, Italy.
R M ChiuriDepartment of Pediatrics, University of Chieti, Chieti, Italy.
F E GianiorioDINOGMI, University of Genoa, Genova, Italy.
P MandichDINOGMI, University of Genoa, Genova, Italy.
M MonamiSection of Geriatric Cardiology and Medicine, Department of Cardiovascular Medicine, Careggi Hospital, Florence, Italy.
E MannucciDiabetes Agency, Careggi Hospital, Florence, Italy.
S Giglio1] Medical Genetics Unit, Meyer Children's University Hospital, Florence, Italy [2] Medical Genetics Unit, Department of Clinical and Experimental Biomedical Sciences 'Mario Serio', University of Florence, Florence, Italy [3] FiorGen Foundation for Pharmacogenomics, Sesto Fiorentino, Italy.
Meyer Children's Hospital · ITUniversity of Florence · ITAzienda Ospedaliero-Universitaria Careggi · ITUniversity of Chieti-Pescara · ITUniversity of Genoa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identification of the genetic defect underlying early-onset diabetes is important for determining the specific diabetes subtype, which would then permit appropriate treatment and accurate assessment of recurrence risk in offspring. Given the extensive genetic and clinical heterogeneity of the disease, high-throughput sequencing might provide additional diagnostic potential when Sanger sequencing is ineffective. Our aim was to develop a targeted next-generation assay able to detect mutations in several genes involved in glucose metabolism. All 13 known MODY genes, genes identified from a genome-wide linkage study or genome-wide association studies as increasing the risk of type 2 diabetes and genes causing diabetes in animal models, were included in the custom panel. We selected a total of 102 genes by performing a targeting re-sequencing in 30 patients negative for mutations in the GCK, HNF1α, HNF4α, HNF1β and IPF1 genes at the Sanger sequencing analysis. Previously unidentified variants in the RFX6 gene were found in three patients and in two of them we also detected rare variants in WFS1 and ABCC8 genes. All patients showed a good therapeutic response to dipeptidyl peptidase-4 (DPP4) inhibitors. Our study reveals that next-generation sequencing provides a highly sensitive method for identification of variants in new causative genes of diabetes. This approach may help in understanding the molecular etiology of diabetes and in providing more personalized treatment for each genetic subtype.

Indexed as

AdolescentAdultChildChild, PreschoolDiabetes MellitusDipeptidyl-Peptidase IV InhibitorsDNA-Binding ProteinsFemaleGenetic Association StudiesHumansInfantMaleMutationPedigreeRegulatory Factor X Transcription FactorsTranscription FactorsDipeptidyl-Peptidase IV InhibitorsDNA-Binding ProteinsRegulatory Factor X Transcription FactorsRfx6 protein, humanTranscription Factors

Identifiers

PMID25048417
OpenAlexW2021310701

What OpenQuestion holds

Textmetadata
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.