Evidence map›Paper›PMID 34946941›Full record

ArticleGenes2021

A Custom Target Next-Generation Sequencing 70-Gene Panel and Replication Study to Identify Genetic Markers of Diabetic Kidney Disease.

Sonia Mota-Zamorano, Luz María González, Nicolás Roberto Robles, José Manuel Valdivielso, Bárbara Cancho, Juan López-Gómez, Guillermo Gervasini

Abstract read
In one paragraph

Article in Genes, 2021. 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
–field-weighted citation impact
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.

  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

7 authors.

Sonia Mota-ZamoranoDepartment of Medical and Surgical Therapeutics, Institute of Molecular Pathology Biomarkers, Medical School, University of Extremadura, 06006 Badajoz, Spain.
Luz María GonzálezDepartment of Medical and Surgical Therapeutics, Institute of Molecular Pathology Biomarkers, Medical School, University of Extremadura, 06006 Badajoz, Spain.ORCID 0000-0001-8209-9435
Nicolás Roberto RoblesDepartment of Nephrology, Badajoz University Hospital, 06006 Badajoz, Spain.
José Manuel ValdivielsoVascular and Renal Translational Research Group, Unidad de Prevención y Tratamiento de Enfermedades Cardiovasculares (UDETMA), Instituto de Salud Carlos III, REDinREN, IRBLleida, 25198 Lleida, Spain.ORCID 0000-0003-1343-0184
Bárbara CanchoDepartment of Nephrology, Badajoz University Hospital, 06006 Badajoz, Spain.
Juan López-GómezService of Clinical Analyses, University Hospital, 06006 Badajoz, Spain.
Guillermo GervasiniDepartment of Medical and Surgical Therapeutics, Institute of Molecular Pathology Biomarkers, Medical School, University of Extremadura, 06006 Badajoz, Spain.ORCID 0000-0002-0524-9767

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic kidney disease (DKD) has been pointed out as a prominent cause of chronic and end-stage renal disease (ESRD). There is a genetic predisposition to DKD, although clinically relevant loci are yet to be identified. We utilized a custom target next-generation sequencing 70-gene panel to screen a discovery cohort of 150 controls, DKD and DKD-ESRD patients. Relevant SNPs for the susceptibility and clinical evolution of DKD were replicated in an independent validation cohort of 824 controls and patients. A network analysis aiming to assess the impact of variability along specific pathways was also conducted. Forty-eight SNPs displayed significantly different frequencies in the study groups. Of these, 28 with

Indexed as

AgedCohort StudiesDiabetic NephropathiesDipeptidasesFemaleGene ExpressionGene Expression ProfilingGenetic MarkersGenetic Predisposition to DiseaseGenotypeHigh-Throughput Nucleotide SequencingHumansMaleMyosin Heavy ChainsPolymorphism, Single NucleotideSpainCNDP1 protein, humanDipeptidasesGenetic MarkersMYH9 protein, humanMyosin Heavy Chainschronic kidney diseasediabetes kidney diseasesingle nucleotide polymorphisms

Identifiers

PMID34946941
PMCPMC8702126

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.