Evidence map›Paper›PMID 33426398›Full record

ArticleKidney international reports2021

Comprehensive Review of Steroid-Sensitive Nephrotic Syndrome Genetic Risk Loci and Transcriptional Regulation as a Possible Mechanistic Link to Disease Risk.

Hillarey K Stone, Sreeja Parameswaran, Amy A Eapen, Xiaoting Chen, John B Harley, Prasad Devarajan, Matthew T Weirauch, Leah Kottyan

Open access · goldAbstract read
In one paragraph

Article in Kidney international reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 32% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. 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

8 authors at 3 institutions in 1 country.

Hillarey K StoneDivision of Nephrology and Hypertension, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Sreeja ParameswaranDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.
Amy A EapenDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.
Xiaoting ChenDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.
John B HarleyDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.
Prasad DevarajanDivision of Nephrology and Hypertension, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Matthew T WeirauchDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.
Leah KottyanDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.
Cincinnati Children's Hospital Medical Center · USUniversity of Cincinnati Medical Center · USVeterans Health Administration · US

Funding

Proteomics CoreP50DK096418 · NIDDK · CINCINNATI CHILDRENS HOSP MED CTR · PI DEVARAJAN, PRASAD · 2012 to 2021
$8.4M
RESEARCH TRAINING IN PEDIATRIC NEPHROLOGYT32DK007695 · NIDDK · CINCINNATI CHILDRENS HOSP MED CTR · PI DEVARAJAN, PRASAD · 1992 to 2023
$2.2M
NIDDK NIH HHS P50 DK096418
6 · The paper itself

Abstract

introductionThe etiology of steroid-sensitive nephrotic syndrome (SSNS) is not well understood. Genetic studies have established common single nucleotide polymorphisms (SNPs) that are associated with increased SSNS disease risk. We review previous genetic association studies of SSNS and nominate particular transcriptional regulators and immune cells as potential key players in the etiology of this disease.

methodsA list of SNPs associated with SSNS was compiled from published genome wide association and candidate gene studies. The Regulatory Element Locus Intersection (RELI) tool was used to calculate the enrichment of the overlap between disease risk SNPs and the genomic coordinates of data from a collection of >10,000 chromatin immunoprecipitation sequencing experiments.

resultsAfter linkage disequilibrium expansion of the previously reported tag associated SNPs, we identified 192 genetic variants at 8 independent risk loci. Using the Regulatory Element Locus Intersection algorithm, we identified transcriptional regulators with enriched binding at SSNS risk loci (10

conclusionSSNS is a complex disease, and immune dysregulation has been previously implicated as a potential underlying cause. This assessment of established SSNS risk loci and analysis of possible function implicates transcriptional dysregulation, and specifically particular transcriptional regulators with known roles in the immune response, as important in the genetic etiology of SSNS.

Indexed as

geneticspediatricssteroid sensitive nephrotic syndrometranscription factors

Identifiers

PMID33426398
PMCPMC7783560
OpenAlexW3093251670

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.