Evidence map›Paper›PMID 24129556›Full record

ReviewClinical and experimental nephrology2014

Genetic associations in diabetic nephropathy.

Antien L Mooyaart

Abstract readReview
PubMed Publisher
In one paragraph

Review in Clinical and experimental nephrology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 15% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. The Role of ERRFI1+808T/G Polymorphism in Diabetic Nephropathy.International journal of molecular and cellular medicine · 2019
    Article
  10. Article
  11. Article
  12. The Prevalence and Management of Diabetic Nephropathy in Asia.Kidney diseases (Basel, Switzerland) · 2015
    Review
  13. Article
  14. Diabetic nephropathy - complications and treatment.International journal of nephrology and renovascular disease · 2014
    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

1 author at 1 institution in 1 country.

Antien L MooyaartDepartment of Pathology, Leiden University Medical Center, Bldg.1, L1-Q, PO Box 9600, 2300 RC, Leiden, The Netherlands, a.l.mooyaart@lumc.nl.
Leiden University Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic nephropathy is a complex disease, caused by both environmental and genetic factors. As in most complex diseases, genetic association studies in diabetic nephropathy showed inconsistent results. In retrospect, studies with small sample sizes, given what are now known to be small odds ratios, were partially responsible for this poor replication record. Furthermore, the low prior probability in complex genetics and multiple testing played a role. Results become more consistent when one only considers those that were replicated. In a large meta-analysis study including only replicated associated genetic variants, 24 genetic variants in 16 genes were found to be associated with diabetic nephropathy. These genetic variants may provide novel biological insight. In particular, rare variants with a large effect found by hypothesis-free approaches (genome-wide association scans, next-generation sequencing) may open new avenues of discovery.

Indexed as

Cholesterol, HDLDiabetes Mellitus, Type 2Diabetic NephropathiesGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPolymorphism, Single NucleotideCholesterol, HDL

Identifiers

PMID24129556
OpenAlexW2031750639

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.