Evidence map›Paper›PMID 32295293›Full record

ReviewInternational journal of molecular sciences2020

Genotypes and Phenotypes: A Search for Influential Genes in Diabetic Retinopathy.

Andrea P Cabrera, Rushi N Mankad, Lauren Marek, Ryan Das, Sampath Rangasamy, Finny Monickaraj, Arup Das

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 5% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. The relationship between ON-OFF function and OCT structural and angiographic parameters in early diabetic retinal disease.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Association between theOpen life sciences · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Animal models of diabetic retinopathy.Annals of translational medicine · 2021
    Review
  16. Review
  17. Systemic diseases and the cornea.Experimental eye research · 2021
    Review
  18. The emerging role of extracellular vesicles in retinal diseases.American journal of translational research · 2021
    Review
  19. Article
  20. 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 at 2 institutions in 1 country.

Andrea P CabreraDepartment of Surgery, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA.
Rushi N MankadDepartment of Surgery, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA.
Lauren MarekDepartment of Surgery, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA.
Ryan DasDepartment of Surgery, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA.
Sampath RangasamyTranslational & Genomics Research Institute, Phoenix, AZ 85004, USA.ORCID 0000-0003-2151-9162
Finny MonickarajDepartment of Surgery, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA.
Arup DasDepartment of Surgery, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA.
University of New Mexico · USTranslational Genomics Research Institute · US

Funding

Novel Biomarkers and Genetics of Diabetic RetinopathyR01EY028606 · NEI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI DAS, ARUP · 2018 to 2022
$2.8M
NEI NIH HHS R01 EY028606NIH HHS 1R01EY028606-01A1
6 · The paper itself

Abstract

Although gene-environment interactions are known to play an important role in the inheritance of complex traits, it is still unknown how a genotype and the environmental factors result in an observable phenotype. Understanding this complex interaction in the pathogenesis of diabetic retinopathy (DR) remains a big challenge as DR appears to be a disease with heterogenous phenotypes with multifactorial influence. In this review, we examine the natural history and risk factors related to DR, emphasizing distinct clinical phenotypes and their natural course in retinopathy. Although there is strong evidence that duration of diabetes and metabolic factors play a key role in the pathogenesis of DR, accumulating new clinical studies reveal that this disease can develop independently of duration of diabetes and metabolic dysfunction. More recently, studies have emphasized the role of genetic factors in DR. However, linkage analyses, candidate gene studies, and genome-wide association studies (GWAS) have not produced any statistically significant results. Our recently initiated genomics study, the Diabetic Retinopathy Genomics (DRGen) Study, aims to examine the contribution of rare and common variants in the development DR, and how they can contribute to clinical phenotype, rate of progression, and response to available therapies. Our preliminary findings reveal a novel set of genetic variants associated with proangiogenic and inflammatory pathways that may contribute to DR pathogenesis. Further investigation of these variants is necessary and may lead to development of novel biomarkers and new therapeutic targets in DR.

Indexed as

Genetic Association StudiesGenetic Predisposition to DiseaseGenotypePhenotypeAnimalsBiological Variation, PopulationChromosome MappingDiabetic NephropathiesDiabetic RetinopathyDisease ProgressionGenetic VariationGenomicsHumansMultifactorial InheritanceSeverity of Illness Indexdiabetesdiabetic retinopathygenomicsgenotypephenotype

Identifiers

PMID32295293
PMCPMC7215289
OpenAlexW3017271044

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.