Evidence map›Paper›PMID 37383588›Full record

ReviewWorld journal of diabetes2023

Genetics of diabetes.

Shiwali Goyal, Jyoti Rani, Mohd Akbar Bhat, Vanita Vanita

Open access · diamondAbstract readReview
In one paragraph

Review in World journal of diabetes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
7.2field-weighted citation impact, top 2% 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

13 citing papers in PubMed, 36 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Genetic Predisposition to Prediabetes in the Kazakh Population.Current issues in molecular biology · 2024
    Article
  12. Association Study ofInternational journal of molecular sciences · 2024
    Article
  13. 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

4 authors at 1 institution in 1 country.

Shiwali GoyalDepartment of Ophthalmic Genetics and Visual Function Branch, National Eye Institute, Rockville, MD 20852, United States.
Jyoti RaniDepartment of Human Genetics, Guru Nanak Dev University, Amritsar 143005, Punjab, India.
Mohd Akbar BhatDepartment of Ophthalmology, Georgetown University Medical Center, Washington DC, DC 20057, United States.
Vanita VanitaDepartment of Human Genetics, Guru Nanak Dev University, Amritsar 143005, Punjab, India. vanita.humangenetics@gmail.com.
Guru Nanak Dev University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus is a complicated disease characterized by a complex interplay of genetic, epigenetic, and environmental variables. It is one of the world's fastest-growing diseases, with 783 million adults expected to be affected by 2045. Devastating macrovascular consequences (cerebrovascular disease, cardiovascular disease, and peripheral vascular disease) and microvascular complications (like retinopathy, nephropathy, and neuropathy) increase mortality, blindness, kidney failure, and overall quality of life in individuals with diabetes. Clinical risk factors and glycemic management alone cannot predict the development of vascular problems; multiple genetic investigations have revealed a clear hereditary component to both diabetes and its related complications. In the twenty-first century, technological advancements (genome-wide association studies, next-generation sequencing, and exome-sequencing) have led to the identification of genetic variants associated with diabetes, however, these variants can only explain a small proportion of the total heritability of the condition. In this review, we address some of the likely explanations for this "missing heritability", for diabetes such as the significance of uncommon variants, gene-environment interactions, and epigenetics. Current discoveries clinical value, management of diabetes, and future research directions are also discussed.

Indexed as

Common variantsGenome-wide association studiesGestational diabetes mellitusMaturity-onset diabetes of youngRare variantsType 1 diabetesType 2 diabetes

Identifiers

PMID37383588
PMCPMC10294065
OpenAlexW4380610768

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.