Evidence map›Paper›PMID 26110315›Full record

ReviewGenes2015

Genetics of Type 2 Diabetes and Clinical Utility.

Rajkumar Dorajoo, Jianjun Liu, Bernhard O Boehm

Abstract readReview
In one paragraph

Review in Genes, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. The Role of Epigenetics in Type 1 Diabetes.Current diabetes reports · 2017
    Review
  10. Article
  11. Childhood type 2 diabetes: Risks and complications.Experimental and therapeutic medicine · 2016
    Article
  12. Article
  13. When Is a Disease a "Disease"?Integrative medicine (Encinitas, Calif.) · 2015
    Article
  14. 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

3 authors.

Rajkumar DorajooGenome Institute of Singapore, Agency for Science, Technology and Research, 138672, Singapore. dorajoor@gis.a-star.edu.sg.
Jianjun LiuGenome Institute of Singapore, Agency for Science, Technology and Research, 138672, Singapore. liuj3@gis.a-star.edu.sg.
Bernhard O BoehmGenome Institute of Singapore, Agency for Science, Technology and Research, 138672, Singapore. Bernhard.boehm@ntu.edu.sg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A large proportion of heritability of type 2 diabetes (T2D) has been attributed to inherent genetics. Recent genetic studies, especially genome-wide association studies (GWAS), have identified a multitude of variants associated with T2D. It is thus reasonable to question if these findings may be utilized in a clinical setting. Here we briefly review the identification of risk loci for T2D and discuss recent efforts and propose future work to utilize these loci in clinical setting-for the identification of individuals who are at particularly high risks of developing T2D and for the stratification of specific health-care approaches for those who would benefit most from such interventions.

Indexed as

clinical utilitygeneticstype 2 diabetes

Identifiers

PMID26110315
PMCPMC4488669

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.