Evidence map›Paper›PMID 30761081›Full record

ArticleFrontiers in endocrinology2019

A Perception on Genome-Wide Genetic Analysis of Metabolic Traits in Arab Populations.

Prashantha Hebbar, Jehad Ahmed Abubaker, Mohamed Abu-Farha, Jaakko Tuomilehto, Fahd Al-Mulla, Thangavel Alphonse Thanaraj

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Editorial: Diabetes in the Middle East.Frontiers in endocrinology · 2021
    Article
  9. Article
  10. Review
  11. Article
  12. 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

6 authors at 2 institutions in 2 countries.

Prashantha HebbarGenetics and Bioinformatics Unit, Dasman Diabetes Institute, Kuwait City, Kuwait.
Jehad Ahmed AbubakerGenetics and Bioinformatics Unit, Dasman Diabetes Institute, Kuwait City, Kuwait.
Mohamed Abu-FarhaGenetics and Bioinformatics Unit, Dasman Diabetes Institute, Kuwait City, Kuwait.
Jaakko TuomilehtoGenetics and Bioinformatics Unit, Dasman Diabetes Institute, Kuwait City, Kuwait.
Fahd Al-MullaGenetics and Bioinformatics Unit, Dasman Diabetes Institute, Kuwait City, Kuwait.
Thangavel Alphonse ThanarajGenetics and Bioinformatics Unit, Dasman Diabetes Institute, Kuwait City, Kuwait.
Dasman Diabetes Institute · KWUniversity of Helsinki · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite dedicated nation-wide efforts to raise awareness against the harmful effects of fast-food consumption and sedentary lifestyle, the Arab population continues to struggle with an increased risk for metabolic disorders. Unlike the European population, the Arab population lacks well-established genetic risk determinants for metabolic disorders, and the transferability of established risk loci to this population has not been satisfactorily demonstrated. The most recent findings have identified over 240 genetic risk loci (with ~400 independent association signals) for type 2 diabetes, but thus far only 25 risk loci (

Indexed as

Arab populationepigeneticsEuro-centric risk variantsgeneticsgenome-wide association studiesKuwaitrisk locitype 2 diabetes

Identifiers

PMID30761081
PMCPMC6362414
OpenAlexW2915061501

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.