Evidence map›Paper›PMID 25031655›Full record

ArticleJournal of genomics2013

Obesity gene atlas in mammals.

Tanja Kunej, Dasa Jevsinek Skok, Minja Zorc, Ana Ogrinc, Jennifer J Michal, Milena Kovac, Zhihua Jiang

Open access · goldAbstract read
In one paragraph

Article in Journal of genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
4.6field-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

39 citing papers in PubMed, 71 citations in OpenAlex.

  1. Review
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  3. Article
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  7. Article
  8. Review
  9. Article
  10. Precision Nutrition: Recent Advances in Obesity.Physiology (Bethesda, Md.) · 2023
    Review
  11. Review
  12. Review
  13. Article
  14. Epigenetic regulation of energy metabolism in obesity.Journal of molecular cell biology · 2021
    Review
  15. Non-Coding RNAs: Novel Players in Insulin Resistance and Related Diseases.International journal of molecular sciences · 2021
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

7 authors at 3 institutions in 3 countries.

Tanja Kunej1. Department of Animal Science, Biotechnical Faculty, University of Ljubljana, Domzale, Slovenia;
Dasa Jevsinek Skok1. Department of Animal Science, Biotechnical Faculty, University of Ljubljana, Domzale, Slovenia;
Minja Zorc1. Department of Animal Science, Biotechnical Faculty, University of Ljubljana, Domzale, Slovenia; ; 2. Centre for Mathematical and Computational Biology, Rothamsted Research, Harpenden, Herts, AL5, 2JQ, UK;
Ana Ogrinc1. Department of Animal Science, Biotechnical Faculty, University of Ljubljana, Domzale, Slovenia;
Jennifer J Michal3. Department of Animal Sciences, Washington State University, Pullman, Washington 99164-6351, USA.
Milena Kovac1. Department of Animal Science, Biotechnical Faculty, University of Ljubljana, Domzale, Slovenia;
Zhihua Jiang3. Department of Animal Sciences, Washington State University, Pullman, Washington 99164-6351, USA.
Biotechnical Educational Centre Ljubljana · SIWashington State University · USUniversity of Ljubljana · SI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity in humans has increased at an alarming rate over the past two decades and has become one of the leading public health problems worldwide. Studies have revealed a large number of genes/markers that are associated with obesity and/or obesity-related phenotypes, indicating an urgent need to develop a central database for helping the community understand the genetic complexity of obesity. In the present study, we collected a total of 1,736 obesity associated loci and created a freely available obesity database, including 1,515 protein-coding genes and 221 microRNAs (miRNAs) collected from four mammalian species: human, cattle, rat, and mouse. These loci were integrated as orthologs on comparative genomic views in human, cattle, and mouse. The database and genomic views are freely available online at: http://www.integratomics-time.com/fat_deposition. Bioinformatics analyses of the collected data revealed some potential novel obesity related molecular markers which represent focal points for testing more targeted hypotheses and designing experiments for further studies. We believe that this centralized database on obesity and adipogenesis will facilitate development of comparative systems biology approaches to address this important health issue in human and their potential applications in animals.

Indexed as

adipogenesisfat depositionintegratomicsmammalsmicroRNA (miRNA)obesity.

Identifiers

PMID25031655
PMCPMC4091431
OpenAlexW2164076921

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.