Evidence map›Paper›PMID 30816281›Full record

ArticleScientific reports2019

Integrative Analysis Revealing Human Adipose-Specific Genes and Consolidating Obesity Loci.

Jinsoo Ahn, Huiguang Wu, Kichoon Lee

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Integrative phytochemical profiling andFrontiers in nutrition · 2026
    Article
  6. Article
  7. Article
  8. Article
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  11. Article
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  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. A novel testis-enriched gene,Frontiers in cell and developmental biology · 2022
    Article
  19. Retinol Binding Protein 7 Promotes AdipogenesisFrontiers in cell and developmental biology · 2022
    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

3 authors.

Jinsoo AhnDepartment of Animal Sciences, The Ohio State University, Columbus, OH, 43210, USA.
Huiguang WuDepartment of Animal Sciences, The Ohio State University, Columbus, OH, 43210, USA.
Kichoon LeeDepartment of Animal Sciences, The Ohio State University, Columbus, OH, 43210, USA. lee.2626@osu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identification of adipose-specific genes has contributed to an understanding of mechanisms underlying adipocyte development and obesity. Herein, our analyses of the recent Genotype-Tissue Expression (GTEx) database revealed 38 adipose-specific/enhanced protein coding genes, among which 3 genes were novel adipose-specific, and 414 highly differentially expressed genes (DEGs) between subcutaneous and omental adipose depots. By integrative analyses of genome-wide association studies (GWASs), 14 adipose-specific/enhanced genes and 60 DEGs were found to be associated with obesity-related traits and diseases, consolidating evidence for contribution of these genes to the regional fat distribution and obesity phenotypes. In addition, expression of HOXC cluster was up-regulated in subcutaneous adipose tissue, and the majority of the HOXB cluster was expressed highly in omental adipose tissue, indicating differential expression patterns of HOX clusters in adipose depots. Our findings on the distinct gene expression profiles in adipose tissue and their relation to obesity provide an important foundation for future functional biological studies and therapeutic targets in obesity and associated diseases.

Indexed as

Genome-Wide Association StudyAbdominal FatAdipocytesDatasets as TopicGenes, HomeoboxGenetic LociHomeodomain ProteinsHumansObesityOmentumSubcutaneous FatTranscriptomeHomeodomain Proteins

Identifiers

PMID30816281
PMCPMC6395763

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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.