Evidence map›Paper›PMID 15356674›Full record

ArticleGenes and immunity2004

Cis-acting effect of the IL1B C-31T polymorphism on IL-1 beta mRNA expression.

R Kimura, T Nishioka, A Soemantri, T Ishida

Abstract read
PubMed Publisher
In one paragraph

Article in Genes and immunity, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

20 citing papers in PubMed, 50 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Mouse models for gastric cancer: Matching models to biological questions.Journal of gastroenterology and hepatology · 2016
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Variation in IL10 and other genes involved in the immune response and in oxidation and prostate cancer recurrence.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2012
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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 2 institutions in 2 countries.

R KimuraUnit of Human Biology and Genetics, Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.
T Nishioka
A Soemantri
T Ishida
The University of Tokyo · JPDiponegoro University · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the effect of IL1B polymorphisms on IL-1beta production is still controversial, we selected two polymorphisms to test their cis-acting effect on IL-1beta mRNA expression by means of the allele-specific transcript quantification and the haplotype analysis. As for the C-31T polymorphism, we found that expression of the -31T allele was 2.2 times of the -31C allele. This higher transcription efficiency may correspond to the fact that C-31T is located in a TATA box. The other polymorphism, C+3954T, did not alter the levels of transcription. The use of the allele-specific transcript quantification enables us to exclude trans-acting effects of polymorphisms on the gene expression and contributes to understanding the roles of the IL1B polymorphisms in susceptibility to multifactorial diseases.

Indexed as

Genetic Complementation TestCell LineConfidence IntervalsGene Expression RegulationHumansInterleukin-1Polymorphism, GeneticRNA, MessengerStatistics, NonparametricInterleukin-1RNA, Messenger

Identifiers

PMID15356674
OpenAlexW1576694462

What OpenQuestion holds

Textmetadata
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.