Evidence map›Paper›PMID 26927695›Full record

ArticleScientific reports2016

Significant impact of miRNA-target gene networks on genetics of human complex traits.

Yukinori Okada, Tomoki Muramatsu, Naomasa Suita, Masahiro Kanai, Eiryo Kawakami, Valentina Iotchkova, Nicole Soranzo, Johji Inazawa, Toshihiro Tanaka

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Observational
  10. Review
  11. Article
  12. Review
  13. Review
  14. Review
  15. Review
  16. Review
  17. Article
  18. miRNA contributions to pediatric-onset multiple sclerosis inferred from GWAS.Annals of clinical and translational neurology · 2019
    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

9 authors at 3 institutions in 2 countries.

Yukinori OkadaDepartment of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo 113-8510, Japan.
Tomoki MuramatsuDepartment of Molecular Cytogenetics, Medical Research Institute and Graduate School of Medical and Dental Science, Tokyo Medical and Dental University, Tokyo 113-8510, Japan.
Naomasa SuitaDepartment of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo 113-8510, Japan.
Masahiro KanaiDepartment of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo 113-8510, Japan.
Eiryo KawakamiLaboratory for Disease Systems Modeling, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan.
Valentina IotchkovaHuman Genetics, Wellcome Trust Sanger Institute, Genome Campus, Hinxton, CB10 1HH, UK.
Nicole SoranzoHuman Genetics, Wellcome Trust Sanger Institute, Genome Campus, Hinxton, CB10 1HH, UK.
Johji InazawaDepartment of Molecular Cytogenetics, Medical Research Institute and Graduate School of Medical and Dental Science, Tokyo Medical and Dental University, Tokyo 113-8510, Japan.
Toshihiro TanakaDepartment of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo 113-8510, Japan.
Tokyo Medical and Dental University · JPRIKEN Center for Integrative Medical Sciences · JPWellcome Sanger Institute · GB

Funding

Wellcome TrustWellcome Trust WT091310Wellcome Trust WT098051
6 · The paper itself

Abstract

The impact of microRNA (miRNA) on the genetics of human complex traits, especially in the context of miRNA-target gene networks, has not been fully assessed. Here, we developed a novel analytical method, MIGWAS, to comprehensively evaluate enrichment of genome-wide association study (GWAS) signals in miRNA-target gene networks. We applied the method to the GWAS results of the 18 human complex traits from >1.75 million subjects, and identified significant enrichment in rheumatoid arthritis (RA), kidney function, and adult height (P < 0.05/18 = 0.0028, most significant enrichment in RA with P = 1.7 × 10(-4)). Interestingly, these results were consistent with current literature-based knowledge of the traits on miRNA obtained through the NCBI PubMed database search (adjusted P = 0.024). Our method provided a list of miRNA and target gene pairs with excess genetic association signals, part of which included drug target genes. We identified a miRNA (miR-4728-5p) that downregulates PADI2, a novel RA risk gene considered as a promising therapeutic target (rs761426, adjusted P = 2.3 × 10(-9)). Our study indicated the significant impact of miRNA-target gene networks on the genetics of human complex traits, and provided resources which should contribute to drug discovery and nucleic acid medicine.

Indexed as

AdultArthritis, RheumatoidBody HeightDown-RegulationGene Regulatory NetworksGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansHydrolasesKidneyMicroRNAsMolecular Targeted TherapyMultifactorial InheritancePolymorphism, Single NucleotideProtein-Arginine DeiminasesProtein-Arginine Deiminase Type 2HydrolasesMicroRNAsMIRN4728 microRNA, humanPADI2 protein, humanProtein-Arginine DeiminasesProtein-Arginine Deiminase Type 2

Identifiers

PMID26927695
PMCPMC4772006
OpenAlexW2317719637

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.