Evidence map›Paper›PMID 31745258›Full record

ArticleInternational journal of obesity (2005)2020

Identification and functional validation of genetic variants in potential miRNA target sites of established BMI genes.

Pankaj Kumar, Michael Traurig, Leslie J Baier

Abstract read
PubMed Publisher
In one paragraph

Article in International journal of obesity (2005), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. 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

3 authors.

Pankaj Kumar *Diabetes Molecular Genetics Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA.
Michael Traurig *Diabetes Molecular Genetics Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA.
Leslie J BaierDiabetes Molecular Genetics Section, Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA. lbaier@phx.niddk.nih.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveMicroRNAs (miRNAs) play an important role in posttranscriptional regulation by binding to target sites in the 3'UTR of protein-coding genes. Genetic variation within target sites may potentially disrupt the binding activity of miRNAs, thereby impacting this regulation. In the current study, we investigated whether any established BMI-associated genetic variants potentially function by altering a miRNA target site.

methodsThe genomic positions of all predicted miRNA target site seed regions were identified, and these positions were queried in the T2D Knowledge Portal for variants that associated with BMI in the GIANT UK Biobank. This in silico analysis identified ten target site variants that associated with BMI with a P value ≤ 5 × 10

resultsIn vitro functional analyses showed that five of these target site variants, rs7132908 (FAIM2), rs4963153 (SLC25A22), rs9460 (ADPGK), rs11191548 (NT5C2), and rs3008747 (CCDC171), disrupted the binding activity of miRNAs to their target in an allele-specific manner.

conclusionIn conclusion, our study suggests that some established variants for BMI may function by altering miRNA binding to a 3'UTR target site.

Indexed as

Body Mass IndexDatabases, FactualGene Expression RegulationGenomicsHumansMicroRNAsObesityPolymorphism, Single NucleotideMicroRNAs

Identifiers

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.