Evidence map›Paper›PMID 31467902›Full record

ArticleBioMed research international2019

An Approach to Identify Individual Functional Single Nucleotide Polymorphisms and Isoform MicroRNAs.

Ying Wang, Jidong Ru, Tao Jin, Ming Sun, Lizhu Jia, Guijiang Sun

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BioMed research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Ying WangCollege of Computer and Control Engineering, Qiqihar University, No. 42, Wenhua Street, Qiqihar, Heilongjiang 161006, China.ORCID https://orcid.org/0000-0003-1231-3533
Jidong RuCollege of Light Industry and Textile, Qiqihar University, No. 42, Wenhua Street, Qiqihar, Heilongjiang 161006, China.ORCID https://orcid.org/0000-0003-1195-2835
Tao JinCollege of Computer and Control Engineering, Qiqihar University, No. 42, Wenhua Street, Qiqihar, Heilongjiang 161006, China.
Ming SunCollege of Computer and Control Engineering, Qiqihar University, No. 42, Wenhua Street, Qiqihar, Heilongjiang 161006, China.
Lizhu JiaNetwork Information Center, Qiqihar University, No. 42, Wenhua Street, Qiqihar, Heilongjiang 161006, China.
Guijiang SunNetwork Information Center, Qiqihar University, No. 42, Wenhua Street, Qiqihar, Heilongjiang 161006, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) and single nucleotide polymorphisms (SNPs) play important roles in disease risk and development, especially cancer. Importantly, when SNPs are located in pre-miRNAs, they affect their splicing mechanism and change the function of miRNAs. To improve disease risk assessment, we propose an approach and developed a software tool, IsomiR_Find, to identify disease/phenotype-related SNPs and isomiRs in individuals. Our approach is based on the individual's samples, with SNP information extracted from the 1000 Genomes Project. SNPs were mapped to pre-miRNAs based on whole-genome coordinates and then SNP-pre-miRNA sequences were constructed. Moreover, we developed matpred2, a software tool to identify the four splicing sites of mature miRNAs. Using matpred2, we identified isomiRs and then verified them by searching within individual miRNA sequencing data. Our approach yielded biomarkers for biological experiments, mined functions of miRNAs and SNPs, improved disease risk assessment, and provided a way to achieve individualized precision medicine.

Indexed as

SoftwareHumansMicroRNAsNeoplasmsPolymorphism, Single NucleotideRisk FactorsRNA Splice SitesRNA SplicingMicroRNAsRNA Splice Sites

Identifiers

PMID31467902
PMCPMC6699389

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Registered trials

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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.