Evidence map›Paper›PMID 30312373›Full record

ReviewBriefings in functional genomics2019

Single-nucleotide variants in human RNA: RNA editing and beyond.

Yan Guo, Hui Yu, David C Samuels, Wei Yue, Scott Ness, Ying-Yong Zhao

Erratum issuedAbstract readReview
In one paragraph

Review in Briefings in functional genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Multi-Tissue Genetic Regulation of RNA Editing in Pigs.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. RNA editing in Mycobacterium tuberculosis.Microbiological research · 2022
    Review
  11. Animals : an open access journal from MDPI · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Deciphering miRNAs' Action through miRNA Editing.International journal of molecular sciences · 2019
    Review
  19. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Yan GuoDepartment of Internal Medicine, University of New Mexico Comprehensive Cancer Center, Albuquerque, NM, USA.
Hui YuDepartment of Internal Medicine, University of New Mexico Comprehensive Cancer Center, Albuquerque, NM, USA.
David C SamuelsVanderbilt Genetics Institute, Department of Molecular Physiology and Biophysics, Vanderbilt University Medical School, Nashville, TN, USA.
Wei YueDepartment of Internal Medicine, University of New Mexico Comprehensive Cancer Center, Albuquerque, NM, USA.
Scott NessDepartment of Internal Medicine, University of New Mexico Comprehensive Cancer Center, Albuquerque, NM, USA.
Ying-Yong ZhaoKey Laboratory of Resource Biology and Biotechnology in Western China, School of Life Sciences, Northwest University,Xi'an, Shaanxi, China.

Funding

WOMEN'S CANCERS RESEARCH PROGRAMP30CA118100 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Yolanda Sanchez · 2005 to 2026
$57.1M
Mutations and Target Genes in Adenoid Cystic CarcinomaR01DE023222 · NIDCR · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Viswanathan Palanisamy · 2012 to 2026
$5.6M
Alternative RNA splicing and protein products in leukemia outcome (PQ11)R01CA170250 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI NESS, SCOTT A. · 2012 to 2015
$2.3M
NCI NIH HHS P30 CA118100NCI NIH HHS R01 CA170250NIDCR NIH HHS R01 DE023222
6 · The paper itself

Abstract

Through analysis of paired high-throughput DNA-Seq and RNA-Seq data, researchers quickly recognized that RNA-Seq can be used for more than just gene expression quantification. The alternative applications of RNA-Seq data are abundant, and we are particularly interested in its usefulness for detecting single-nucleotide variants, which arise from RNA editing, genomic variants and other RNA modifications. A stunning discovery made from RNA-Seq analyses is the unexpectedly high prevalence of RNA-editing events, many of which cannot be explained by known RNA-editing mechanisms. Over the past 6-7 years, substantial efforts have been made to maximize the potential of RNA-Seq data. In this review we describe the controversial history of mining RNA-editing events from RNA-Seq data and the corresponding development of methodologies to identify, predict, assess the quality of and catalog RNA-editing events as well as genomic variants.

Indexed as

Genome, HumanPolymorphism, Single NucleotideRNA EditingGenomicsHumansRNASequence Analysis, RNATranscriptomeRNAADARnon-canonical RNA editingRNA editingRNA-SeqSNPSNV

Identifiers

PMID30312373
PMCPMC7962770

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.