Evidence map›Paper›PMID 28754146›Full record

ArticleGenome biology2017

Population and allelic variation of A-to-I RNA editing in human transcriptomes.

Eddie Park, Jiguang Guo, Shihao Shen, Levon Demirdjian, Ying Nian Wu, Lan Lin, Yi Xing

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

36 citing papers in PubMed, 59 citations in OpenAlex.

  1. Multi-Tissue Genetic Regulation of RNA Editing in Pigs.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  18. Genetic drivers of mNature genetics · 2021
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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

7 authors at 2 institutions in 2 countries.

Eddie ParkDepartment of Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
Jiguang GuoDepartment of Microbiology & Parasitology, Medical School of Hebei University, Baoding, Hebei Province, 071002, China.
Shihao ShenDepartment of Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
Levon DemirdjianDepartment of Statistics, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
Ying Nian WuDepartment of Statistics, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
Lan LinDepartment of Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
Yi XingDepartment of Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, 90095, USA. yxing@ucla.edu.
University of California, Los Angeles · USHebei University · CN

Funding

Regenerative Musculoskeletal Medicine Training ProgramT32AR059033 · NIAMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI John S Adams, Nicholas M. Bernthal · 2011 to 2026
$4.8M
VARIATION AND REGULATION OF ALTERNATIVE SPLICING IN HUMAN TRANSCRIPTOMESR01GM088342 · NIGMS · UNIVERSITY OF IOWA · PI XING, YI · 2010 to 2020
$2.9M
ProteoSeq - An Integrative Computational Framework for ProteotranscriptomicsR01GM117624 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI XING, YI · 2016 to 2018
$1.1M
NIAMS NIH HHS T32 AR059033NIGMS NIH HHS R01 GM088342NIGMS NIH HHS R01 GM117624
6 · The paper itself

Abstract

backgroundA-to-I RNA editing is an important step in RNA processing in which specific adenosines in some RNA molecules are post-transcriptionally modified to inosines. RNA editing has emerged as a widespread mechanism for generating transcriptome diversity. However, there remain significant knowledge gaps about the variation and function of RNA editing.

resultsIn order to determine the influence of genetic variation on A-to-I RNA editing, we integrate genomic and transcriptomic data from 445 human lymphoblastoid cell lines by combining an RNA editing QTL (edQTL) analysis with an allele-specific RNA editing (ASED) analysis. We identify 1054 RNA editing events associated with cis genetic polymorphisms. Additionally, we find that a subset of these polymorphisms is linked to genome-wide association study signals of complex traits or diseases. Finally, compared to random cis polymorphisms, polymorphisms associated with RNA editing variation are located closer spatially to their respective editing sites and have a more pronounced impact on RNA secondary structure.

conclusionsOur study reveals widespread cis variation in RNA editing among genetically distinct individuals and sheds light on possible phenotypic consequences of such variation on complex traits and diseases.

Indexed as

Genetic VariationRNA EditingTranscriptomeAdenosineAllelesCell Line, TumorGenome, HumanGenome-Wide Association StudyHumansInosineLymphocytesQuantitative Trait LociRNASequence Analysis, RNAAdenosineInosineRNAGenetic variationGWASRNA editingRNA-seqTranscriptome

Identifiers

PMID28754146
PMCPMC5532815
OpenAlexW2742124973

What OpenQuestion holds

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LicenceCC BY
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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.