Evidence map›Paper›PMID 37434206›Full record

ArticleGenome biology2023

Mapping genetic variants for nonsense-mediated mRNA decay regulation across human tissues.

Bo Sun, Liang Chen

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

15 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
  2. BiallelicFrontiers in genetics · 2026
    Article
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  6. Review
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  12. Global impact of aberrant splicing on human gene expression levels.bioRxiv : the preprint server for biology · 2023
    Article
  13. RecessiveJournal of personalized medicine · 2023
    Article
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  15. 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

2 authors at 1 institution in 1 country.

Bo SunDepartment of Quantitative and Computational Biology, University of Southern California, 1050 Childs Way, Los Angeles, CA, 90089, USA.
Liang ChenDepartment of Quantitative and Computational Biology, University of Southern California, 1050 Childs Way, Los Angeles, CA, 90089, USA. liang.chen@usc.edu.ORCID 0000-0001-6164-4553
University of Southern California · US

Funding

The Role of NMD in Cortical Neural Progenitor CellsR01NS125276 · NINDS · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI Sika Zheng · 2022 to 2026
$2.6M
The Regulation and Function of Neuron-Specific Alternative SplicingR01NS104041 · NINDS · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI ZHENG, SIKA · 2018 to 2022
$2.1M
Understanding the NMD regulatory path from genetic variation to phenotypesR01GM137428 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CHEN, LIANG · 2020 to 2023
$1.6M
NIGMS NIH HHS R01 GM137428NINDS NIH HHS R01 NS104041NINDS NIH HHS R01 NS125276
6 · The paper itself

Abstract

backgroundNonsense-mediated mRNA decay (NMD) was originally conceived as an mRNA surveillance mechanism to prevent the production of potentially deleterious truncated proteins. Research also shows NMD is an important post-transcriptional gene regulation mechanism selectively targeting many non-aberrant mRNAs. However, how natural genetic variants affect NMD and modulate gene expression remains elusive.

resultsHere we elucidate NMD regulation of individual genes across human tissues through genetical genomics. Genetic variants corresponding to NMD regulation are identified based on GTEx data through unique and robust transcript expression modeling. We identify genetic variants that influence the percentage of NMD-targeted transcripts (pNMD-QTLs), as well as genetic variants regulating the decay efficiency of NMD-targeted transcripts (dNMD-QTLs). Many such variants are missed in traditional expression quantitative trait locus (eQTL) mapping. NMD-QTLs show strong tissue specificity especially in the brain. They are more likely to overlap with disease single-nucleotide polymorphisms (SNPs). Compared to eQTLs, NMD-QTLs are more likely to be located within gene bodies and exons, especially the penultimate exons from the 3' end. Furthermore, NMD-QTLs are more likely to be found in the binding sites of miRNAs and RNA binding proteins.

conclusionsWe reveal the genome-wide landscape of genetic variants associated with NMD regulation across human tissues. Our analysis results indicate important roles of NMD in the brain. The preferential genomic positions of NMD-QTLs suggest key attributes for NMD regulation. Furthermore, the overlap with disease-associated SNPs and post-transcriptional regulatory elements implicates regulatory roles of NMD-QTLs in disease manifestation and their interactions with other post-transcriptional regulators.

Indexed as

MicroRNAsNonsense Mediated mRNA DecayBinding SitesBrainHumansQuantitative Trait LociMicroRNAsDecay efficiencyDisease SNPsGenetical genomicsGenetic variantsGTExmiRNANMD-QTLNonsense-mediated mRNA decayPost-transcriptional regulationRNA binding proteins

Identifiers

PMID37434206
PMCPMC10337212
OpenAlexW4383875910

What Socratic 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 Socratic graph.