Evidence map›Paper›PMID 32718348›Full record

ArticleGenome biology2020

Polymorphic mobile element insertions contribute to gene expression and alternative splicing in human tissues.

Xiaolong Cao, Yeting Zhang, Lindsay M Payer, Hannah Lords, Jared P Steranka, Kathleen H Burns, Jinchuan Xing

Open access · goldAbstract readValidation Study
In one paragraph

Article in Genome biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

27 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Review
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  5. Review
  6. Polymorphic transposable elements contribute to variation in recombination landscapes.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Article
  8. Article
  9. Alternative splicing of transposable elements in human breast cancer.bioRxiv : the preprint server for biology · 2024
    Article
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  11. Review
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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 1 country.

Xiaolong CaoDepartment of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, 08854, USA.
Yeting ZhangDepartment of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, 08854, USA.
Lindsay M PayerDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
Hannah LordsDepartment of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, 08854, USA.
Jared P SterankaDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
Kathleen H BurnsDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
Jinchuan XingDepartment of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, 08854, USA. xing@biology.rutgers.edu.ORCID 0000-0001-6469-8733
Rutgers, The State University of New Jersey · USJohns Hopkins University · US

Funding

Supercomputing: Rutgers' Catalyst for Discovery at the Frontiers of MedicineS10OD012346 · OD · RBHS-NEW JERSEY MEDICAL SCHOOL · PI MICHELSON, LESLIE PAUL · 2015 to 2015
$1.7M
NIH HHS S10 OD012346
6 · The paper itself

Abstract

backgroundMobile elements are a major source of structural variants in the human genome, and some mobile elements can regulate gene expression and transcript splicing. However, the impact of polymorphic mobile element insertions (pMEIs) on gene expression and splicing in diverse human tissues has not been thoroughly studied. The multi-tissue gene expression and whole genome sequencing data generated by the Genotype-Tissue Expression (GTEx) project provide a great opportunity to systematically evaluate the role of pMEIs in regulating gene expression in human tissues.

resultsUsing the GTEx whole genome sequencing data, we identify 20,545 high-quality pMEIs from 639 individuals. Coupling pMEI genotypes with gene expression profiles, we identify pMEI-associated expression quantitative trait loci (eQTLs) and splicing quantitative trait loci (sQTLs) in 48 tissues. Using joint analyses of pMEIs and other genomic variants, pMEIs are predicted to be the potential causal variant for 3522 eQTLs and 3717 sQTLs. The pMEI-associated eQTLs and sQTLs show a high level of tissue specificity, and these pMEIs are enriched in the proximity of affected genes and in regulatory elements. Using reporter assays, we confirm that several pMEIs associated with eQTLs and sQTLs can alter gene expression levels and isoform proportions, respectively.

conclusionOverall, our study shows that pMEIs are associated with thousands of gene expression and splicing variations, indicating that pMEIs could have a significant role in regulating tissue-specific gene expression and transcript splicing. Detailed mechanisms for the role of pMEIs in gene regulation in different tissues will be an important direction for future studies.

Indexed as

Alternative SplicingDatasets as TopicGene ExpressionInterspersed Repetitive SequencesQuantitative Trait LociHumansAlternative splicingGene expression regulationPolymorphic mobile element insertionsQuantitative trait lociTransposable elements

Identifiers

PMID32718348
PMCPMC7385971
OpenAlexW3044308683

What OpenQuestion 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 OpenQuestion graph.