Evidence map›Paper›PMID 30026530›Full record

ArticleScientific reports2018

Comprehensive map of age-associated splicing changes across human tissues and their contributions to age-associated diseases.

Kun Wang, Di Wu, Haoyue Zhang, Avinash Das, Mahashweta Basu, Justin Malin, Kan Cao, Sridhar Hannenhalli

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
3.2field-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

46 citing papers in PubMed, 77 citations in OpenAlex.

  1. Article
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  5. TDP-43: [GU]-ardian of the transcriptome.Molecular neurodegeneration · 2026
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  7. Antisense Oligonucleotide Therapeutics Targeting Age-Related Diseases.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2026
    Review
  8. Article
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  11. Review
  12. mRNA Isoforms and Variants in Health and Disease.International journal of molecular sciences · 2025
    Review
  13. The Implications of Alternative Splicing Regulation for Maximum Lifespan.bioRxiv : the preprint server for biology · 2025
    Article
  14. Article
  15. mRNA Transcript Variants Expressed in Mammalian Cells.International journal of molecular sciences · 2025
    Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Noncoding RNA Contribution to Aging and Lifespan.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Article
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

8 authors at 2 institutions in 1 country.

Kun WangCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, 20742, USA.
Di WuDepartment of Cell Biology and Molecular Genetics, University of Maryland, College Park, MD, 20742, USA.
Haoyue ZhangDepartment of Cell Biology and Molecular Genetics, University of Maryland, College Park, MD, 20742, USA.
Avinash DasCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, 20742, USA.
Mahashweta BasuCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, 20742, USA.
Justin MalinComputational Biology Branch, National Center for Biotechnology Information, National Institutes of Health, Bethesda, MD, 20892, USA.
Kan CaoDepartment of Cell Biology and Molecular Genetics, University of Maryland, College Park, MD, 20742, USA. kcao@umd.edu.
Sridhar HannenhalliCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, 20742, USA. sridhar@umiacs.umd.edu.
University of Maryland, College Park · USNational Institutes of Health · US

Funding

Investigation of smooth muscle cell loss in progeriaR01HL126784 · NHLBI · UNIV OF MARYLAND, COLLEGE PARK · PI CAO, KAN · 2016 to 2020
$2.1M
Conundrums in Transcriptional RegulationR01GM100335 · NIGMS · UNIV OF MARYLAND, COLLEGE PARK · PI HANNENHALLI, SRIDHAR · 2012 to 2015
$1.2M
Identification of Splicing-Related Aging BiomarkersR21AG043801 · NIA · UNIV OF MARYLAND, COLLEGE PARK · PI CAO, KAN · 2014 to 2015
$401k
NHLBI NIH HHS R01 HL126784NIA NIH HHS R21 AG043801NIGMS NIH HHS R01 GM100335
6 · The paper itself

Abstract

Alternative splicing contributes to phenotypic diversity at multiple biological scales, and its dysregulation is implicated in both ageing and age-associated diseases in human. Cross-tissue variability in splicing further complicates its links to age-associated phenotypes and elucidating these links requires a comprehensive map of age-associated splicing changes across multiple tissues. Here, we generate such a map by analyzing ~8500 RNA-seq samples across 48 tissues in 544 individuals. Employing a stringent model controlling for multiple confounders, we identify 49,869 tissue-specific age-associated splicing events of 7 distinct types. We find that genome-wide splicing profile is a better predictor of biological age than the gene and transcript expression profiles, and furthermore, age-associated splicing provides additional independent contribution to age-associated complex diseases. We show that the age-associated splicing changes may be explained, in part, by concomitant age-associated changes of the upstream splicing factors. Finally, we show that our splicing-based model of age can successfully predict the relative ages of cells in 8 of the 10 paired longitudinal data as well as in 2 sets of cell passage data. Our study presents the first systematic investigation of age-associated splicing changes across tissues, and further strengthening the links between age-associated splicing and age-associated diseases.

Indexed as

AgingAlternative SplicingFemaleGene Expression ProfilingGenetic Predisposition to DiseaseHumansMaleOrgan SpecificityRNARNA SplicingSequence Analysis, RNARNA

Identifiers

PMID30026530
PMCPMC6053367
OpenAlexW2883803503

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.