Evidence map›Paper›PMID 31779641›Full record

ArticleGenome biology2019

RegSNPs-intron: a computational framework for predicting pathogenic impact of intronic single nucleotide variants.

Hai Lin, Katherine A Hargreaves, Rudong Li, Jill L Reiter, Yue Wang, Matthew Mort, David N Cooper, Yaoqi Zhou, Chi Zhang, Michael T Eadon and 4 more

Abstract readValidation Study
In one paragraph

Article in Genome biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed.

  1. Article
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  7. Article
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  9. Targeted Next-Generation Sequencing in Rare Diseases.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Biology · 2024
    Article
  14. Article
  15. Article
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  17. Review
  18. Role ofDiagnostics (Basel, Switzerland) · 2023
    Article
  19. Article
  20. 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

14 authors.

Hai LinCenter for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
Katherine A HargreavesDivision of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, 950 W Walnut St, Suite 419, Indianapolis, IN, 46202, USA.
Rudong LiCenter for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
Jill L ReiterCenter for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
Yue WangDepartment of Medical & Molecular Genetics, Indiana University School of Medicine, 410 West 10th Street, Suite 5000, Indianapolis, IN, 46202, USA.
Matthew MortInstitute of Medical Genetics, Cardiff University, Heath Park, Cardiff, CF14 4XN, UK.
David N CooperInstitute of Medical Genetics, Cardiff University, Heath Park, Cardiff, CF14 4XN, UK.
Yaoqi ZhouInstitute for Glycomics and School of Informatics and Communication Technology, Griffith University, Parklands Dr., Southport, QLD, 4215, Australia.
Chi ZhangCenter for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
Michael T EadonDivision of Nephrology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
M Eileen DolanSection of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, IL, 60637, USA.
Joseph IpeDivision of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, 950 W Walnut St, Suite 419, Indianapolis, IN, 46202, USA.
Todd C SkaarDivision of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, 950 W Walnut St, Suite 419, Indianapolis, IN, 46202, USA. tskaar@iu.edu.
Yunlong LiuCenter for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA. yunliu@iu.edu.ORCID 0000-0002-2699-626X

Funding

Regulation of mRNA splicing by intronic genetic variantsR01CA213466 · NCI · INDIANA UNIVERSITY INDIANAPOLIS · PI LIU, YUNLONG, SKAAR, TODD C. · 2016 to 2018
$1.7M
Acute inhibition of renal gene expression to prevent nephrotoxicity.K08DK107864 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI EADON, MICHAEL THOMAS · 2016 to 2020
$772k
NCI NIH HHS CA213466NCI NIH HHS R01 CA213466NIDDK NIH HHS K08 DK107864
6 · The paper itself

Abstract

Single nucleotide variants (SNVs) in intronic regions have yet to be systematically investigated for their disease-causing potential. Using known pathogenic and neutral intronic SNVs (iSNVs) as training data, we develop the RegSNPs-intron algorithm based on a random forest classifier that integrates RNA splicing, protein structure, and evolutionary conservation features. RegSNPs-intron showed excellent performance in evaluating the pathogenic impacts of iSNVs. Using a high-throughput functional reporter assay called ASSET-seq (ASsay for Splicing using ExonTrap and sequencing), we evaluate the impact of RegSNPs-intron predictions on splicing outcome. Together, RegSNPs-intron and ASSET-seq enable effective prioritization of iSNVs for disease pathogenesis.

Indexed as

Genetic TechniquesIntronsModels, GeneticPolymorphism, Single NucleotideAlgorithmsAlternative SplicingDiseaseExonsGene FrequencyHumansSoftwareBioinformaticsComputational biologyDisease pathogenesisHigh-throughput screening assayIntronPrediction modelRandom forestRNA splicingSingle nucleotide polymorphism

Identifiers

PMID31779641
PMCPMC6883696

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.