Evidence map›Paper›PMID 28416821›Full record

ArticleNature genetics2017

Pathogenic variants that alter protein code often disrupt splicing.

Rachel Soemedi, Kamil J Cygan, Christy L Rhine, Jing Wang, Charlston Bulacan, John Yang, Pinar Bayrak-Toydemir, Jamie McDonald, William G Fairbrother

Abstract read
In one paragraph

Article in Nature genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 154 papers.

0numbers the graph read from it
0cells of the map it votes in
154citing papers in PubMed
9.7field-weighted citation impact, top 1% 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

154 citing papers in PubMed, 261 citations in OpenAlex.

  1. Contribution of Noncanonical Splice Variants toCirculation. Genomic and precision medicine · 2021
    Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Improving splice site usage prediction with SPLAIRE.bioRxiv : the preprint server for biology · 2026
    Article
  8. Article
  9. Review
  10. RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease.Annals of clinical and translational neurology · 2026
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Benchmarking RNA-seq Tools for Real-World Diagnostic Applications.medRxiv : the preprint server for health sciences · 2026
    Article
  18. Article
  19. Article
  20. Article

94 more citing papers are in PubMed but not listed here.

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

9 authors at 2 institutions in 1 country.

Rachel SoemediCenter for Computational Molecular Biology, Brown University, Providence, Rhode Island, USA.
Kamil J CyganCenter for Computational Molecular Biology, Brown University, Providence, Rhode Island, USA.ORCID http://orcid.org/0000-0003-2088-474X
Christy L RhineDepartment of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, Rhode Island, USA.
Jing WangDepartment of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, Rhode Island, USA.
Charlston BulacanDepartment of Computer Engineering, Brown University, Providence, Rhode Island, USA.
John YangDepartment of Computer Science, Brown University, Providence, Rhode Island, USA.
Pinar Bayrak-ToydemirDepartment of Pathology, University of Utah, School of Medicine, Salt Lake City, Utah, USA.
Jamie McDonaldDepartment of Pathology, University of Utah, School of Medicine, Salt Lake City, Utah, USA.
William G FairbrotherCenter for Computational Molecular Biology, Brown University, Providence, Rhode Island, USA.
Brown University · USUniversity of Utah · US

Funding

A genomic approach to studying the life cycle of intron lariatsR01GM105681 · NIGMS · BROWN UNIVERSITY · PI FAIRBROTHER, WILLIAM G · 2014 to 2022
$3.7M
A Discovery Tool for Variations that Affect SplicingR01GM095612 · NIGMS · BROWN UNIVERSITY · PI FAIRBROTHER, WILLIAM G · 2010 to 2014
$1.5M
Developing in vitro high throughput splicing assaysR21HG007905 · NHGRI · BROWN UNIVERSITY · PI FAIRBROTHER, WILLIAM G · 2014 to 2015
$437k
NHGRI NIH HHS R21 HG007905NIGMS NIH HHS R01 GM095612NIGMS NIH HHS R01 GM105681
6 · The paper itself

Abstract

The lack of tools to identify causative variants from sequencing data greatly limits the promise of precision medicine. Previous studies suggest that one-third of disease-associated alleles alter splicing. We discovered that the alleles causing splicing defects cluster in disease-associated genes (for example, haploinsufficient genes). We analyzed 4,964 published disease-causing exonic mutations using a massively parallel splicing assay (MaPSy), which showed an 81% concordance rate with splicing in patient tissue. Approximately 10% of exonic mutations altered splicing, mostly by disrupting multiple stages of spliceosome assembly. We present a large-scale characterization of exonic splicing mutations using a new technology that facilitates variant classification and keeps pace with variant discovery.

Indexed as

ExonsMutationRNA SplicingDNA Mutational AnalysisGenome, HumanHigh-Throughput Nucleotide SequencingHumansModels, GeneticProteinsRNA-Binding ProteinsRNA Splice SitesSpliceosomesProteinsRNA-Binding ProteinsRNA Splice Sites

Identifiers

PMID28416821
PMCPMC6679692
OpenAlexW2605631262

What OpenQuestion holds

Textmetadata
LicenceTDM
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.