Evidence map›Paper›PMID 35960994›Full record

ReviewHuman molecular genetics2022

Bridging the splicing gap in human genetics with long-read RNA sequencing: finding the protein isoform drivers of disease.

Peter J Castaldi, Abdullah Abood, Charles R Farber, Gloria M Sheynkman

Abstract readReview
In one paragraph

Review in Human molecular genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Charcot-Marie-Tooth disease and related neuropathies.Nature reviews. Disease primers · 2026
    Review
  9. Article
  10. Article
  11. Review
  12. Exploration of Neurodegenerative Diseases Using Long-Read Sequencing and Optical Genome Mapping Technologies.Movement disorders : official journal of the Movement Disorder Society · 2025
    Review
  13. Alternative splicing in addiction.Current opinion in genetics & development · 2025
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

4 authors.

Peter J CastaldiChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA.
Abdullah AboodCenter for Public Health Genomics, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA.
Charles R FarberCenter for Public Health Genomics, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA.
Gloria M SheynkmanCenter for Public Health Genomics, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA.ORCID 0000-0002-4223-9947

Funding

Women's Oncology Program - WONP30CA044579 · NCI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Dina Gould Halme · 1987 to 2026
$72.1M
Using Integrative Genomics To Identify and Characterize Emphysema-Associated eQTLR01HL124233 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI CASTALDI, PETER · 2014 to 2024
$7.1M
A Systems Genetics Approach to Identify BMD GenesR01AR071657 · NIAMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI FARBER, CHARLES R, GERSTENFELD, LOUIS CHARLES · 2018 to 2022
$3.9M
Informing Osteoporosis GWAS Using NetworksR01AR077992 · NIAMS · UNIVERSITY OF VIRGINIA · PI FARBER, CHARLES R · 2020 to 2025
$2.8M
Prospective Health Outcomes and Inflammatory Biomarkers Associated with e-Cigarette UseR01HL147326 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI CASTALDI, PETER · 2019 to 2021
$1.5M
Transdisciplinary Big Data Science Training at UVaT32LM012416 · NLM · UNIVERSITY OF VIRGINIA · PI BROWN, DONALD E, LOUGHRAN, THOMAS P. · 2016 to 2020
$1.3M
Predicting the functional impact of alternative splicing on protein-protein interactions using an integrated approachR01LM014017 · NLM · WORCESTER POLYTECHNIC INSTITUTE · PI KORKIN, DMITRY, SHEYNKMAN, GLORIA · 2022 to 2025
$1.3M
NCI NIH HHS P30 CA044579NHLBI NIH HHS R01 HL124233NHLBI NIH HHS R01 HL147326NIAMS NIH HHS R01 AR071657NIAMS NIH HHS R01 AR077992NIH HHS R01HL124233NLM NIH HHS R01 LM014017NLM NIH HHS T32 LM012416
6 · The paper itself

Abstract

Aberrant splicing underlies many human diseases, including cancer, cardiovascular diseases and neurological disorders. Genome-wide mapping of splicing quantitative trait loci (sQTLs) has shown that genetic regulation of alternative splicing is widespread. However, identification of the corresponding isoform or protein products associated with disease-associated sQTLs is challenging with short-read RNA-seq, which cannot precisely characterize full-length transcript isoforms. Furthermore, contemporary sQTL interpretation often relies on reference transcript annotations, which are incomplete. Solutions to these issues may be found through integration of newly emerging long-read sequencing technologies. Long-read sequencing offers the capability to sequence full-length mRNA transcripts and, in some cases, to link sQTLs to transcript isoforms containing disease-relevant protein alterations. Here, we provide an overview of sQTL mapping approaches, the use of long-read sequencing to characterize sQTL effects on isoforms, the linkage of RNA isoforms to protein-level functions and comment on future directions in the field. Based on recent progress, long-read RNA sequencing promises to be part of the human disease genetics toolkit to discover and treat protein isoforms causing rare and complex diseases.

Indexed as

Human GeneticsRNA IsoformsHumansProtein IsoformsRNA, MessengerSequence Analysis, RNAProtein IsoformsRNA IsoformsRNA, Messenger

Identifiers

PMID35960994
PMCPMC9585682

What OpenQuestion holds

Textmetadata
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.