ReviewBriefings in bioinformatics2023
Splicing defects in rare diseases: transcriptomics and machine learning strategies towards genetic diagnosis.
Review in Briefings in bioinformatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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.
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.
Who cites it
24 citing papers in PubMed.
- Kidney Transcriptome Sequencing Improves Molecular Diagnosis and Reveals Splicing Complexity Across the Alport Spectrum.Kidney international reports · 2026Article
- Systematic reanalysis of next-generation sequencing data in 101 neuromuscular disorder families enhances diagnostic yield, reveals intronic variants, and identifies a novel disease gene.Journal of neurology · 2026Article
- Integrative analysis of drug-gene signatures in human pluripotent stem cells reveals prazosin as a novel SQSTM1 regulator for ALS therapeutics.Stem cell reports · 2026Article
- Advances and challenges of splicing prediction with AI.Nature genetics · 2026Review
- X-linked spondyloepiphyseal dysplasia tarda misdiagnosed as growth hormone deficiency: identification of a novel intronic TRAPPC2 variant by whole-genome sequencing.BMC pediatrics · 2026Article
- Targeted long-read RNA sequencing for rare disease diagnosis and variant interpretation.Science advances · 2026Article
- Causal splicing variants revealed by deep-learning integration of single-cell sQTL mapping under influenza infection.Research square · 2026Article
- Article
- Clinical and Molecular Delineation ofHuman mutation · 2026Article
- Privacy-by-Design with Federated Learning will drive future Rare Disease Research.Journal of neuromuscular diseases · 2026Review
- TheInternational journal of molecular sciences · 2025Review
- Benchmarking pre-trained genomic language models for RNA sequence-related predictive applications.Nature communications · 2025Article
- Investigation of GSDME results in the identification of the first pathogenic synonymous variants and genotype-phenotype correlations.Human genetics · 2025Article
- Integrative and accurate annotations enhance current nonsense-mediated mRNA decay rules.Nucleic acids research · 2025Article
- Genome-wide functional annotation and interpretation of splicing variants: toward RNA-targeted therapies.Journal of human genetics · 2025Review
- Bioinformatics frameworks for single-cell long-read sequencing: unlocking isoform-level resolution.Briefings in bioinformatics · 2025Review
- mRNA Isoforms and Variants in Health and Disease.International journal of molecular sciences · 2025Review
- Advancing genome-based precision medicine: a review on machine learning applications for rare genetic disorders.Briefings in bioinformatics · 2025Review
- Exon Nomenclature And Classification of Transcripts (ENACT) provides a systematic framework to annotate exon attributes.Genome research · 2025Article
- From computational models of the splicing code to regulatory mechanisms and therapeutic implications.Nature reviews. Genetics · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Genomic variants affecting pre-messenger RNA splicing and its regulation are known to underlie many rare genetic diseases. However, common workflows for genetic diagnosis and clinical variant interpretation frequently overlook splice-altering variants. To better serve patient populations and advance biomedical knowledge, it has become increasingly important to develop and refine approaches for detecting and interpreting pathogenic splicing variants. In this review, we will summarize a few recent developments and challenges in using RNA sequencing technologies for rare disease investigation. Moreover, we will discuss how recent computational splicing prediction tools have emerged as complementary approaches for revealing disease-causing variants underlying splicing defects. We speculate that continuous improvements to sequencing technologies and predictive modeling will not only expand our understanding of splicing regulation but also bring us closer to filling the diagnostic gap for rare disease patients.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.