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Record W4413924841 · doi:10.1093/brain/awaf264

Variant-specific deep phenotyping as a tool to develop precision therapies

2025· article· en· W4413924841 on OpenAlexaff
Rita Horváth, Hanns Lochmüller

Bibliographic record

VenueBrain · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCRISPR and Genetic Engineering
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPrecision medicineMEDLINEMedicinePsychologyComputational biologyBiologyPathology

Abstract

fetched live from OpenAlex

Gene-modifying therapies represent a transformative advance in rare genetic disease, enabling personalized interventions that target the underlying genetic causes with unprecedented accuracy.1 Antisense oligonucleotides (ASOs) are short synthetic strands of nucleic acids designed to specifically bind to a target mRNA sequence and modulate gene expression. By binding to a specific region of mRNA, ASOs can block or alter the splicing process, prevent the production of harmful proteins, or promote the production of functional proteins. ASOs opened new therapeutic avenues in neuromuscular diseases by enabling tailored interventions in spinal muscular atrophy (SMA) and Duchenne muscular dystrophy (DMD).2,3 In SMA, ASOs can compensate for the lack of SMN1 by increasing the expression of the SMN2 gene via altered splicing, and have been used worldwide in clinical practice through intrathecal administration (nusinersen).4 Exon skipping using ASOs is also a promising therapeutic strategy that enables the bypassing of defective exons in the dystrophin gene, restoring the production of a truncated but functional dystrophin protein in patients with specific mutations in DMD.2 However, targeting muscle with ASOs through intravenous administration has been less effective. Novel ASOs with improved muscle targeting are currently undergoing clinical trials for a variety of muscular dystrophies including DMD, facioscapulohumeral muscular dystrophy (FSHD) and myotonic dystrophy.3 The paper by Foley et al.5 in this issue of Brain highlights that targeting a single intronic variant with ASOs would be feasible to treat COL6-related dystrophy (COL6-RD) due to the recurrent variant COL6A1 c.930+189C>T. The resulting protein is expected to be full-length without a mutation, which is a particularly favourable outcome of exon skipping, unlike the truncated in-frame minidystrophin proteins resulting from exon skipping in DMD. Collagen VI-related dystrophies (COL6-RDs) encompass a broad spectrum of clinical phenotypes, ranging from the severe presentation of Ullrich congenital muscular dystrophy (UCMD), characterized by early-onset progressive muscle weakness, joint contractures and respiratory insufficiency, to the milder and later-onset Bethlem muscular dystrophy, which often resembles limb girdle muscular dystrophy.5 Intermediate phenotypes exhibit a clinical course between UCMD and Bethlem muscular dystrophy. Distinct clinical symptoms and muscle pathology are characteristic for COL6-RD. However, a subset of patients with typical presentation has remained without a causative variant in the canonical genes—COL6A1, COL6A2 or COL6A3. The combination of muscle RNA-sequencing and whole-genome sequencing in these individuals identified a recurrent, de novo deep intronic variant in intron 11 of COL6A1 (c.930+189C>T) that leads to a dominantly acting in-frame pseudo-exon insertion.6 Screening for this variant in additional patients with typical COL6-RD presentation has detected 44 individuals from 15 different countries, making this variant one of the most common recurrent causative variants in the collagen 6 genes.5 Detailed analysis of the clinical presentation and progression of individuals with this variant in a natural history study demonstrates a distinct phenotype—bridging between UCMD and Bethlem muscular dystrophy.5 While the symptoms are less prominent at birth, they show an accelerated progression to a severe form of UCMD and affected children lose independent ambulation at a mean age of 8.0 ± 3.0 years and require non-invasive ventilation at the mean age at 11.9 ± 4.4 years. One patient with somatic mosaicism for the COL6A1 intron 11 variant manifested a milder phenotype consistent with Bethlem muscular dystrophy, suggesting that a slight reduction in the pseudo-exon insertion in COL6A1 can result in partial rescue of UCMD into Bethlem muscular dystrophy, providing a strong rationale for the development of a splice-modifying ASO therapy.6,7 Previous studies have shown that splice modulating ASOs applied in vitro effectively decreased the mutant pseudoexon-containing COL6A1 transcripts to levels comparable to the somatic mosaicism found in one individual.7 Performing an international natural history study of this single variant and directly relating it to a ‘comparison cohort’ of patients with any other variants in the same gene causing UCMD has been a crucial step to determine how patients with this variant progress without a therapy and highlighted a precise baseline dataset enabling detection of treatment effect in a single or in a few patients in future treatment trials. The study also highlighted that developmental factors may affect splicing, which delayed the first manifestation of disease (almost no symptoms at birth), but resulted in rapid progression in childhood, which may be relevant for other genetic diseases with a similar mechanism. These findings highlight that using ASOs to treat patients with COL6-RD caused by COL6A1 c.930+189C>T may be a feasible approach. Genetic technologies have already shifted medicine from population-based therapeutics to stratified cohorts, and more recently this is further moving to truly individualized medicines in the rare disease space.8 These personalized treatments hold the potential to correct or modulate defective gene expression, offering hope where traditional approaches fail. However, the application of ASOs in rare diseases also presents substantial challenges.9 Small patient populations and variable phenotypes lead to difficulties in validating efficacy and safety. The high cost of developing and manufacturing personalized ASOs and the regulatory hurdles can also restrict clinical trials. Additionally, the long-term effects of such treatments remain uncertain, highlighting the need for continuous monitoring and refinement as the field evolves. Despite these difficulties, the field of individualized, or N-of-1, therapy development is growing and increasingly gaining attention as a novel option for people with severe diseases, caused by unique genetic variants for whom approved therapies are not available. The roadmap for developing such treatments highlights what needs to be established for N-of-1 therapies.8,9 The paper by Foley et al.5 closes a translational gap paving the way to develop an ‘N-of-few’ ASO therapy for a single COL6A1 mutation, which can be applicable for other rare genetic conditions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.002
Scholarly communication0.0020.003
Open science0.0020.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.285
Teacher spread0.279 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
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