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Record W4402374360 · doi:10.1136/jnnp-2024-ehdn.62

C003 The influence of CAG-CCG repeat sequence variants on the phenotype of HD patients with small expansions

2024· article· en· W4402374360 on OpenAlexaffabout
Anna Heinzmann, Chris Kay, Jean‐Loup Méreaux, Hailey Findlay Black, Claire‐Sophie Davoine, Jessica Dawson, Giulia Coarelli, Sabrina Sayah, Hortense Hurmic, Alexandra Dürr, Michael R. Hayden

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics and Neurodevelopmental Disorders
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPhenotypeSequence (biology)GeneticsComputational biologyComputer scienceBiologyGene

Abstract

fetched live from OpenAlex

Background Chorea is less frequent in patients with small CAG repeat alleles (CAG36-39).1 Synonymous sequence variants within the HTT CAG-CCG repeat region such as the loss of the CAA interruption (LOI), are modifiers of HD onset and penetrance, particularly in symptomatic carriers with small CAG repeat alleles.2 However, phenotypic differences other than earlier age at onset are not described. Aims We investigated how sequence variants influence the phenotype in patients with small CAG expansions. Methods We included 125 carriers with uninterrupted CAG36-39 in Paris (n=50) and in Vancouver (n=75). We amplified the region of interest by PCR and sequenced the amplicons with Illumina MiSeq (Paris) and clonal Sanger sequencing of the HTT repeat tract (Vancouver). Results We found 29 carriers with the LOI variant (23%). Patients with the LOI variant had a non significant earlier mean age at onset than those with the canonical sequence (59 years vs 61 years), depite comparable proportions of different CAG sizes in both groups. The full triad of motor, cognitive and psychiatric involvement was more frequent in LOI patients (100% vs. 36%; p<0.05), but there was no difference regarding the absence of chorea which was frequent in both groups (17% in patients with the LOI and 28% in patients with the canonical sequence). Conclusions In the largest phenotyped small expansion cohort with DNA sequence data from two reference centers to date, the LOI is potentially a severity factor of clinical manifestations. Specific phenotypic traits like chorea frequency appear to be more related to CAG size than structure. References Heinzmann A, Sayah S, Lejeune F, Hahn V, Teichmann M, Monin M, et al. Huntington’s disease with small CAG repeat expansions. Mov Disord. 2023 Jul;38(7):1294–306. Findlay Black H, Wright GEB, Collins JA, Caron N, Kay C, Xia Q, et al. Frequency of the loss of CAA interruption in the HTT CAG tract and implications for Huntington disease in the reduced penetrance range. Genet Med [Internet]. 2020 Aug 3 [cited 2020 Oct 2]; Available from: http://www.nature.com/articles/s41436-020-0917-z.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.001

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 head0.014
GPT teacher head0.216
Teacher spread0.202 · 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 designObservational
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".

Quick stats

Citations0
Published2024
Admission routes2
Has abstractyes

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