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Record W4409486670 · doi:10.1093/brain/awaf134

Intronic <i>FGF14</i> GAA repeat expansions impact progression and survival in multiple system atrophy

2025· article· en· W4409486670 on OpenAlexafffund
David Pellerin, Nirosen Vijiaratnam, Hamin Lee, Yen Yee Goh, Lauren Brown, Sara Sambin, Danielle Seilhean, Stéphane Lehéricy, Pablo Iruzubieta, Rahema Mohammad, Eleanor Self, Annarita Scardamaglia, Cameron Lee, Miriam Ostrožovičová, Marie‐Josée Dicaire, Christine Girges, Emil K. Gustavsson, David Murphy, Toby J Curless, Joshua Laβ, Joanne Trinh, Timothy Rittman, James B. Rowe, Marios Hadjivassiliou, Neil Archibald, Matt C. Danzi, Catherine Ashton, Virginie Roth, Marion Wandzel, Warren Cheung, Djordje Gverić, Bart De Vil, Jordan Follett, P. Nigel Leigh, Lukas Beichert, Tomi Pastinen, Céline Bonnet, M. Renaud, Wassilios G. Meissner, Anne Sieben, David Crosiers, Patrick Cras, Stephan Züchner, Jean-Christophe Corvol, Matthew J. Farrer, Matthis Synofzik, Bernard Brais, Thomas T. Warner, Huw R. Morris, Zane Jaunmuktane, Thomas Foltynie, Henry Houlden

Bibliographic record

VenueBrain · 2025
Typearticle
Languageen
FieldNeuroscience
TopicGenetic Neurodegenerative Diseases
Canadian institutionsCentre for Movement DisordersMcGill UniversityMontreal Neurological Institute and Hospital
FundersNIHR Cambridge Biomedical Research CentreInternational Centre for Bamboo and RattanUniversity College London Hospitals Biomedical Research CentreCentro de Investigación Biomédica en Red sobre Enfermedades NeurodegenerativasMedical Research Council CanadaEuropean Academy of NeurologyMultiple Sclerosis SocietyDepartment of Health and Social CareInstituto de Salud Carlos IIINational Institute for Health and Care ResearchElse Kröner-Fresenius-StiftungMultiple System Atrophy Coalition
KeywordsParkinsonismAtrophyAtaxiaSpinocerebellar ataxiaMedicinePathologyInternal medicineBiologyNeuroscienceDisease

Abstract

fetched live from OpenAlex

Partial phenotypic overlap has been suggested between multiple system atrophy and spinocerebellar ataxia 27B, the autosomal dominant ataxia caused by an intronic GAA•TTC repeat expansion in FGF14. In this study, we investigated the frequency of FGF14 GAA•TTC repeat expansion in clinically diagnosed and pathologically confirmed multiple system atrophy cases. We screened 657 multiple system atrophy cases (193 clinically diagnosed and 464 pathologically confirmed) and 1003 controls. The FGF14 repeat locus was genotyped using long-range PCR and bidirectional repeat-primed PCRs, and expansions were confirmed with targeted long-read Oxford Nanopore Technologies sequencing. We identified 19 multiple system atrophy cases carrying an FGF14 GAA≥250 expansion (2.89%, n = 19/657), a significantly higher frequency than in controls (1.40%, n = 12/1003) (P = 0.04). Long-read Oxford Nanopore Technologies sequencing confirmed repeat sizes and polymorphisms detected by PCR, with high concordance (Pearson's r = 0.99, P < 0.0001). Seven multiple system atrophy patients had a pathogenic FGF14 GAA≥300 expansion (five pathologically confirmed and two clinically diagnosed), and 12 had intermediate GAA250-299 expansion (six pathologically confirmed and six clinically diagnosed). A similar proportion of cerebellar-predominant and parkinsonism-predominant multiple system atrophy cases had FGF14 expansions. Multiple system atrophy patients carrying an FGF14 GAA≥250 expansion exhibited severe gait ataxia, autonomic dysfunction and parkinsonism, in keeping with a multiple system atrophy phenotype, with a faster progression to falls (P = 0.03) and regular wheelchair use (P = 0.02) in comparison to the multiple system atrophy cases without FGF14 GAA expansion. The length of the GAA•TTC repeat expansion lengths was inversely correlated with survival in multiple system atrophy patients (r = -0.67; P = 0.02) but not with age of onset. Therefore, screening for FGF14 GAA•TTC repeat expansion should be considered for multiple system atrophy patients with rapid loss of mobility and for complete diagnostic accuracy at inclusion in disease-modifying multiple system atrophy drug trials.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.176
Threshold uncertainty score0.601

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.019
GPT teacher head0.303
Teacher spread0.283 · 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 teacher head, 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".

Quick stats

Citations6
Published2025
Admission routes2
Has abstractyes

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