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Record W1592600405 · doi:10.1002/mds.26104

Genetic variability of the retromer cargo recognition complex in parkinsonism

2014· article· en· W1592600405 on OpenAlexaff
Emil K. Gustavsson, Ilaria Guella, Joanne Trinh, Chelsea Szu‐Tu, Alex Rajput, Ali H. Rajput, John C. Steele, Martin J. McKeown, Beom S. Jeon, Jan Aasly, Matthew J. Farrer

Bibliographic record

VenueMovement Disorders · 2014
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsUniversity of SaskatchewanSaskatchewan Health AuthorityUniversity of British Columbia
Fundersnot available
KeywordsRetromerParkinsonismNonsynonymous substitutionGeneticsBiologyMutationMissense mutationGeneDiseaseMedicinePathologyEndosomeGenome

Abstract

fetched live from OpenAlex

BACKGROUND: A pathogenic mutation (VPS35 p.D620N) within the retromer complex has been shown to segregate with late-onset Parkinson's disease (PD). Several studies have subsequently detected the mutation in patients with PD and not in controls. METHODS: Mutation screening of the coding regions of the retromer cargo recognition complex genes (VPS26A/B, VPS29, and VPS35) was carried out in patients with PD (n = 396), atypical parkinsonism (n = 229), and in 368 controls. RESULTS: Overall, we identified five rare nonsynonymous mutations in VPS26A and one in VPS35; none were observed in VPS26B or VPS29. Three VPS26A variants (p.K93E, p.M112V, and p.K297X), identified in patients with atypical parkinsonism, were not observed in controls from this study (n = 368) or from publically available data sets (n = 4,426). CONCLUSION: Our results support the hypothesis that rare variants in the retromer complex genes may be involved in the development of parkinsonism, although further studies are warranted before any solid conclusions can be drawn.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.053
Threshold uncertainty score0.366

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.016
GPT teacher head0.238
Teacher spread0.222 · 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 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

Citations31
Published2014
Admission routes1
Has abstractyes

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