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Record W1984906692 · doi:10.1093/brain/awu341

Parkinsonism in GTP cyclohydrolase 1 mutation carriers

2014· letter· en· W1984906692 on OpenAlexafffund
Ilaria Guella, Holly E. Sherman, Silke Appel‐Cresswell, Alex Rajput, Ali H. Rajput, Matthew J. Farrer

Bibliographic record

VenueBrain · 2014
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolism and Genetic Disorders
Canadian institutionsUniversity of SaskatchewanPacific Centre for Reproductive MedicineUniversity of British ColumbiaSaskatchewan Health AuthorityUniversity of British Columbia Hospital
FundersCanada Excellence Research Chairs, Government of CanadaGenome British Columbia
KeywordsParkinsonismDystoniaLevodopaGTP cyclohydrolase IExome sequencingMutationDopamineGeneticsDiseaseInternal medicineMedicineParkinson's diseaseNeurosciencePsychologyBiologyTetrahydrobiopterinGene

Abstract

fetched live from OpenAlex

Sir, We read with great interest the article by Mencacci and colleagues (2014) reporting a significantly higher frequency of GTP cyclohydrolase 1 ( GCH1 ) variants in patients with Parkinson’s disease compared to controls. Whole-exome sequencing of a large case-control cohort showed that rare GCH1 coding variants are associated with a 7-fold increased risk of Parkinson’s disease. Heterozygous loss-of-function mutations in GCH1 , a crucial enzyme for dopamine production in nigrostriatal neurons (Kaufman, 1959; Nagatsu et al. , 1964), are the most common cause of DOPA-responsive dystonia (DRD) (Ichinose et al. , 1994). DRD is a rare hereditary disease characterized by childhood-onset, generalized dystonia and a dramatic long-lasting response to levodopa (Segawa et al. , 1976). The disease may also manifest in adulthood with parkinsonism as the sole or dominant clinical feature (Hjermind et al. , 2006; Momma et al. , 2009). GCH1 mutations have been shown to segregate in pedigrees with multiple individuals affected by isolated parkinsonism, a phenotype …

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.154
Threshold uncertainty score1.000

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 integrity0.0010.000
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 head0.007
GPT teacher head0.231
Teacher spread0.225 · 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.

Study designNot applicable
Domainnot available
GenreCommentary

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

Citations24
Published2014
Admission routes2
Has abstractyes

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