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Record W2093111668 · doi:10.1212/wnl.0b013e3181ae7c79

MEIS1 p.R272H IN FAMILIAL RESTLESS LEGS SYNDROME

2009· article· en· W2093111668 on OpenAlexaff
Hongmei Chai, Brett H. Keeling, Jessica E. Young, Ali H. Rajput, Timothy Lynch, Jan Aasly, Ryan J. Uitti, Zbigniew K. Wszołek, Matthew J. Farrer, Sheng-Huang Lin

Bibliographic record

VenueNeurology · 2009
Typearticle
Languageen
FieldMedicine
TopicRestless Legs Syndrome Research
Canadian institutionsRoyal University Hospital
FundersNational Institute of Neurological Disorders and StrokeNational Institutes of HealthNorges Teknisk-Naturvitenskapelige Universitet
KeywordsRestless legs syndromeExonGeneticsProbandPopulationBiologyDiseasegenomic DNAMedicineGeneInternal medicineNeurologyMutationNeuroscience

Abstract

fetched live from OpenAlex

Restless legs syndrome (RLS, OMIM 102300) is a neurologic condition characterized by a distressing urge to move the legs, usually accompanied by an uncomfortable sensation described as a crawling, muscle ache, or tension.It is usually brought on by rest, worse in the evening or night, and relieved by movement. 1Recently, MEIS1 and BTBD9 have been identified and confirmed as RLS susceptibility genes; however, all the variants found to be associated with disease are located deep in intronic regions and are not thought to be functional. [2]3][4] To date, sequencing of MEIS1 and BTBD9 in RLS samples has not been reported and therefore functional variants responsible for the increased disease risk have not been identified.Here we report sequencing of all MEIS1 and BTBD9 coding exons and exon-intron boundaries in RLS familial probands followed by assessment of segregation of novel variants with disease within families and evaluation of prevalence in patients with RLS and the general population.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.032
GPT teacher head0.332
Teacher spread0.300 · 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 designCase report
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

Citations29
Published2009
Admission routes1
Has abstractyes

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