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Record W2923717806

Génétique moléculaire du glaucome : WDR36, un gène modificateur potentiel pour la sévérité du glaucome

2008· article· fr· W2923717806 on OpenAlexaboutno aff
Karine Lebel

Bibliographic record

VenueCorpus Université Laval (Université Laval) · 2008
Typearticle
Languagefr
FieldMedicine
TopicGlaucoma and retinal disorders
Canadian institutionsnot available
Fundersnot available
KeywordsPhysics
DOInot available

Abstract

fetched live from OpenAlex

Le glaucome primaire à angle ouvert (GPAO), caractérisé par une dégénérescence du nerf optique, est une maladie complexe et génétiquement hétérogène. La grande famille canadienne française CA, où la mutation myociline K423E cause le GPAO selon un mode autosomique dominant, présente une très grande variabilité de l'âge au diagnostic (AAD) pour la maladie. Pour déterminer si WDR36, le troisième gène identifié pour le GPAO, est aussi un gène modificateur altérant la sévérité du glaucome, nous avons fait une étude de corrélations génotype-phénotype chez 142 porteurs hétérozygotes de myociline K423E. Nous avons comparé l'AAD des doubles-porteurs de myociline K423E et de variations non-synonymes dans WDR36 avec la médiane de l'AAD de leurs proches parents porteurs seulement de myociline K423E. La majorité des dix-huit porteurs WDR36 satisfaisant les critères d'analyse avait un AAD plus jeune que la médiane de leurs proches parents. Quatre des cinq porteurs WDR36 D658G furent diagnostiqués de 9 à 15 ans plus jeune que leur médiane. En conclusion, notre étude suggère que WDR36 pourrait être un gène modificateur du glaucome puisque certains variants diminuent l' AAD lorsque le GPAO est causé par une mutation myociline.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.179
Teacher spread0.172 · 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 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

Citations0
Published2008
Admission routes1
Has abstractyes

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