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Record W2151718934 · doi:10.1136/jmg.40.11.e124

A novel <i>GJA8</i> mutation in an Iranian family with progressive autosomal dominant congenital nuclear cataract

2003· article· en· W2151718934 on OpenAlexafffund
Colin E. Willoughby

Bibliographic record

VenueJournal of Medical Genetics · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnexins and lens biology
Canadian institutionsToronto General HospitalToronto Western HospitalHospital for Sick ChildrenSickKids FoundationUniversity of Toronto
FundersCanadian Institutes of Health ResearchHospital for Sick ChildrenSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungBupa FoundationNational Science Foundation
KeywordsCataractsMutationMedicineGeneticsConnexinPediatricsOphthalmologyGeneBiology

Abstract

fetched live from OpenAlex

Cataract results from a loss in transparency of the crystalline lens. Worldwide, there are an estimated 20 million people blind (Snellen visual acuity of 3/60 or less) as a result of cataract.1 Despite effective surgical treatment, demand outstrips supply in both Western and developing countries, for many reasons,2,3 and other disease modifying strategies must be considered. A strong genetic predisposition to the development of congenital cataract and age related cataract has been well documented.4,5 Inherited cataract accounts for at least 50% of all congenital cataracts,6 and shows marked inter- and intrafamilial variation.7 Twin studies on age related cataracts in the United Kingdom estimate that two thirds of cortical cataract and at least half of nuclear cataracts can be explained by genetic factors.8,9 Previous genetic studies of congenital cataracts identified connexin 50 ( Cx50 ) as a cataract related gene.10–12 Here we report a novel heterozygous R23T mutation in the GJA8 gene (MIM#600897) encoding connexin 50, in an Iranian family affected by a progressive autosomal dominant congenital nuclear cataract. In addition, to determine the genetic contribution of connexin 50 mutations to the basis of congenital and age related cataracts for our mutation (R23T) and the other three published Cx50 mutations (P88S, E48K, and I247M)10–12, two additional patient populations were screened for those changes. ### Key points

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.735
Threshold uncertainty score0.411

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 head0.012
GPT teacher head0.267
Teacher spread0.255 · 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

Citations85
Published2003
Admission routes2
Has abstractyes

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