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Record W4286511462 · doi:10.1016/j.jaapos.2022.03.013

Unilateral cataract and congenital stationary night blindness in a child with novel variants in TRPM1

2022· article· en· W4286511462 on OpenAlexafffundabout
Eman Saleh, Monika Grudzinska Pechhacker, Anjali Vig, Maanik Mehta, Jason T. Maynes, Anupreet Tumber, Erika Tavares, Ajoy Vincent, Kamiar Mireskandari, Elise Héon

Bibliographic record

VenueJournal of American Association for Pediatric Ophthalmology and Strabismus · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnexins and lens biology
Canadian institutionsSickKids FoundationUniversity of TorontoHospital for Sick Children
FundersHospital for Sick Children
KeywordsMedicineRetinal DisorderPhenotypeOphthalmologyCataractsGeneticsElectroretinographyBlindnessGeneRetinalOptometryBiology

Abstract

fetched live from OpenAlex

Unilateral cataract can cause pediatric vision impairment. Although the majority of unilateral cataracts are idiopathic in nature, genetic causes have been reported. We present the case of a 4-week-old child of nonconsanguineous parents who was affected with unilateral cataract. Whole-genome sequencing using DNA extracted from blood and the lens epithelial cells following cataract surgery revealed two presumed pathogenic variants in the TRPM1 gene, the founding member of the melanoma-related transient receptor potential (TRPM) subfamily. TRPM1 is responsible for regulating cation influx to hyperpolarized retinal ON bipolar cells, and mutations in this gene are a major cause of autosomal recessive congenital stationary night blindness (CSNB). Electroretinography revealed findings consistent with CSNB, a phenotype that was not initially suspected, and which would likely have been missed without genome sequencing. It remains unclear whether the TRPM1 variants are associated with the cataract 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 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)0.003
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 score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.242
Teacher spread0.235 · 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

Citations2
Published2022
Admission routes3
Has abstractyes

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