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The spectrum of mutations in the patients presenting with ABCA4-associated Stargardt's disease in a Russian population

2016· article· en· W3093919051 on OpenAlexaff
I. V. Zolnikova, Marianna E. Ivanova, V. V. Strelnikov, D. V. Levina, O. N. Demenkova, А. С. Танас, Е В Рогатина, Irina Egorova, S Yu Rogova, E. Yu Prikazyuk

Bibliographic record

VenueRussian Pediatric Ophthalmology · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRetinal Development and Disorders
Canadian institutionsRoyal Canadian Military Institute
Fundersnot available
KeywordsStargardt diseaseABCA4PopulationFundus (uterus)Macular dystrophyMedicineOphthalmologyGeneticsGene mutationDiseaseBiologyGeneMutationPathologyRetinal

Abstract

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Introduction. Stargardt's disease is a hereditary retinal dystrophy characterized by the early manifestation and the progressive deterioration of visual acuity. The spectrum of mutations in the ABCA4 gene associated with this pathology in the Russian Federation has not been fully investigated. Aim. The objective of the present study was to elucidate the spectrum of mutations in the ABCA4 gene in the Russian patients presenting Stargardt's disease. Materials and methods. The study included a total of 38 unrelated patients at the age varying from 6 to 48 (mean 20 ± 8.9) years having the clinically confirmed diagnosis of Stargardt's disease. The search of mutations in DNA extracted from the peripheral blood lymphocytes of the patients was carried out with the use of a set of oligonucleotide primers (Ion Ampliseq Inherited Disease Panel; Life Technologies, USA). The Ion Torrent PGM Sequencer (Life Technologies, USA) was used for the parallel semiconductor sequencing of the gene-coding regions. All the patients underwent the standard ophthalmological examination, electroretinography, optical coherence tomography, and fundus autofluorescence. Results. We established the spectrum of mutations in the ABCA4 gene in the patients of a Russian population suffering from autosomal-recessive Stargardt's disease. We identified 45 alleles responsible for the development of this condition. 14 of them had been earlier described in the Russian patients while 19 were discovered for the first time in this country although they had been known to occur in other populations. Moreover, we described 12 novel heterozygous variations, viz. c.230T>A (rs61748527), c.4956T>G (rs61750561), c.2820>G (rs81749445). c.5226delT, c.2537A>T, c.57353T, c.893delG, c.702 insATC, c.3896T>G, c.1356delA, c.1341delGAT, and c.231insGAAAA. Discussion. The study has revealed the rather variable phenotype in the patients presenting with ABCA4-associated Stargardt's disease. A wide variety of mutations were shown to be responsible for the difference of the clinical picture of this condition in individual patients. The comparison of the genotypes and the phenotypes has demonstrated the differential effect of the concrete mutations. Conclusion. The spectrum of mutations in the patients presenting with ABCA4-associated Stargardt's disease in the surveyed Russian population is different from that in other populations. We have revealed 12 previously unknown mutations; moreover 19 mutations have been described for the first time in this country although they had been previously known to occur in other populations.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.248

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 head0.005
GPT teacher head0.229
Teacher spread0.224 · 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 designObservational
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".

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Citations3
Published2016
Admission routes1
Has abstractyes

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