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Record W2761333677 · doi:10.24870/cjb.2017-a69

Exome Sequencing for cerebral palsies: Opening windows for differential diagnosis

2017· article· en· W2761333677 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian Journal of Biotechnology · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Rare Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsExome sequencingDifferential diagnosisMedicineDifferential (mechanical device)BiologyPathologyGeneticsMutationGeneEngineering

Abstract

fetched live from OpenAlex

DNA sequencing technologies played a critical role in the last two decades in expanding our understanding of genetic spectrum behind neurodevelopmental disorders. Recently, induction MPS in the area of medical genetics provided chance for differential diagnosis and/or reverse phenotyping of cerebral palsies and many other developmental disorders. Here we present how ES through MPS has identified causative mutations and showed scope for further characterization of the neurodevelopmental disorders. Here we report and discuss four cases (5Y to 12Y) who were diagnosed as CP with mild or moderate ID. Whole Exome libraries were constructed using Exome RDY panel and sequenced on Ion Proton. The reads generated were aligned to hg19 and variants were annotated and prioritized using Ion Reporter. In Cases-I & II a homozygous mutation in PMM2 gene (NM_000303.2, c.710C>T, p.THR237ARG) and a novel nonsense mutation in gene SLC35A2 (NM_005660.2, c.1024C>T, p.Arg342Ter) which are known to cause congenital disorder of glycosylation type Ia (MIM: 212065) and type IIm SOMATIC MOSAIC (MIM: 300896) were identified, respectively. In case-III (two male siblings) ES identified a novel Frame Shift (FS) mutation in APRATAXIN (APTX) gene (NM_001195248.1, c.638delG, p.Arg213fs, rs150886026) which are known to cause ATAXIA-OCULOMOTOR APRAXIA 1; AOA1 (MIM: 208920). Brain imaging in Case-IV is suggestive of Joubert syndrome with hearing loss, we identified a missense mutation in AHI1 gene (NM_001134830.1, c.2023G>A, p.Asp675Asn) and also a nonsense mutation in gene GJB2 (NM_004004.5, c.71G>A, p.Trp24Ter) which explains the hearing impairment in the case. Mutations in cases and parent(s) were confirmed on 3500 Genetic Analyzer revealed Autosomal recessive or X-linked dominant and somatic mosaicism pattern of inheritance. Reverse phenotyping was convincing for Case I & II. Case III phenotype was delineated by the identification of responsible gene /mutation. Complex phenotype of Case IV was characterized as revealed by genotyping. Our work suggests genotype first approach will be beneficial for prompt & precise diagnosis and reverse phenotyping of neurodevelopmental disorders.

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.

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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.222
Threshold uncertainty score0.478

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0010.000
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 head0.023
GPT teacher head0.257
Teacher spread0.234 · 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