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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 OpenAlexvenueno aff
Desaraju Suresh Bhargav, N. Sreedevi, Srinivas Kovvali

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.

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.002

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

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 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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Citations0
Published2017
Admission routes1
Has abstractyes

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