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Record W2328032534 · doi:10.1017/s0317167100015882

Array CGH Analysis and Developmental Delay: A Diagnostic Tool for Neurologists

2013· article· en· W2328032534 on OpenAlexafffundvenue
Florence H. D. Cameron, Jie Xu, Jinkyu Jung, C. Prasad

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomic variations and chromosomal abnormalities
Canadian institutionsChildren’s Health Research InstituteAlberta Health ServicesLondon Health Sciences CentreWestern University
FundersU.S. National Library of MedicineUniversity of TorontoJohns Hopkins University
KeywordsComparative genomic hybridizationBiologyCopy-number variationGeneticsFluorescence in situ hybridizationGlobal developmental delayUniparental disomyPopulationEtiologyChromosomeMedicinePathologyKaryotypePhenotypeGeneGenome

Abstract

fetched live from OpenAlex

Developmental delay occurs in 1-3% of the population, with unknown etiology in approximately 50% of cases. Initial genetic work up for developmental delay previously included chromosome analysis and subtelomeric FISH (fluorescent in situ hybridization). Array Comparative Genomic Hybridization (aCGH) has emerged as a tool to detect genetic copy number changes and uniparental disomy and is the most sensitive test in providing etiological diagnosis in developmental delay. aCGH allows for the provision of prognosis and recurrence risks, improves access to resources, helps limit further investigations and may alter medical management in many cases. aCGH has led to the delineation of novel genetic syndromes associated with developmental delay. An illustrative case of a 31-year-old man with long standing global developmental delay and recently diagnosed 4q21 deletion syndrome with a deletion of 20.8 Mb genomic interval is provided. aCGH is now recommended as a first line test in children and adults with undiagnosed developmental delay and congenital anomalies. Puce d'hybridation génomique comparative et retard de développement : un outil diagnostic pour les neurologues. Le retard de développement survient chez 1 à 3% de la population et son étiologie est inconnue chez à peu près 50% des cas. L'évaluation génétique initiale pour un retard de développement incluait antérieurement une analyse chromosomique et une analyse par FISH (hybridation in situ en fluorescence) de régions subtélomériques. La puce d'hybridation génomique comparative (CGHa) est devenue un outil de détection des changements du nombre de copies géniques ainsi que de la disomie uniparentale et elle est le test le plus sensible pour fournir un diagnostic étiologique dans le retard de développement. Le CGHa permet d'offrir un pronostic et un risque de récurrence, améliore l'accès aux ressources, aide à limiter les évaluations et peut modifier le traitement médical dans bien des cas. Le CGHa a mené à la définition de nouveaux syndromes génétiques associés à un retard de développement. À titre d'exemple, nous décrivons le cas d'un homme âgé de 31 ans qui présentait un retard de développement global depuis longtemps et chez qui un syndrome associé à une délétion 4q21 a été diagnostiqué récemment, soit une délétion de 20,8 Mb. Le CGHa est maintenant recommandé comme test de première ligne chez les enfants et les adultes présentant un retard de développement et des anomalies congénitales.

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)0.001
metaresearch head score (Gemma)0.004
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
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.003

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 head0.015
GPT teacher head0.228
Teacher spread0.213 · 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".

Quick stats

Citations1
Published2013
Admission routes3
Has abstractyes

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Same venueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences NeurologiquesSame topicGenomic variations and chromosomal abnormalitiesFrench-language works237,207