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Record W2970263042 · doi:10.1002/mgg3.954

Gonadal mosaicism of large terminal de novo duplication and deletion in siblings with variable intellectual disability phenotypes

2019· article· en· W2970263042 on OpenAlexaff
Muhammad M. Rahman, K. M. Furkan Uddin, Nesreen K. Al‐Jezawi, Noushad Karuvantevida, Hosneara Akter, Nushrat Jahan Dity, Md. Ashiquir Rahaman, Maksuda Begum, Atikur Rahaman, Md. Abdul Baqui, Zeena Salwa, Serajul Islam, Marc Woodbury‐Smith, Mohammed Basiruzzaman, Mohammed Uddin

Bibliographic record

VenueMolecular Genetics & Genomic Medicine · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomic variations and chromosomal abnormalities
Canadian institutionsHospital for Sick Children
FundersMohammed Bin Rashid University of Medicine and Health SciencesAl Jalila Foundation
KeywordsGeneticsBiologyGene duplicationCopy-number variationLocus (genetics)Segmental duplicationGeneComparative genomic hybridizationCandidate genePhenotypeMicroarrayGenomeGene family

Abstract

fetched live from OpenAlex

BACKGROUND: Intellectual disability (ID) is a complex condition that can impact multiple domains of development. The genetic contribution to ID's etiology is significant, with more than 100 implicated genes and loci currently identified. The majority of such variants are rare and de novo genetic mutations. METHODS: We have applied whole-genome microarray to identify large, rare, clinically relevant copy number variants (CNVs). We have applied well-established algorithms for variants call. Quantitative polymerase chain reaction (qPCR) was applied to validate the variants using three technical replicates for each family member. To assess whether the copy number variation was due to balanced translocation or mosaicism, we further conducted droplet digital PCR (ddPCR) on the whole family. We have, as well, applied "critical-exon" mapping, human developmental brain transcriptome, and a database of known associated neurodevelopmental disorder variants to identify candidate genes. RESULTS: Here we present two siblings who are both impacted by a large terminal duplication and a deletion. Whole-genome microarray revealed an 18.82 megabase (MB) duplication at terminal locus (7q34-q36.3) of chromosome 7 and a 3.90 MB deletion impacting the terminal locus (15q26.3) of chromosome 15. qPCR and ddPCR experiments confirmed the de novo origin of the variants and the co-occurrence of these two de novo events among the siblings, but their absence in both parents, implicates an unbalanced translocation that could have mal-segregated among the siblings or a possible germline mosaicism. These terminal events impact IGF1R, CNTNAP2, and DPP6, shown to be strongly associated with neurodevelopmental disorders. Detailed clinical examination of the siblings revealed the presence of both shared and distinct phenotypic features. CONCLUSIONS: This study identified two large rare terminal de novo events impacting two siblings. Further phenotypic investigation highlights that even in the presence of identical large high penetrant variants, spectrum of clinical features can be different between the siblings.

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)0.001
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: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
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 head0.004
GPT teacher head0.218
Teacher spread0.214 · 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

Citations18
Published2019
Admission routes1
Has abstractyes

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