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Record W4385185784 · doi:10.1159/000532051

Xp22.33p22.13 Duplication in a Male Patient Carrying a Recombinant X Chromosome Derived from an Inherited Intrachromosomal Insertion

2023· article· en· W4385185784 on OpenAlexaff
Tatiana Mozer Joaquim, Scott David Roy, Clarissa Gondim Picanço de Albuquerque, Carlos Henrique Paiva Grangeiro, Jeremy A. Squire, Maisa Yoshimoto, Lúcia Regina Martelli

Bibliographic record

VenueCytogenetic and Genome Research · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
Canadian institutionsUniversity of AlbertaUniversity of Alberta HospitalAlberta Hospital Edmonton
Fundersnot available
KeywordsBiologyGene duplicationGeneticsFluorescence in situ hybridizationX chromosomeKaryotypeChromosomeCytogeneticsComparative genomic hybridizationRecombinant DNAChromosomal inversionIn situ hybridizationGeneGene expression

Abstract

fetched live from OpenAlex

Intrachromosomal insertions are complex structural rearrangements that are challenging to interpret using classical cytogenetic methods. We report a male patient carrying a recombinant X chromosome derived from a maternally inherited intrachromosomal insertion. The patient exhibited developmental delay, intellectual disability, behavioral disorder, and dysmorphic facial features. To accurately identify the rearrangements in the abnormal X chromosome, additional cytogenetic studies were conducted, including fluorescence in situ hybridization (FISH), multicolor-banding FISH, and array comparative genomic hybridization. The results showed a recombinant X chromosome, resulting in a 13.05 Mb interstitial duplication of segment Xp22.33-Xp22.13, which was inserted at cytoband Xq26.1. The duplicated region encompasses 99 genes, some of which are associated with the patient's clinical manifestations. We propose that the combined effects of the Xp-duplicated genes may contribute to the patient's phenotype.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.878
Threshold uncertainty score0.810

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 head0.050
GPT teacher head0.341
Teacher spread0.290 · 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 designBench or experimental
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
Published2023
Admission routes1
Has abstractyes

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