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Record W4367839824 · doi:10.1002/ajmg.a.63224

Uniparental disomy of multiple chromosomes in two cases with a complex phenotype

2023· article· en· W4367839824 on OpenAlexaff
Katarzyna Polonis, Jaime L. Lopes, Huong Cabral, Holly E. Babcock, Laura Kline, Kaylee M. Ruiz, Stuart Schwartz, Christina Grant, Linda Hasadsri, Ross Rowsey, Nicole L. Hoppman

Bibliographic record

VenueAmerican Journal of Medical Genetics Part A · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Syndromes and Imprinting
Canadian institutionsWomen's Health Research Institute
Fundersnot available
KeywordsUniparental disomyBiologyGeneticsImprinting (psychology)AneuploidyGenomic imprintingPhenotypeChromosomeTrisomyKaryotypeDNA methylationGene

Abstract

fetched live from OpenAlex

Uniparental disomy (UPD) is the inheritance of both chromosomal homologs from one parent. Depending on the chromosome involved and the parental origin, UPD may result in phenotypic abnormalities due to aberrant methylation patterns or unmasking recessive conditions in isodisomic regions. UPD primarily originates from somatic rescue of a single meiotically-derived aneuploidy, most commonly a trisomy. Double UPD is exceedingly rare and triple UPD has not been previously described. Here, we report two unrelated clinical cases with UPD of multiple chromosomes; an 8-month-old male with maternal isodisomy of chromosome 7 and paternal isodisomy of chromosome 9, and a 4-week-old female with mixed paternal UPD for chromosomes 4, 10, and 14. These cases also demonstrate that although extremely rare, the detection of AOH on two or more chromosomes may warrant additional clinical and laboratory investigation such as methylation and STR marker analysis, especially when involving chromosomes known to be associated with imprinting 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)0.000
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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.308
Teacher spread0.285 · 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 designCase report
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

Citations4
Published2023
Admission routes1
Has abstractyes

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Same venueAmerican Journal of Medical Genetics Part ASame topicGenetic Syndromes and ImprintingFrench-language works237,207