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Record W1888320884 · doi:10.1055/s-0037-1613063

Aberrant Splicing and Premature Termination of Transcription of the FVIII Gene as a Cause of Severe Canine Hemophilia A: Similarities with the Intron 22 Inversion Mutation in Human Hemophilia

2002· article· en· W1888320884 on OpenAlexafffundabout
Christine Hough, Seiki Kamisue, Cherie Cameron, Colleen Notley, Shawn Tinlin, Alan R. Giles, David Lillicrap

Bibliographic record

VenueThrombosis and Haemostasis · 2002
Typearticle
Languageen
FieldMedicine
TopicHemophilia Treatment and Research
Canadian institutionsQueen's University
FundersBayer CanadaCanadian Hemophilia SocietyCanadian Blood ServicesCanada Research ChairsHeart and Stroke Foundation of Canada
KeywordsIntronRNA splicingGeneMedicineGeneticsMutationTranscription (linguistics)BiologyRNA

Abstract

fetched live from OpenAlex

We have identified the causative mutation in the hemophilia A dog colony at Queen's University, Canada and have observed a striking similarity with the intron 22 inversion found in approximately 45% of severely affected hemophilia A patients. The canine hemophilia A phenotype arises from aberrant splicing and premature termination of transcription of the FVIII gene, resulting in a polyadenylated transcript lacking exons distal to 22 and terminating with a novel sequence element (NSE). In dogs and other species including humans, this NSE is present in low copy number. One copy of these sequences in the canine genome is within intron 22 and reveals differences in the hybridization banding patterns between normal and hemophilic DNA, suggestive of a large genomic rearrangement. The mutation mechanism may not be uncommon, as identical mutant transcripts were isolated from two hemophilia A littermates that are unrelated to the Queen's colony and from hemophiliac dogs in the colony at Chapel Hill.

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)0.000
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.045
GPT teacher head0.296
Teacher spread0.251 · 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

Citations83
Published2002
Admission routes3
Has abstractyes

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