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Record W2082253768 · doi:10.1002/humu.22019

Improved diagnostics lead to identification of three new patients with congenital disorder of glycosylation-Ip

2011· article· en· W2082253768 on OpenAlexaff
Christian Thiel, Nina Rind, Diana Popovici, Georg F. Hoffmann, Kristen Hanson, Robert L. Conway, Craig R. Adamski, Elizabeth Butler, Rhonda Scanlon, Marie Lambert, N. Apeshiotis, Charlotte Thiels, Gert Matthijs, Christian Körner

Bibliographic record

VenueHuman Mutation · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGlycosylation and Glycoproteins Research
Canadian institutionsCentre Hospitalier Universitaire Sainte-Justine
FundersDeutsche Forschungsgemeinschaft
KeywordsBiologyGlycosylationIdentification (biology)Lead (geology)Computational biologyBioinformaticsGeneticsEcology

Abstract

fetched live from OpenAlex

Congenital disorders of glycosylation (CDG) comprise a clinically and biochemically heterogeneous group of monogenetic-inherited, multisystemic diseases that affect the biosynthesis of N- and/or O-glycans linked to glycoconjugates. Recently, we identified the first patient with a defect in the cytosolic-orientated GDP-mannose:Man(3-4) GlcNAc(2)-PP-dolichol alpha-1,2-mannosyltransferase (ALG11), who presented an accumulation of shortened dolichol-linked oligosaccharides leading to CDG-Ip (ALG11-CDG). Here we describe an improved metabolic labeling method that allowed the identification of three new CDG-Ip cases that were missed so far in routine diagnostics. Although all CDG-Ip patients carry different mutations in the ALG11 gene, they share a variety of clinical syndromes like an unremarkable prenatal period followed by developmental delay, psychomotor, and mental retardation, strabismus convergens and seizures occurring in the first year of life.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.442
Threshold uncertainty score0.331

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 head0.020
GPT teacher head0.264
Teacher spread0.244 · 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 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

Citations36
Published2011
Admission routes1
Has abstractyes

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