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Record W1967305517 · doi:10.1515/cclm.2009.010

A novel large deletion and three polymorphisms in the FECH gene associated with erythropoietic protoporphyria

2008· article· en· W1967305517 on OpenAlexaff
Chumei Li, Elena Di Pierro, Valentina Brancaleoni, Maria Domenica Cappellini, David P. Steensma

Bibliographic record

VenueClinical Chemistry and Laboratory Medicine (CCLM) · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPorphyrin Metabolism and Disorders
Canadian institutionsMcMaster University
Fundersnot available
KeywordsErythropoietic protoporphyriaFerrochelataseGeneticsHaplotypeAlleleBiologyGenePhenotypeMutationProtoporphyrinHemeEnzyme

Abstract

fetched live from OpenAlex

BACKGROUND: Erythropoietic protoporphyria (EPP) is known to be inherited in both autosomal dominant and recessive manners. A deleterious mutation in conjunction with a polymorphic wild type allele underlies the molecular basis of the dominant type. METHODS: We report a patient with EPP who was found to have a novel large deletion [c.1-9628_67+2871del12566 bp] and three polymorphisms [c.1-251A>G, c.68-23C>T and c.315-48T>C] in trans to the deletion in his ferrochelatase (FECH) gene. RESULTS: The combination of the deletion and the polymorphisms reduced his FECH activity level to 20% of control. CONCLUSIONS: It is conceivable that a homozygous state for this polymorphic haplotype might be sufficient to produce clinical phenotype of EPP. The boundary between autosomal dominant and autosomal recessive inheritance may not always be distinct.

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 score0.006

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 science0.0000.000
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 head0.024
GPT teacher head0.287
Teacher spread0.263 · 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

Citations9
Published2008
Admission routes1
Has abstractyes

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