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Clinical, biochemical and molecular characterization of peroxisomal diseases in Arabs

2010· article· en· W2168417024 on OpenAlexaff
Ranad Shaheen, OY Al-Dirbashi, ZN Al‐Hassnan, Mohammed Al‐Owain, N Makhsheed, F Basheeri, MZ Seidahmed, Eman Faqih, Hamad Zaidan, Moeen Al-Sayed, Zuhair Rahbeeni, Tarfa Al‐Sheddi, Wesam Kurdi, Nobuyuki Shimozawa, Fowzan S. Alkuraya

Bibliographic record

VenueClinical Genetics · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPeroxisome Proliferator-Activated Receptors
Canadian institutionsChildren's Hospital of Eastern OntarioUniversity of Ottawa
Fundersnot available
KeywordsPhenotypePeroxisomal disorderBiologyComplementationGeneticsAlleleGenotypeGenetic heterogeneityPeroxisomePopulationZellweger syndromeGeneMedicine

Abstract

fetched live from OpenAlex

Shaheen R, Al-Dirbashi OY, Al-Hassnan ZN, Al-Owain M, Makhsheed N, Basheeri F, Seidahmed MZ, Salih MAM, Faqih E, Zaidan H, Al-Sayed M, Rahbeeni Z, Al-Sheddi T, Hashem M, Kurdi W, Shimozawa N, Alkuraya FS. Clinical, biochemical and molecular characterization of peroxisomal diseases in Arabs. Peroxisomes are single membrane-bound cellular organelles that carry out critical metabolic reactions perturbation of which leads to an array of clinical phenotypes known as peroxisomal disorders (PD). In this study, the largest of its kind in the Middle East, we sought to comprehensively characterize these rare disorders at the clinical, biochemical and molecular levels. Over a 2-year period, we have enrolled 17 patients representing 16 Arab families. Zellweger-spectrum phenotype was observed in 12 patients and the remaining 5 had the rhizomelic chondrodysplasia punctata phenotype. We show that homozygosity mapping is a cost-effective strategy that enabled the identification of the underlying genetic defect in 100% of the cases. The pathogenic nature of the mutations identified was confirmed by immunofluorescence and complementation assays. We confirm the genetic heterogeneity of PD in our population, expand the pool of pathogenic alleles and draw some phenotype/genotype correlations.

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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.086
Threshold uncertainty score0.729

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.015
GPT teacher head0.324
Teacher spread0.309 · 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

Citations19
Published2010
Admission routes1
Has abstractyes

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