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Record W2087233627 · doi:10.1002/ajmg.10367

Novel mutation in the Δ‐sterol reductase gene in three Lebanese sibs with Smith‐Lemli‐Opitz (RSH) syndrome

2002· article· en· W2087233627 on OpenAlexaff
Marjan M. Nezarati, Judith Loeffler, Grace H. Yoon, Linda MacLaren, Ernest Fung, Floyd F. Snyder, Gerd Utermann, Gail E. Graham

Bibliographic record

VenueAmerican Journal of Medical Genetics · 2002
Typearticle
Languageen
FieldMedicine
TopicCholesterol and Lipid Metabolism
Canadian institutionsUniversity of CalgaryAlberta Children's HospitalSickKids FoundationHospital for Sick Children
Fundersnot available
KeywordsSmith–Lemli–Opitz syndromeSterolGeneticsMutationReductaseGeneBiologyEndocrinologyInternal medicineMedicine7-Dehydrocholesterol reductaseCholesterolEnzymeBiochemistry

Abstract

fetched live from OpenAlex

The Smith-Lemli-Opitz syndrome (SLOS), or RSH syndrome, is a well-characterized multiple congenital anomalies/mental retardation syndrome. The phenotype has been redefined to include mildly affected individuals with minor anomalies and developmental delay, and severe malformations with pre- and perinatal mortality. The condition is due to the deficient activity of the enzyme 7-dehydrocholesterol (7-DHC) reductase [Shefer et al., 1995: J Clin Invest 96:1779-1785], and the gene has been mapped to chromosome 11q13 [Moebius et al., 1998: Proc Natl Acad Sci USA 95:1899-1902]. We describe here a consanguineous family of Syrian-Lebanese ancestry with three sibs affected with SLOS: two with a mild variant, while the other had severe disease and died in the first year of life. Mutation analysis demonstrated a novel mutation in the DHCR7 gene, present in homozygous form in the two affected individuals available for testing, and heterozygous in the parents. The wide intrafamilial variation of clinical severity in these three sibs is an important finding in SLOS.

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)0.002
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 score0.007
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.021
GPT teacher head0.266
Teacher spread0.245 · 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

Citations14
Published2002
Admission routes1
Has abstractyes

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Same venueAmerican Journal of Medical GeneticsSame topicCholesterol and Lipid MetabolismFrench-language works237,207