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Record W2036374990 · doi:10.1002/pd.1735

Prenatal diagnosis of Smith‐Lemli‐Opitz syndrome (SLOS) by <i>DHCR7</i> mutation analysis

2007· article· en· W2036374990 on OpenAlexaff
John S. Waye, Barry Eng, Małgorzata J.M. Nowaczyk

Bibliographic record

VenuePrenatal Diagnosis · 2007
Typearticle
Languageen
FieldMedicine
TopicCholesterol and Lipid Metabolism
Canadian institutionsMcMaster UniversityHamilton Health SciencesHamilton Regional Laboratory Medicine Program
Fundersnot available
KeywordsSmith–Lemli–Opitz syndromeAmniotic fluidPrenatal diagnosisChorionic villiChorionic villus samplingMutationFetusPregnancyBiologyMedicineGene mutationObstetricsReductaseGeneticsGene7-Dehydrocholesterol reductasePhysiologyEnzymeBiochemistry

Abstract

fetched live from OpenAlex

OBJECTIVES: We review our experience using mutation analysis of the DHCR7 gene for prenatal diagnosis of Smith-Lemli-Opitz syndrome (SLOS), an autosomal recessive disorder of endogenous cholesterol biosynthesis caused by deficiency of 7-dehydrocholesterol reductase (DHCR7). METHODS AND RESULTS: Prenatal diagnosis of SLOS was conducted for 21 pregnancies involving 15 families. DNA was isolated directly from amniotic fluid cells or chorionic villus samples (CVS), and the DHCR7 gene was screened for the parental mutations using PCR-ARMS and nucleotide sequencing. Sixteen of the pregnancies were unaffected and five were affected. There have been no incidences of misdiagnosed pregnancies. CONCLUSIONS: DHCR7 mutation is a rapid and reliable method for prenatal diagnosis of SLOS, and provides an alternative to specialized biochemical tests for elevated 7DHC in amniotic fluid or CVS.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
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 head0.009
GPT teacher head0.259
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

Citations24
Published2007
Admission routes1
Has abstractyes

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