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Haplotype association and mutation analysis of the transglutaminase 1 gene for prenatal exclusion of lamellar ichthyosis

2000· article· en· W2039514336 on OpenAlexaff
Maritta Hellström Pigg, Tobias Gedde‐Dahl, Diane W. Cox, Guttorm Haugen, Niklas Dahl

Bibliographic record

VenuePrenatal Diagnosis · 2000
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSkin and Cellular Biology Research
Canadian institutionsUniversity of Alberta
FundersVetenskapsrådet
KeywordsIchthyosisLamellar ichthyosisHaplotypeGeneticsProbandCompound heterozygosityMutationBiologyCongenital ichthyosisPopulationGenotypeMedicineGene

Abstract

fetched live from OpenAlex

Lamellar ichthyosis (LI) is an autosomal recessive keratinization disorder of the skin. Genetic heterogeneity has been shown for the disease and there is evidence for the involvement of the transglutaminase 1 (TGM1) gene on chromosome 14q11. We have previously identified chromosome 14q11 haplotypes associated with ichthyosis in the Norwegian population. In this paper we describe antenatal exclusion of ichthyosis in two Norwegian families by chromosome 14q11 haplotype association and direct mutation analysis. In one pregnancy, the 11-week old fetus at risk for LI was found to share only one disease-associated haplotype. A subsequent mutation analysis of the TGM1 gene in fetal DNA revealed that the fetus carried a novel 3795A-->T transversion. The affected proband was compound heterozygous for the mutations 3795A-->T and 3239G-->C resulting in an Asp430Val and a Val379Leu, respectively. In another LI family, the 11-week old fetus was found to be heterozygous for the 14q11 haplotype associated with the disease. Subsequent mutation analysis revealed that the fetus was heterozygous for the 2526A-->G transition in the splice site of intron 5 whereas the proband was homozygous for the same mutation. Our results show that haplotyping can be a useful tool for prenatal diagnosis in diseases with genetic heterogeneity.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.265
Threshold uncertainty score0.287

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 head0.008
GPT teacher head0.253
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 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

Citations14
Published2000
Admission routes1
Has abstractyes

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