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P0915 MECONIUM ILEUS IN CYSTIC FIBROSIS NEONATES IS ASSOCIATED WITH POLYMORPHIC MARKERS IN THE CALCIUM-ACTIVATED POTASSIUM CHANNEL (KCNN4) GENE

2004· article· en· W2062166706 on OpenAlexaffabout
Julian Zielenski, D. Markiewicz, Xiaowei Yuan, Millan S. Patel, Liang Sun, Isabel Aznarez, L.-C. Tsui

Bibliographic record

VenueJournal of Pediatric Gastroenterology and Nutrition · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDigestive system and related health
Canadian institutionsUniversity of TorontoHospital for Sick Children
Fundersnot available
KeywordsMeconium IleusCystic fibrosisAlleleMedicineGeneticsGenetic markerTransmission disequilibrium testGenotypeHaplotypeLocus (genetics)Internal medicineBiologyPathologyGeneMeconiumFetusPregnancy

Abstract

fetched live from OpenAlex

Introduction: Cystic Fibrosis (CF) is an autosomal, recessive disease most common among Caucasians and caused by mutations in the cystic fibrosis transmembrane conductance regulator gene. Genotype-phenotype studies in CF suggest involvement of secondary genes (CF modifiers) in the pathophysiology of the disease. One of the early CF manifestations, meconium ileus (MI), is neonatal bowel obstruction present in a subset (15–20%) of CF patients. Relatively high concordance of MI among CF siblings suggests involvement of secondary genetic determinant(s) in this clinical feature. Our previous linkage studies identified the Cystic Fibrosis Modifier locus 1 (or CFM1) for MI on human chromosome 19q13. Methods: To assess association between polymorphic markers in the 19q13 chromosome region and MI trait in CF trios, family based association analysis using Transmission Disequilibrium Test (TDT) with the Pearson chi-square test has been performed. Results: Analyses of 18 markers in 19q13 revealed allelic association with MI for two markers: STR1 (D19S217 in the KCNN4 gene) and STR2 (D19S712 in the LOC284348 gene). A total of 398 pancreatic insufficient CF trios with or without MI were genotyped for these markers and analyzed for TDT. Both STRs showed a biased (60–65%) transmission of specific alleles (#4 in STR1 and #5 in STR2) to CF patients in the MI group and similar 59–61% non-transmission of the same alleles in the non-MI group. TDT showed significant association for both STRs (p=0.0013 and p=0.0031; respectively). Combined marker analysis also revealed a significant association, suggesting a chromosome background with #4 of STR1 and #5 of STR2 might carry a gene variant of CFM1 that would increase the risk of MI in CF patients. Analysis of 5 regional SNP markers in our study population revealed two most common haplotypes with the SNP core _ _ _ 2 1 1 _ (37%; haplotype A) and _ _ _ 1 2 2 _ (41%; haplotype B). Increased TDT association was detected for STR1(#4) on haplotype A with MI (p=0.0002). Conclusion: Since no TDT association was detected for haplotype A itself, we reason that the CFM1 gene mutation contributing to MI is probably present on chromosomes carrying the allele 4 of the D19S217 marker on the haplotype A background and that subsequent mutation analysis should be performed on a subset of CF patients carrying these chromosomes. The KCNN4 gene encoding intermediate conductance Ca-dependent potassium channel is currently the strongest candidate for the CFM1. Reference(S): We would like to thank the CF Modifier Collaborative Group for sharing samples and clinical data and the Canadian Cystic Fibrosis Foundation for support.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.072
Threshold uncertainty score0.438

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.223
Teacher spread0.216 · 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 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

Citations4
Published2004
Admission routes2
Has abstractyes

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