KCNN4 Gene Variant Is Associated With Ileal Crohn's Disease in the Australian and New Zealand Population
Bibliographic record
Abstract
OBJECTIVES: Crohn's disease (CD; MIM 266600) is one of the most common forms of inflammatory bowel disease (IBD), and represents a significant burden to health care in developed countries. Our aim was to determine whether a gene in the IBD linkage region on chromosome 19q13, with a role in Paneth cell secretion and T-cell activation, conferred genetic susceptibility to the development of CD. METHODS: In total, 792 CD cases and 1,244 controls of Australian origin (Caucasian) were genotyped for seven single-nucleotide polymorphisms (SNPs) in the gene encoding the intermediate conductance calcium-activated potassium channel protein (KCNN4) at 19q13.2. CD cases were phenotyped using the Montreal classification. The replication set comprised an additional 326 CD cases and 951 population-based Caucasian controls. Analysis of the KCNN4 mRNA transcript was carried out using quantitative reverse transcriptase-PCR. RESULTS: KCNN4 SNP rs2306801 was associated with CD (primary P=0.0008, odds ratio (OR) (95% confidence interval (CI)): 0.76 (0.65-0.89); replication P=0.01, OR (95% CI): 0.77 (0.61-0.97). Stratification by disease location identified the association between SNP rs2306801 and ileal CD (P=0.01). Non-inflamed ileal mucosa from CD patients carrying any of the common disease-predisposing NOD2 variants (R702W, G908R, 1007fs) had significantly reduced levels of KCNN4 mRNA expression (P=0.001). KCNN4 protein expression was detected in Paneth cells, and in T cells in inflamed lamina propria. CONCLUSIONS: Our data implicate the role of KCNN4 in ileal CD. The dual roles of KCNN4 in Paneth cell secretion and T-cell activation and also its nature as a potassium channel make it an important and practical therapeutic target.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".