Association of nuclear factor-kappaB in psoriatic arthritis.
Bibliographic record
Abstract
OBJECTIVE: To examine the association of single nucleotide polymorphisms (SNP) in the NFKB1 gene, as well as 2 genes in the nuclear factor (NF)-kappaB functional complex (RelA and NFKBIA), in patients with psoriatic arthritis (PsA) from Newfoundland. METHODS: Patients with PsA and controls were genotyped for one 4-base insertion/deletion and 5 SNP in NFKB1, 4 SNP in RelA, and 7 SNP in NFKBIA by time-of-flight mass spectrometry, using the Sequenom platform. Chi-square analysis was used to test the single locus associations between SNP in the NF-kappaB complex and PsA. Associations between multi-locus haplotypes and case or control status were tested using the software PHASE. RESULTS: Two hundred and twenty-four patients with PsA (52% male) and 88 ethnically matched controls (64% male) were genotyped. No association was noted with any of the SNP tested for the single locus associations in NFKB1, RelA, and NFKBIA or with multi-locus haplotypes. In particular, the allele frequency for the NFKB1 -94delATTG was 41.7% in cases and 41.6% in the controls (p = 0.97). CONCLUSION: No association between the NFKB1 -94 ins/delATTG promoter polymorphism or with other NF-kappaB complex SNP in patients with PsA from Newfoundland was observed.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.003 | 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".