Lack of association of SLC22A4, SLC22A5, SLC9A3R1 and RUNX1 variants in psoriatic arthritis
Bibliographic record
Abstract
Memorial University of Newfoundland, 1Genetics and Genomic Biology, Hospital for Sick Children, Department of Public Health Sciences, University of Toronto, 2Toronto Western Hospital, University of Toronto, Canada Sir, Psoriatic arthritis (PsA) is an inflammatory arthritis associated with various extra-articular features, including psoriasis (which is seen in the majority of subjects with PsA) and, occasionally, inflammatory bowel disease. Recently, there have been major advances in the genetics of psoriasis (SLC9A3R1) [1], rheumatoid arthritis (SLC22A4 and RUNX1) [2], and Crohn's disease (a haplotype of SNPs in SLC22A4 and SLC22A5) [3]. As SLC22A4, SLC22A5, SLC9A3R1 and RUNX1 have a proposed role in chronic inflammatory disease, we set out to examine the association of these genes with PsA in the Newfoundland founder population. This study was approved by the local ethics committee at Memorial University of Newfoundland. Informed consent was obtained from all PsA patients, who were all from the Newfoundland founder population. PsA was diagnosed as an inflammatory arthritis in patients with psoriasis, in the absence of other aetiologies for inflammatory arthritis. The control subjects were also ascertained from Newfoundland and were all unrelated.
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 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 | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.010 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".