Genetic Studies of Ankylosing Spondylitis in Koreans Confirm Associations with <i>ERAP1</i> and 2p15 Reported in White Patients
Bibliographic record
Abstract
OBJECTIVE: Investigators from the Australo-Anglo-American Spondyloarthritis Consortium have reported additional genes associated with ankylosing spondylitis (AS) susceptibility including IL1R2, ANTXR2, and gene deserts at 2p15 and 21q22. We evaluated these new candidate genes in a large cohort of Korean patients with AS. METHODS: A group of 1164 patients with AS and 752 healthy controls were enrolled for our study. Eight single-nucleotide polymorphisms (SNP) were analyzed to define genetic association with AS by MassARRAY system. RESULTS: Significant positive associations of AS with endoplasmic reticulum aminopeptidase 1 SNP, rs27037 (p = 1.31 × 10(-4)), and rs27434 (p = 4.59 × 10(-6)), were observed. The rs10865331 of gene desert at 2p15 also showed a significant association with AS (p = 4.63 × 10(-5)). CONCLUSION: This is the first confirmation in a nonwhite population that genetic polymorphisms of rs27037, rs27434, and rs10865331 are associated with AS, implicating common pathogenetic mechanisms in Korean and white patients with AS.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".