Novel genetic markers in the 5′‐flanking region of <i>ANKH</i> are associated with ankylosing spondylitis
Bibliographic record
Abstract
OBJECTIVE: To use a candidate gene approach for the identification of genetic markers that are significantly linked to and associated with ankylosing spondylitis (AS). METHODS: We searched for novel polymorphisms in the ANKH gene (human homolog of the murine progressive ankylosis gene) and genotyped 2 polymorphic sites, one in the 5'-noncoding region and the other in the promoter region of ANKH, using DNA from affected (n = 273) and unaffected (n = 112) individuals from 124 AS families. We used these ANKH and other nearby polymorphisms to perform linkage and family-based association analyses. RESULTS: We identified 2 novel polymorphic sites: one in the 5'-noncoding region of ANKH involving 1-2 copies of an 8-bp repeat (denoted as ANKH-OR), and the other in the promoter region involving different copy numbers of a triplet repeat (denoted as ANKH-TR). ANKH-OR and ANKH-TR were in complete linkage disequilibrium. Five markers (D5S1953, ANKH-TR, ANKH-OR, D5S1954, and D5S1963) were used for both the linkage and association analyses. Multipoint linkage analysis of 124 AS families showed a modest level of significance (nonparametric linkage score 2.15; P = 0.015) at the ANKH region. The contribution of ANKH to AS susceptibility (lambda(s)) was 1.9. A family-based association study on the same AS families revealed that both ANKH-OR allele 1 and ANKH-TR allele 7 were significantly associated with disease, assuming an additive model (for ANKH-OR allele 1, P = 0.03; for ANKH-TR allele 7, P = 0.04). CONCLUSION: Our results indicate that ANKH-OR and ANKH-TR are novel genetic markers that are significantly associated with AS.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".