Increased frequency of DRB1*11:01 in anti–hydroxymethylglutaryl‐coenzyme A reductase–associated autoimmune myopathy
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To investigate the association of anti-hydroxymethylglutaryl-coenzyme A reductase (anti-HMGCR) myopathy with HLA class I and II antigens. METHODS: HLA antigens were determined in 1) 20 white and 8 African American anti-HMGCR patients, 2) 487 white and 167 African American controls, and 3) 51 white subjects with mild self-limited statin intolerance. RESULTS: White anti-HMGCR patients had a higher frequency of the combination HLA-DR11, DQA5, and DQB7 than controls or statin-intolerant subjects (70% versus 17%; odds ratio [OR] 11.7 [95% confidence interval (95% CI) 4.0-35.3], P = 4.1 × 10(-7) and 70% versus 21%; OR 8.3 [95% CI 2.2-33.9], P = 5.4 × 10(-4) , respectively). This combination was not increased in African American anti-HMGCR subjects compared to controls (13% versus 3%; OR 4.6 [95% CI 0.2-53.3], P = 0.2). However, DR11 was increased in African American anti-HMGCR patients compared to controls (88% versus 21%; OR 26.4 [95% CI 3.1-590.3], P = 0.0002). High-resolution mapping showed that 95% with DR11 had DRB1*11:01. DQA1 and DQB6 were less frequent in white anti-HMGCR-positive patients compared to controls (25% versus 65%; OR 0.2 [95% CI 0.1-0.5], P = 5.5 × 10(-4) and 0% versus 45%; OR 0.0 [95% CI 0.0-0.3], P = 2.1 × 10(-5) , respectively). DRB11 was not associated with particular disease features. CONCLUSION: DRB1*11:01 is associated with an increased risk of anti-HMGCR myopathy in whites and African Americans. These findings suggest a mechanistic link between statin exposure, increased HMGCR expression, and the possible presentation of HMGCR-derived peptide(s) by DRB1*11:01.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it