Genetic analysis of autoimmune regulator haplotypes in alopecia areata
Bibliographic record
Abstract
Alopecia areata is an immune-mediated disorder, occurring with the highest observed frequency in the rare recessive autoimmune polyendocrinopathy-candidiasis-ectodermal dystrophy (APECED) syndrome caused by mutations of the autoimmune regulator (AIRE) gene on chromosome 21q22.3. We have previously detected association between alopecia areata and a single nucleotide polymorphism (SNP) in the AIRE gene in patients without APECED, and we now report the findings of an extended examination of the association of alopecia areata with haplotype analysis including six SNPs in the AIRE gene: C-103T, C4144G, T5238C, G6528A, T7215C and T11787C. In Caucasian groups of 295 patients and 363 controls, we found strong association between the AIRE 7215C allele and AA [P = 3.8 x 10(-8), OR (95% CI): 2.69 (1.8-4.0)]. The previously reported association between AA and the AIRE 4144G allele was no longer significant on correction for multiple testing. The AIRE haplotypes CCTGCT and CGTGCC showed a highly significant association with AA [P = 6.05 x 10(-6), 9.47 (2.91-30.8) and P = 0.001, 3.51 (1.55-7.95), respectively]. To select the haplotypes most informative for analysis, we tagged the polymorphisms using SNPTag software. Employing AIRE C-103T, G6528A, T7215C and T11787C as tag SNPs, two haplotypes were associated with AA; AIRE CGCT and AIRE CGCC [P = 3.84 x 10(-7), 11.40 (3.53-36.9) and P = 3.94 x 10(-4), 2.13 (1.39-3.24) respectively]. The AIRE risk haplotypes identified in this study potentially account for a major component of the genetic risk of developing alopecia areata.
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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 | 0.001 | 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) | 0.002 | 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".