Transmission of class I/II multi-locus MHC haplotypes and multiple sclerosis susceptibility: accounting for linkage disequilibrium
Bibliographic record
Abstract
The human major histocompatibility complex (MHC) class II region is associated with genetic susceptibility to multiple sclerosis (MS). Roles for HLA class I loci have been supported in several case-control studies, but this methodology does not consider the known linkage disequilibrium (LD) between class I and II loci. In 1258 individuals from 294 MS families, we analysed class I and II interactions. Using transmission disequilibrium test and haplotype analyses, we found positive associations between MS and several HLA-DRB1*15-HLA-A haplotypes including HLA-DRB1*15-HLA-A*02 (P = 2.41 x 10(-5)) and -HLA-A*03 (P = 8.42 x 10(-6)) and several HLA-DRB1*15-HLA-B haplotypes including HLA-DRB1*15-HLA-B*07 (P = 2.23 x 10(-10)). HLA-DRB1*15 haplotypes divergent for reported HLA-A allelic associations were equally over-transmitted, illustrating no detectable effect of HLA-A or -B alleles in cis on susceptibility. HLA-A and -B alleles on haplotypes not bearing HLA-DRB1*15 were not over-transmitted. Similarly, general over-transmission of HLA-DRB1*15 haplotypes was independent of the HLA-B allele present. Furthermore, HLA-B*07 haplotypes from HLA-DRB1*X-HLA-B*X/HLA-DRB1*X-HLA-B*07 heterozygous parents were transmitted per random expectation giving no indication of HLA-B independence or trans complementation of HLA-DRB1*15 by HLA-DRB1*X-HLA-B*07 haplotypes. These results imply that many reports of class I allelic associations in MS are class II dependent, secondary to LD with class II loci. The lack of independent class I associations suggests that virus-related class I-antigen complexes are not T-cell targets in MS. The inability to replicate confirmed case-control associations highlights the importance of family-based analyses. The frequency of allelic associations not being replicated emphasizes the requirement for constructing multi-locus haplotypes in dissecting associations in regions of tight LD.
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 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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".