Parent-of-origin effects at the major histocompatibility complex in multiple sclerosis
Bibliographic record
Abstract
Multiple sclerosis (MS) susceptibility is characterized by maternal parent-of-origin effects and increased female penetrance. In 7796 individuals from 1797 MS families (affected individuals n = 2954), we further implicate epigenetic modifications within major histocompatibility complex (MHC) class II haplotypes as mediating these phenomena. Affected individuals with the main MS-associated allele HLA-DRB1*15 had a higher female-to-male ratio versus those lacking it (P = 0.00023). Distorted transmission of MHC haplotypes by both parent-of-origin and gender-of-affected-offspring was most evident in the maternal HLA-DRB1*15 transmission to affected female offspring (OR = 3.31, 95% CI = 2.59-4.24) contrasting with similarity among maternal transmission to affected male offspring (OR = 2.13, 95% CI = 1.44-3.14), paternal transmissions to affected female (OR = 2.14, 95% CI = 1.64-2.78) and male (OR = 2.16, 95% CI = 1.37-3.39) offspring. Significant parent-of-origin effects were observed in affected females (maternal: P = 9.33 x 10(-42); paternal: P = 1.12 x 10(-15); comparison: P = 0.0014), but not in affected males (maternal: P = 6.70 x 10(-8); paternal: P = 2.54 x 10(-6); comparison: P = 0.95). Conditional logistic regression analysis revealed further differential risk of HLA diplotypes. Risks for HLA-DRB1*15 and likely for other HLA-DRB1 haplotypes were restricted by (i) parent-of-origin, (ii) gender-of-offspring and (iii) trans epistasis in offspring. These findings may illuminate the gender bias characterizing autoimmunity overall. They raise questions about the concept of restricted antigen presentation in autoimmunity and suggest that gender-specific epigenetic interactions may be the driving forces behind the MHC haplotypic associations. Haplotype-specific epigenetic modifications at MHC class II and their decay appear to be at the heart of MS pathogenesis and inheritance of risk, providing the focus for gene-environment interactions that determine susceptibility and resistance.
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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 | 0.001 | 0.004 |
| 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) | 0.003 | 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".