Genetic Risk Variants for Multiple Sclerosis and Other Loci Linked to Intrathecal Immunoglobulin G Synthesis
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Intrathecal synthesis of immunoglobulin G (IgG) is a key feature of multiple sclerosis (MS) and a prognostic marker for the disease course. Although previous studies identified 2 genetic regions-the major histocompatibility complex (MHC) region on chromosome 6 and the immunoglobulin heavy chain constant (IGHC) locus on chromosome 14-associated with intrathecal IgG synthesis in MS, the genetic underpinnings remain insufficiently understood. METHODS: We conducted a genome-wide association study on intrathecal IgG synthesis using the IgG index to identify individuals with (≥0.7) or without (<0.7) quantitative intrathecal synthesis. We used logistic regression models adjusting for sex, age, and population structure. We performed secondary analyses to examine associations between identified loci and the extent of intrathecal IgG synthesis and the presence and extent of intrathecal immunoglobulin A and M synthesis. We further conducted association analyses for imputed human leukocyte antigen alleles and analyzed whether a higher genetic burden for MS risk-quantified through polygenic risk scores-is associated with intrathecal IgG synthesis. RESULTS: , posterior inclusion probability = 0.92) for the previously reported association signal at the IGHC locus with the extent of intrathecal IgG synthesis. In addition, we demonstrated that a higher genetic burden for MS susceptibility, both within and outside of the MHC region, is associated with a higher likelihood of and a more pronounced intrathecal IgG synthesis. DISCUSSION: with intrathecal IgG synthesis and identified a potential causal variant within the IGHC locus. It further provides evidence for possible effects of known MS risk variants on disease severity through their effect on the intrathecal humoral immune response, a prognostic marker for the disease course.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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 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".