Multiple sclerosis progression and galanin receptor GALR2: is there evidence for a link?
Bibliographic record
Abstract
BACKGROUND: Given the recently proposed role of the rare galanin receptor-2 (GALR2) genes missense mutation (SNP rs61745847) in the etiology of MS, we genotyped rs61745847 in a group of MS patients that was enriched with an unfavorable disease course cases. MATERIALS AND METHODS: Our study cohort consisted of 100 MS patients selected based on their progressive course, high disease progression rate and pediatric onset. To determine the nucleotide sequence of GALR2 gene fragment, surrounding the rs61745847 area, Sanger sequencing of PCR amplicons was performed. RESULTS: No homozygous rs61745847 carrier was found in our cohort, and the region of exon 2 surrounding rs61745847 completely coincided with the reference sequence (Gene Bank NC_000017.11). In agreement with previously published data on Canadian and Brazilian populations of patients, our study of a Russian cohort confirmed the rarity of the rs61745847 variant, including among patients with rapidly progressive MS. CONCLUSIONS: Thus, although structural changes in the GALR2 gene associated with rs61745847 may play a significant role in individual patients carrying this rare mutation, it is unlikely that such changes determine an unfavorable disease course of MS in general.
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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 | 0.003 |
| 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".