A single-cell eQTL atlas of the human cerebellum reveals vulnerability of oligodendrocytes in essential tremor
Bibliographic record
Abstract
Abstract Essential tremor (ET) is a movement disorder characterized by an upper-limb postural and action tremor. It is one of the most common neurological disorders, affecting 1% of the worldwide population. Despite strong evidence for genetic factors driving the aetiology of ET, the underlying pathophysiology remains poorly understood. To understand the effects of genetic risk factors in ET on the cerebellum, the brain region thought to be affected by the disease, we built a population-scale single-cell atlas of the human cerebellar cortex comprised of over 1 million cells from 109 individuals. Using single-cell expression quantitative trait loci and mendelian randomization, we found evidence of ET-associated variants in the BACE2 locus causally linked to its downregulation in cerebellar oligodendrocytes. We highlight a genetically vulnerable population of BACE2- expressing immature oligodendrocytes, suggestive of demyelination. We also find dysfunctional processes affecting interactions between Golgi cells, Purkinje layer interneurons, and oligodendrocytes in ET. Our study suggests a crucial role for cerebellar oligodendrocytes in the pathogenesis of ET.
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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 | 0.000 |
| 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) | 0.003 | 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".