A Multi‐center Genome‐wide Association Study of Cervical Dystonia
Bibliographic record
Abstract
ABSTRACT Background Several monogenic causes for isolated dystonia have been identified, but they collectively account for only a small proportion of cases. Two genome‐wide association studies have reported a few potential dystonia risk loci; but conclusions have been limited by small sample sizes, partial coverage of genetic variants, or poor reproducibility. Objective To identify robust genetic variants and loci in a large multicenter cervical dystonia cohort using a genome‐wide approach. Methods We performed a genome‐wide association study using cervical dystonia samples from the Dystonia Coalition. Logistic and linear regressions, including age, sex, and population structure as covariates, were employed to assess variant‐ and gene‐based genetic associations with disease status and age at onset. We also performed a replication study for an identified genome‐wide significant signal. Results After quality control, 919 cervical dystonia patients compared with 1491 controls of European ancestry were included in the analyses. We identified one genome‐wide significant variant (rs2219975, chromosome 3, upstream of COL8A1 , P ‐value 3.04 × 10 −8 ). The association was not replicated in a newly genotyped sample of 473 cervical dystonia cases and 481 controls. Gene‐based analysis identified DENND1A to be significantly associated with cervical dystonia ( P ‐value 1.23 × 10 −6 ). One low‐frequency variant was associated with lower age‐at‐onset (16.4 ± 2.9 years, P ‐value = 3.07 × 10 −8 , minor allele frequency = 0.01), located within the GABBR2 gene on chromosome 9 (rs147331823). Conclusion The genetic underpinnings of cervical dystonia are complex and likely consist of multiple distinct variants of small effect sizes. Larger sample sizes may be needed to provide sufficient statistical power to address the presumably multi‐genic etiology of cervical dystonia. © 2021 International Parkinson and Movement Disorder Society
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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 | 0.000 |
| 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) | 0.001 | 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".