Identification of Novel Genes Involved in Migraine
Bibliographic record
Abstract
BACKGROUND: Migraine is a common form of headache affecting about 12% of the population. Genetic studies in the rare form of familial hemiplegic migraine have identified mutations in 3 genes (CACNA1A, ATP1A2, and SCN1A) encoding proteins involved in ion homeostasis and suggesting that other such genes may be involved in the more common forms of migraine. OBJECTIVES: To test this proposition, the coding regions of 150 brain-expressed genes involved in ion homeostasis (ion channels, transporters, exchangers, and accessory subunits) were systematically screened to identify DNA variants in a group of 110 migraine probands and 250 control samples. METHODS: DNA variants were analyzed using a number of complementary in silico approaches. RESULTS: Several genes encoding potassium channels, including KCNK18, KCNG4, and KCNAB3, were identified as potentially linked to migraine. In situ hybridization studies of the mouse Kcnk18 ortholog show that it is developmentally expressed in the trigeminal and dorsal root ganglia, further supporting the involvement of this gene in migraine pathogenesis. CONCLUSIONS: Our study is the first to link variations in these K(+) channel genes to migraine, thus expanding on the view of migraine as a channelopathy and providing potential molecular targets for further study and therapeutic applications.
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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 | 0.005 | 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) | 0.000 | 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".