The establishment of a predictive mutational model of the forkhead domain through the analyses of FOXC2 missense mutations identified in patients with hereditary lymphedema with distichiasis
Bibliographic record
Abstract
The FOX family of transcription factor genes is an evolutionary conserved, yet functionally diverse class of transcription factors that are important for regulation of energy homeostasis, development and oncogenesis. The proteins encoded by FOX genes are characterized by a conserved DNA-binding domain known as the forkhead domain (FHD). To date, disease-causing mutations have been identified in eight human FOX genes. Many of these mutations result in single amino acid substitutions in the FHD. We analyzed the molecular consequences of two disease-causing missense mutations (R121H and S125L) occurring in the FHD of the FOXC2 gene that were identified in patients with hereditary lymphedema with distichiasis (LD) to test the predictive capacity of a FHD structure/function model. On the basis of the FOXC2 solution structure, both FOXC2 missense mutations are located on the DNA-recognition helix of the FHD. A mutation model based on the parologous FOXC1 protein predicts that these FOXC2 missense mutations will impair the DNA-binding and transcriptional activation ability of the FOXC2 protein. When these mutations were analyzed biochemically, we found that both mutations did indeed reduce the DNA binding and transcriptional capacity. In addition, the R121H mutation affected nuclear localization of FOXC2. Together, these data indicate that these FOXC2 missense mutations are functional nulls and that FOXC2 haploinsufficiency underlies hereditary LD and validates the predictive ability of the FOXC1-based FHD mutational model.
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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) | 0.000 | 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".