Clinical study of ferredoxin-reductase-related mitochondriopathy: Genotype-phenotype correlation and proposal of ancestry-based carrier screening in the Mexican population
Bibliographic record
Abstract
Purpose: Ferredoxin reductase (FDXR) is a flavoprotein that functions in both iron sulfur cluster biogenesis and steroid biosynthesis pathways in the mitochondria. Not surprisingly, loss of FDXR function causes severe mitochondrial diseases in humans. Although several FDXR-related mitochondriopathy (FRM) cohorts have been reported in the literature, further characterization of the natural history of FRM is warranted. Methods: = 62 cases). Results: Optic atrophy, movement disorder, and developmental delay were frequent findings. Mortality is high, with 18% of patients, often infants, passing from complications. Notably, 25% of cases were homozygous or compound heterozygous for the previously reported p.Arg386Trp "hotspot" variant. Of the obtained ancestry, all but 1 individual heterozygous for the p.Arg386Trp variant was Hispanic, with many reporting Mexican heritage. Utilizing recent large-scale genome sequencing surveys, the carrier frequency of the p.Arg386Trp variant was estimated as 1 of 185 in the Mexican population. Conclusion: Given the high mortality of FRM and carrier frequency of the common variant, consideration of a new approach for population carrier screening and development of therapeutics for affected individuals is needed.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".