Mutation screening of <i>FOXP2</i> in individuals diagnosed with autistic disorder
Bibliographic record
Abstract
Although it is well established that genetic factors play an important role in the etiology of autistic disorder (AD), no specific genes have as yet been implicated. Genetic epidemiological data, particularly the sharp fall in concordance rates from monozygotic to dizygotic twins, indicate that the mode of transmission of this disorder is complex and may involve several genes. The 7q31 locus has been repeatedly linked to AD, suggesting that this chromosomal region is likely to harbor a susceptibility gene for AD. Recently, variations in the FOXP2 gene were reported to be responsible for a severe speech and language disorder. Because of the chromosomal location of FOXP2 (7q31) and the putative implication of the 7q31 region both in autistic and in language disorders (a feature of AD), it has been hypothesized that FOXP2 may be implicated in the pathophysiology of AD. To test this hypothesis, we screened the FOXP2 gene coding sequence for mutations in subjects diagnosed with AD and in normal controls. We identified four silent polymorphisms that were equally distributed between patients and controls. Using an intra-family association design, we identified no transmission disequilibrium in any of the four identified alleles, suggesting that the FOXP2 gene does not play a significant role in AD.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".