Association and transmission analysis of the FMR1 IVS10 + 14C‐T variant in autism
Bibliographic record
Abstract
Evidence from the high male to female ratio of individuals with autism as well as suggestive linkage data have implicated the possible involvement of X chromosomal loci in the aetiology of autism. Studies of the FMR1 gene on Xq27 have shown that occasionally individuals, and particularly females, with the [CGG] repeat expansion and methylation mutation may present with autistic symptoms. However, molecular studies suggest that such mutations are not a major cause of autism. Previously, we have screened autism probands for mutations in regions of the FMR1 gene downstream of the [CGG] repeat and identified an intronic variant in the FMR1 gene, IVS10 + 14C-T, which was present at a significantly higher frequency in autistic individuals compared to controls individuals. We have now investigated this variant in a further 136 autism families and 186 control individuals. We have established that the variant is significantly more frequent among East Asian individuals within our affected and control groups (P < 0.0001) and although we observed a trend of higher transmission frequency of the rare allele to affected individuals, there was no significant evidence in either family-based or case/control association studies for this variant in autism (P > 0.05).
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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".