Molecular Cytogenetics of Autism
Bibliographic record
Abstract
Autism is a neurodevelopmental disorder characterized by clinical, etiologic and genetic heterogeneity. It is often associated with other conditions, such as disorders of the CNS (tuberous sclerosis), developmental delay, attention deficit, epilepsy, and anxiety and mood disorders. Our survey found cytogenetically visible chromosomal anomalies in ∼7.4% (129 / 1749) of autistic patients documented as well as several sub-microscopic variants. Almost every chromosome is affected by numeric or structural aberrations. Among the most consistent cytogenetics findings are fragile X and duplication of maternal 15q11-q13. Molecular cytogenetics, together with genome scans and linkage / association studies, point to ≥22 chromosome regions harbouring putative autism susceptibility genes, such as 2q32, 3q25-q27, 7q31-q35, 15q11-q13, 16p13, Xp22, and Xq13. We hypothesize that there might be at least three types of autism susceptibility genes / mutations that can be (i) specific to an individual patient or family, (ii) in a genetically isolated sub-population and (iii) a common factor shared amongst different populations. The genes / mutations could act alone or interact with other genetic and / or epigenetic or environmental factors, causing autism or related disorders. This review emphasizes the potential of analysing chromosomal rearrangements as a means to rapidly define candidate disease loci for further investigation. To facilitate ongoing research we have established a new database of autism-associated chromosomal anomalies (http: / / tcag.bioinfo. sickkids.on.ca / autism). Keywords: autistic spectrum disorder, hromosome anomalies, molecular cytogenetics, genomics, 7q, 15q
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".