A translocation t(6;7)(p11–p12;q22) associated with autism and mental retardation: localization and identification of candidate genes at the breakpoints
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVES: Our aim is to use information from cytogenetic anomalies to identify candidate genes for autism. METHODS: We have identified a male patient with mental retardation and autism who has a balanced translocation involving chromosomes 6 and 7, described as t(6;7)(p11-p12;q22). This translocation was inherited from an apparently normal father. RESULTS: Using fluorescence in situ hybridization, we have localized the breakpoints on both the chromosomes; and using bioinformatic genomic analysis, we have identified a number of potential candidate genes at these loci. These include the neural pentraxin 2 gene, NPTX2, and a novel gene encoding a transmembrane protein, TMEM130, which contains a polycystic kidney domain on 7q22. On 6p12 the breakpoint directly interrupts isoform 2 of the human homologue of the mouse dystonin gene. We also performed a 250 K single nucleotide polymorphism microarray analysis and comparative genomic hybridization using a bacterial artificial chromosome microarray to look for minor genomic deletions or duplications in the proband's DNA. The single nucleotide polymorphism microarray analysis identified a number of copy number variants, remote from the translocation breakpoints, containing potential candidate genes. CONCLUSION: It is conceivable that one or more of the copy number variant regions or either of the two breakpoint locations and the dystonin gene, in particular, may be a new locus for a form of mental retardation, which may also include autistic features.
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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 it