Characterization of a de novo translocation t(5;18)(q33.1;q12.1) in an autistic boy identifies a breakpoint close to<i>SH3TC2</i>,<i>ADRB2</i>, and<i>HTR4</i>on 5q, and within the desmocollin gene cluster on 18q
Bibliographic record
Abstract
We have recently reported the identification of a de novo balanced translocation t(5;18)(q33.1;q12.1) in a boy with autism. Here we discuss the identification of the breakpoints on chromosomes 5 and 18, and subsequent genomic and candidate gene analyses. The 18q breakpoint lies between desmocollin genes DSC1 and DSC2. The chromosome 5 breakpoint lies at the 3' end of the SH3TC2 gene and distal to beta-adrenergic receptor gene ADRB2 and serotonin receptor gene HTR4. We hypothesized that the transcription of one (or more) of these genes is affected by the translocation by position effect. Looking at allele-specific gene expression for the genes at the 5q locus, we were able to determine that ADRB2 is expressed from both the normal and derivative alleles. Due to the lack of expression in available tissues or lack of available informative transcribed SNPs, we were unable to exclude the involvement of SH3TC2 and HTR4 due to position effect. However, we determined that both DSC1 and DSC2 are only transcribed from the normal chromosome 18 in lymphocytes from the proband. This monoallelic expression of DSC2 may put the patient at risk for arrythmogenic right ventricular cardiomyopathy. Desmocollin genes encode cell-adhesion molecules, and are also highly expressed in brain regions, and thus may also be important for normal neuronal functioning. While a role for SH3TC2, ADRB2, and HTR4 as putative candidate genes for autism cannot be discounted, a role for the desmocollin genes at the 18q breakpoint should also be considered.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".