A recurrent <i>SHANK3</i> frameshift variant in Autism Spectrum Disorder
Bibliographic record
Abstract
Abstract Autism Spectrum Disorder (ASD) is genetically complex, but specific copy number variants (CNVs; e.g., 1q21.1, 16p11.2) and genes (e.g., NRXN1, NLGN4 ) have been identified as penetrant susceptibility factors, and all of these demonstrate pleiotropy. Many ASD-associated CNVs are, in fact, genomic disorder loci where flanking segmental duplications lead to recurrent deletion and duplication events of the same region in unrelated individuals, but these lesions are large and involve multiple genes. To identify opportunities to establish a more specific genotype and phenotype correlation in ASD, we searched genomic data, and the literature, for recurrent predicted damaging sequence-level variants affecting single genes. We identified 17 individuals from 15 unrelated families carrying a heterozygous guanine duplication (rs797044936; NM_033517.1; c.3679dup; p.Ala1227Glyfs*69) occurring within a string of 8 guanines (at genomic location [hg38]g.50,721,512dup) affecting SHANK3 , a prototypical ASD gene (6/7,521 or 0.08% of ASD-affected individuals studied by whole genome sequencing carried the p.Ala1227Glyfs*69 variant). This variant, which is predicted to cause a frameshift leading to a premature stop codon truncating the C-terminal region of the corresponding protein, was not reproducibly found in any of the control groups we analyzed. All probands identified carried de novo mutations with the exception of five individuals in three families who inherited it through somatic mosaicism. This same heterozygous variant in published mouse models leads to an ASD-like phenotype. We scrutinized the phenotype of p.Ala1227Glyfs*69 carriers, and while everyone (16/16) formally tested for ASD carried a diagnosis, there was variable expression of core ASD features both within families and between families, underscoring the impact of as yet unknown modifiable factors affecting expressivity in autism.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".