Copy-number variations are enriched for neurodevelopmental genes in children with developmental coordination disorder
Bibliographic record
Abstract
BACKGROUND: Developmental coordination disorder is a common neurodevelopment disorder that frequently co-occurs with other neurodevelopmental disorders including attention-deficit hyperactivity disorder (ADHD). Copy-number variations (CNVs) have been implicated in a number of neurodevelopmental and psychiatric disorders; however, the proportion of heritability in developmental coordination disorder (DCD) attributed to CNVs has not been explored. OBJECTIVE: This study aims to investigate how CNVs may contribute to the genetic architecture of DCD. METHODS: CNV analysis was performed on 82 extensively phenotyped Canadian children with DCD, with or without co-occurring ADHD and/or reading disorder, and 2988 healthy European controls using identical genome-wide SNP microarrays and CNV calling algorithms. RESULTS: An increased rate of large and rare genic CNVs (p=0.009) was detected, and there was an enrichment of duplications spanning brain-expressed genes (p=0.039) and genes previously implicated in other neurodevelopmental disorders (p=0.043). Genes and loci of particular interest in this group included: GAP43, RBFOX1, PTPRN2, SHANK3, 16p11.2 and distal 22q11.2. Although no recurrent CNVs were identified, 26% of DCD cases, where sample availability permitted segregation analysis, were found to have a de novo rare CNV. Of the inherited CNVs, 64% were from a parent who also had a neurodevelopmental disorder. CONCLUSIONS: These findings suggest that there may be shared susceptibility genes for DCD and other neurodevelopmental disorders and highlight the need for thorough phenotyping when investigating the genetics of neurodevelopmental disorders. Furthermore, these data provide compelling evidence supporting a genetic basis for DCD, and further implicate rare CNVs in the aetiology of neurodevelopmental disorders.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".