70-LB: Fat Mass and Obesity-Associated rs9939609 Gene Variant Is Related to Fasting Glucose in Children with Mental Health Conditions
Bibliographic record
Abstract
Over one million Canadian children are estimated to have a mental health condition, such as depression, anxiety, and attention deficit hyperactivity disorder. Many are treated with second-generation antipsychotics (SGA). In some children, SGA treatment is associated with excessive weight gain and metabolic complications including a 3-fold greater risk for type 2 diabetes. We currently have no way to identify SGA-treated children at risk for metabolic complications. The goal of our study is to determine if the fat mass and obesity-associated gene (FTO) rs9939609 variant is associated with metabolic complications in SGA-treated children. A cross-sectional population of SGA-treated (n=232) and SGA-naïve (n=378) children (≤18y) were recruited through Child and Adolescent Psychiatry at BC Children’s Hospital. Participants were genotyped, metabolic markers assessed; dietary intakes were estimated in a subset of children (n=79). The FTO rs9939609 variant genotype frequencies were not different between SGA-treated (TT 44%, TA 38%, AA 18%) and SGA-naïve (TT 42%, TA 39%, AA 19%) children. An interaction was found between SGA status and FTO genotype for fasting glucose (p=0.014). In SGA-naïve children, the A allele carriers compared to non-carriers had higher fasting glucose (4.95 vs. 4.78 mmol/L; p=0.001) in a model adjusted for age, sex, ethnicity, and zBMI. This difference was not observed in SGA-treated children. Daily energy intakes of A allele carriers were not significantly higher compared to non-carries in SGA-treated (1855 vs. 2087 kcal) and SGA-naïve (1606 vs. 1871 kcal) children. Our findings suggest that the A allele of the FTO rs9939609 variant is associated with higher fasting glucose in SGA-naïve children with mental health conditions. Disclosure A.M. Wiedeman: None. Y. Ngai: None. A.M. Henderson: None. C. Panagiotopoulos: Advisory Panel; Self; Dexcom, Inc. A.M. Devlin: None. Funding BC Mental Health & Substance Use Services
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".