Anorexia nervosa is associated with Neuronatin variants
Bibliographic record
Abstract
BACKGROUND: Anorexia nervosa is a complex neuropsychiatric disorder presenting with life-threatening low body weight, and a persistent fear of gaining weight. To date, no whole exome sequencing was performed in male individuals with anorexia nervosa. AIM AND METHODS: Here, we performed an exome analysis in two independent families with male individuals with anorexia nervosa and found variants in the Neuronatin (NNAT) gene in both probands. To confirm our data, we carried out the screening of the NNAT gene in a cohort of 8 male and 144 female individuals with anorexia nervosa. RESULTS: Exome sequencing revealed a nonsense variant p.Trp33* in NNAT in one patient and a rare variant in the 5'UTR region of NNAT in the other patient. Screening of the NNAT gene in a cohort of 8 male and 144 female individuals with anorexia nervosa allowed to identify 11 other NNAT variants showing that 40.00% and 6.25% of male and female anorexia nervosa individuals carried a NNAT variant, respectively. Moreover, two novel missense variants were identified in female anorexia nervosa patients. CONCLUSION: Our data suggest that NNAT variants and NNAT expression changes may be associated with susceptibility to eating disorders such as anorexia nervosa.
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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 | 0.001 | 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) | 0.004 | 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".