A DRD4/BDNF gene–gene interaction associated with maximum BMI in women with bulimia nervosa
Bibliographic record
Abstract
OBJECTIVE: The goals of the current study were threefold: 1) to examine whether the hypofunctional 7R allele of the DRD4 gene contributes to maximal lifetime body mass in women with BN; 2) to determine whether the BDNF gene contributes to maximal BMI on its own, and 3) to explore possible BDNF/DRD4 gene-gene interactions in mediating maximum lifetime BMIs in BN. METHOD: We tested two General Linear Models predicting maximum lifetime BMI with the exon 3 VNTR polymorphism of the dopamine-4 receptor gene (DRD4) and either the Val66Met or the -270C/T polymorphism of BDNF respectively in 163 female probands with BN, purging subtype. RESULTS: In these bulimic subjects, the hypofunctional 7R allele of DRD4 predicted maximal BMI (p < .01). There was also a significant interaction between the DRD4 gene and the BDNF gene in predicting maximal BMI. The Val66Met rather than the 270C/T polymorphism of BDNF interacting with DRD4 predicted maximum BMI in this BN sample (p < .01). Probands carrying both the hypofunctional 7R allele of DRD4 and the Met66 allele of BDNF had significantly higher maximal BMI than did probands in the other gene-gene interaction groups. CONCLUSION: These results provide further evidence that the hypofunctional 7R allele of DRD4 contributes to weight gain in women with BN and that the BDNF gene interacts with DRD4 to influence weight regulation in these subjects.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 | 0.001 |
| 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".