Interaction Effect of Functional Variants of the BDNF and DRD2/ANKK1 Gene Is Associated With Alexithymia in Healthy Human Subjects
Bibliographic record
Abstract
Objective: To test the hypothesis that the interaction between the brain-derived neurotrophic factor (BDNF) and dopamine receptor D2 (DRD2)/ANKK1 gene contributes to individual differences in alexithymia. The personality construct of alexithymia refers to difficulties in emotional self-regulation and contributes as a risk factor to several mental disorders. Alexithymic individuals show an impoverished conscious experience of emotions but an intact autonomic emotional response. Persons with high alexithymia scores reportedly show a reduced activation of the anterior cingulate cortex (ACC) during the processing of emotional stimuli. An interaction between two polymorphisms on the BDNF and DRD2/ANKK1 gene has been recently associated with reduced gray matter volume in the ACC and higher trait anxiety. Methods: We conducted a genetic association study. A total of 664 healthy participants completed the Toronto Alexithymia Scale questionnaire and were genotyped for the BDNF Val66Met (rs6265) and the DRD2/ANKK1 Taq IA (rs1800497) polymorphisms. Results: Carriers of at least one BDNF 66Met and one DRD2/ANKK1 A1 allele showed the highest scores in the total Toronto Alexithymia Scale and in the subscale “Difficulties Identifying Feelings.” Conclusion: In line with recent studies investigating the role of BDNF Val66Met and DRD2/ANKK1 Taq IA polymorphisms on anxiety and gray matter volume in the ACC, our findings provide the first evidence for a genetic contribution to alexithymia. ACC = anterior cingulate cortex; TAS-20 = Toronto Alexithymia Scale; DIF = TAS-20 subscale Difficulties Identifying Feelings; DDF = TAS-20 subscale Difficulties Describing Feelings; EOT = TAS-20 subscale Externally Oriented Thinking; BDNF = brain-derived neurotrophic factor; DRD2 = dopamine receptor D2; CBF = cerebral blood flow; TCI = Temperament and Character Inventory; VTA = ventral tegmental area; PD = panic disorder.
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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 | 0.000 |
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".