The serotonin receptor HTR1B: Gene polymorphisms in attention deficit hyperactivity disorder
Bibliographic record
Abstract
Serotonin plays an essential role in cognition, locomotor activity, and the regulation of sleep, pain, mood, and aggression. Polymorphisms of the HTR1B gene have been implicated in a variety of psychiatric disorders including attention deficit hyperactivity disorder (ADHD) and obsessive-compulsive disorder (OCD). The objectives of this study were to: (i) expand our original investigation of the relationship between the HTR1B receptor gene and attention deficit/hyperactivity and; (ii) to investigate a possible association of obsessive behaviors/perfectionism and the HTR1B gene in a sample of 203 families with an ADHD proband. Six single nucleotide polymorphisms (SNPs) of the HTR1B receptor gene were genotyped using standard methods. Evidence for an association between the HTR1B gene and ADHD as a qualitative diagnosis, or the inattentive and hyperactive-impulsive quantitative traits was not supported by either TDT single marker analysis or haplotype analysis. In addition we did not find evidence to suggest an association between HTR1B and perfectionism in this sample of ADHD families.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".