Association study of four dopamine D1 receptor gene polymorphisms and clozapine treatment response
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Dopamine D1 receptors (D1) in the prefrontal cortex have been implicated in the modulation of cognitive processes as well as both positive and negative symptoms of schizophrenia. Therefore pharmacologic agents with potent D1 effects such as clozapine may influence the symptoms of schizophrenia (SCZ). Genetic variation in the D1 receptor gene (DRD1) may help to explain some of the variability in patient response to antipsychotics (APs). This study investigates the effect of four single nucleotide polymorphisms (SNPs) in DRD1 on clozapine response in two distinct SCZ populations (Caucasian and African American) refractory or intolerant to conventional APs. This study included 183 Caucasian and 49 African American schizophrenics diagnosed using the Diagnostic and Statistical Manual of Mental Disorders (revised third or fourth edition). Genotyping was determined by 5'-exonuclease fluorescence assays. Within each population genotype, allele, allele +/- and haplotype frequencies were compared against dichotomous and quantitative measures of treatment response. Linkage disequilibrium analysis was also performed. In the Caucasian sample, no associations were observed for individual SNP tests. However, a rare three-marker haplotype predicted poor response. In the African American sample, the rs265976 variant and another three-marker haplotype were associated with cLozapine response. Although we did not find an association between the rs4532 SNP (-48 A/G, recognized by a DdeI restriction cut site) and cLozapine response as reported by Potkin et al. (2003), a trend in the same direction was observed as well. Our findings suggest that the rs4532 SNP may have a small effect if any. Further studies in larger, independent samples are required to validate these findings.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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 it