Relation of Serotonin Transporter Genetic Variation to Efficacy of Escitalopram for Generalized Anxiety Disorder in Older Adults
Bibliographic record
Abstract
OBJECTIVE: Generalized anxiety disorder (GAD) is common in older adults and can be treated with selective serotonin reuptake inhibitors (SSRIs). Genetic variation in the serotonin transporter gene promoter region is posited to be associated with SSRI efficacy: 2 polymorphisms (5-HTTLPR S/L and rs25531 g/a) form a haplotype with the La combination having higher transcription activity than other haplotypes. We hypothesized that GAD patients with no La haplotypes (La⁻) have lower SSRI treatment efficacy than those with 1 to 2 La haplotypes (La+). METHOD: The study enrolled subjects aged 60 years or older with a principal diagnosis of GAD into a 12-week, randomized trial of escitalopram versus placebo. One hundred fifty subjects were genotyped for the serotonin transporter promoter region haplotype and were divided into La⁻ and La+ genotype groups; the primary analyses were done in European Americans only (n = 125; n = 59 with escitalopram and n = 66 with placebo). RESULTS: Escitalopram had no efficacy in the La⁻ group versus moderate efficacy in the La+ group. This genetic moderation of SSRI efficacy was due to a higher placebo response in La⁻ subjects, compared with La+ subjects. Drug concentration did not affect the genetic results. Exploratory analyses suggest that La⁻ subjects had greater variability of anxiety symptoms unrelated to treatment. CONCLUSIONS: The serotonin transporter promoter haplotype is associated with variability in SSRI efficacy for late-life GAD. The variability may result from a genetic effect on anxiety symptom variability unrelated to treatment, rather than a pharmacodynamic effect that has been previously assumed. Further research is needed to understand the pharmacogenetic mechanism of this haplotype.
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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 | 0.001 |
| 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 | 0.001 |
| 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".