From the Origins of Pharmacogenetics to First Applications in Psychiatry
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
Pharmacogenetics is the division of science addressing how genetic factors contribute to the metabolism, response, and side effects of a given medication. What was once regarded as a subdivision of genetics and pharmacology is now recognized as its own field and has its own unique story of origin. While the term "pharmacogenetics" was coined by Friedrich Vogel in 1959, the relevance of inherited genetic traits in affecting the clinical outcome to xenobiotics has been observed long before. In fact, there is much hope that pharmacogenetics can help unravel the "mysteries" as to why different people may display variable responses to the same medication as well as identify new drug targets. This article will highlight the conceptual framework for pharmacogenetics advanced by pioneer scientists Arno Motulsky and Friedrich Vogel (both human geneticists), as well as Werner Kalow (clinical pharmacologist), leading up to the creation of modern pharmacogenetics. Finally, the practical implications and first steps toward implementation for current psychiatric treatment are reviewed followed by an outlook on future studies.
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.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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