Heritability and Linkage Analysis of Sensitivity to Cisplatin-Induced Cytotoxicity
Bibliographic record
Abstract
Little is known about the genetic determinants explaining variation in sensitivity to chemotherapeutic cytotoxicity. We characterized the degree of cisplatin sensitivity, using lymphoblastoid cell lines derived from 10 Centre d'Etude du Polymorphisme Humain pedigrees. We estimated the heritability for susceptibility to cisplatin-induced cytotoxicity to be approximately 0.47; therefore, sensitivity to the cytotoxic effects of cisplatin is under appreciable genetic influence. Linkage analysis was performed, and the strongest signal (lod score, 2.16; empirical P = 0.0005) was found on chromosome 1 at 44 cM. Susceptibility to cisplatin-induced cytotoxicity is likely due to multiple loci, with low locus-specific heritability contributing to the trait. These data show the power of using large pedigrees that have been extensively genotyped for evaluating the genetic contribution to sensitivity to cell growth inhibition by anticancer agents.
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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 | 0.001 | 0.003 |
| 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) | 0.001 | 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".