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Record W2113304916 · doi:10.1158/0008-5472.can-04-0340

Heritability and Linkage Analysis of Sensitivity to Cisplatin-Induced Cytotoxicity

2004· article· en· W2113304916 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCancer Research · 2004
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Genetic and Mutation Studies
Canadian institutionsImmunovaccine (Canada)
FundersNational Institute of General Medical Sciences
KeywordsHeritabilityCytotoxicityCisplatinPedigree chartGeneticsBiologyLocus (genetics)Quantitative trait locusGenetic linkageGeneIn vitroChemotherapy

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.829
Threshold uncertainty score0.566

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.121
GPT teacher head0.386
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it