Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

A Bayesian hierarchical nonlinear model for assessing the association between genetic variation and drug cytotoxicity.

Statistics in medicine - 20 Sept 2009

Fridley Brooke L, Jenkins Gregory, Schaid Daniel J, Wang Liewei

Abstract excerpt

Non-tumor cell-based model systems have recently gained interest in pharmacogenetic research as a hypothesis generating tool. The hypotheses generated from these model systems can be followed up in functional studies, or tested in individuals taking the same investigational agents. The current cellular phenotypes (e.g. cytotoxicity) of interest in these studies are based on the effects of an individual dosage of...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Antimetabolites, Antineoplastic
Share to Bayes Theorem

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Deoxycytidine

Share to Drug-Related Side Effects and Adverse Reactions

Share to Gemcitabine

Share to Gene Expression

Share to Models, Statistical

Share to Pharmacogenetics

Source

Open in PubMed Open full text

Identifiers

PMID: 19572260
DOI: 10.1002/sim.3649
PMCID: PMC2755562

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A Bayesian hierarchical nonlinear model for assessing the association between genetic variation and drug cytotoxicity.PMID 19572260Read ↗

Pharmacogenomic Characterization of US FDA-approved Cytotoxic DrugsSemantic proximity Read ↗

Heritable and non-genetic factors as variables of pharmacologic phenotypes in lymphoblastoid cell lines.Semantic proximity Read ↗

A regularized functional regression model enabling transcriptome-wide dosage-dependent association study of cancer drug responseSemantic proximity Read ↗

Predictive models of cytotoxicity as mediated by exposure to chemicals or drugs.Semantic proximity Read ↗

Simulation of cancer cell line pharmacogenomics data to optimise experimental design and analysis strategySemantic proximity Read ↗

Cancer biomarker discovery is improved by accounting for variability in general levels of drug sensitivity in pre-clinical modelsSemantic proximity Read ↗

Phenotype-based probabilistic analysis of heterogeneous responses to cancer drugs and their combination efficacy.Semantic proximity Read ↗

A genome-wide approach to identify genetic variants that contribute to etoposide-induced cytotoxicity.Semantic proximity Read ↗

Simulation of cancer cell line pharmacogenomics data to optimise experimental design and analysis strategySemantic proximity Read ↗

Novel computational approaches to polypharmacology as a means to define responses to individual drugs.Semantic proximity Read ↗

Genetic variants contributing to daunorubicin-induced cytotoxicity.Semantic proximity Read ↗

Use of cell lines in the investigation of pharmacogenetic loci.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.