Works (7)

Updated: July 5th, 2023 15:45

2015 journal article

Population-Based in Vitro Hazard and Concentration-Response Assessment of Chemicals: The 1000 Genomes High-Throughput Screening Study

ENVIRONMENTAL HEALTH PERSPECTIVES, 123(5), 458–466.

By: N. Abdo*, M. Xia*, C. Brown*, O. Kosyk*, R. Huang*, S. Sakamuru*, Y. Zhou n, J. Jack* ...

MeSH headings : Cell Line, Tumor; Genome-Wide Association Study / methods; Genotype; Humans; Risk Assessment; Toxicity Tests / methods
TL;DR: This experimental approach fills critical gaps unaddressed by recent large-scale toxicity testing programs, providing quantitative, experimentally based estimates of human toxicodynamic variability, and also testable hypotheses about mechanisms contributing to interindividual variation. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2014 journal article

An adaptive permutation approach for genome-wide association study: Evaluation and recommendations for use

Biodata Mining, 7.

By: R. Che, J. Jack, A. Motsinger-Reif & C. Brown

Source: NC State University Libraries
Added: August 6, 2018

2014 journal article

Genome-wide association and pharmacological profiling of 29 anticancer agents using lymphoblastoid cell lines

PHARMACOGENOMICS, 15(2), 137–146.

By: C. Brown n, T. Havener*, M. Medina, J. Jack n, R. Krauss, H. McLeod*, A. Motsinger-Reif n

author keywords: chemotherapeutics; genome-wide association study; lymphoblastoid cell lines
MeSH headings : Antineoplastic Agents / administration & dosage; Biomarkers, Pharmacological / metabolism; Cell Line, Tumor; Chromosome Mapping; Genome-Wide Association Study; Genotype; Histone Deacetylases / genetics; Humans; Pharmacogenetics; Repressor Proteins / genetics
TL;DR: The utility of LCLs is demonstrated in identifying genes that have clinical importance in drug response and for assigning unclassified agents to specific drug families, and proposes new candidate genes for follow-up in a large number of chemotherapy drugs. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2012 journal article

A genome-wide association analysis of temozolomide response using lymphoblastoid cell lines shows a clinically relevant association with MGMT

PHARMACOGENETICS AND GENOMICS, 22(11), 796–802.

By: C. Brown*, T. Havener*, M. Medina, J. Auman*, L. Mangravite*, R. Krauss, H. McLeod*, A. Motsinger-Reif n

author keywords: genome-wide association studies; lymphoblastoid cell lines; MGMT; pharmacogenetics; temozolomide
MeSH headings : Antineoplastic Agents, Alkylating / pharmacology; Cell Line, Tumor; DNA Methylation; DNA Modification Methylases / genetics; DNA Repair Enzymes / genetics; Dacarbazine / analogs & derivatives; Dacarbazine / pharmacology; Gene Expression Regulation, Neoplastic; Genome, Human; Genome-Wide Association Study; Humans; Polymorphism, Single Nucleotide; Precursor Cell Lymphoblastic Leukemia-Lymphoma / drug therapy; Precursor Cell Lymphoblastic Leukemia-Lymphoma / genetics; Precursor Cell Lymphoblastic Leukemia-Lymphoma / pathology; Temozolomide; Tumor Suppressor Proteins / genetics
TL;DR: Genome-wide association analysis using ∼2.1 million quality-controlled single-nucleotide polymorphisms (SNPs) identified a statistically significant association (P<10−8) with SNPs in the O6-methylguanine-DNA methyltransferase (MGMT) gene. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2012 journal article

A predictive model for Efavirenz dosing

Pharmacogenomics, 13(2), 137–138.

By: C. Brown, N. Oki, G. Hariani & A. Motsinger-Reif

Source: NC State University Libraries
Added: August 6, 2018

2012 personal communication

Loss of power in two-stage residual-outcome regression analysis in genetic association studies

By: R. Che, A. Motsinger-Reif & C. Brown

Source: NC State University Libraries
Added: August 6, 2018

2012 journal article

Multivariate methods and software for association mapping in dose-response genome-wide association studies

Biodata Mining, 5.

By: C. Brown, T. Havener, M. Medina, R. Krauss, H. McLeod & A. Motsinger-Reif

Source: NC State University Libraries
Added: August 6, 2018

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