ArticlePharmacogenetics and genomics2012
A genome-wide association analysis of temozolomide response using lymphoblastoid cell lines shows a clinically relevant association with MGMT.
Article in Pharmacogenetics and genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed, 32 citations in OpenAlex.
- Article
- Article
- Extending the lymphoblastoid cell line model for drug combination pharmacogenomics.Pharmacogenomics · 2021Review
- Individual Differences in the Response of Human β-Lymphoblastoid Cells to the Cytotoxic, Mutagenic, and DNA-Damaging Effects of a DNA Methylating Agent,Chemical research in toxicology · 2019Article
- The germline genetic component of drug sensitivity in cancer cell lines.Nature communications · 2018Article
- Article
- Diversity in non-repetitive human sequences not found in the reference genome.Nature genetics · 2017Article
- Genetic Variants Contributing to Colistin Cytotoxicity: Identification of TGIF1 and HOXD10 Using a Population Genomics Approach.International journal of molecular sciences · 2017Article
- An Introduction to Terminology and Methodology of Chemical Synergy-Perspectives from Across Disciplines.Frontiers in pharmacology · 2017Review
- SNP rs16906252C>T Is an Expression and Methylation Quantitative Trait Locus Associated with an Increased Risk of Developing MGMT-Methylated Colorectal Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2016Article
- Embracing Integrative Multiomics Approaches.International journal of genomics · 2016Review
- Population-based in vitro hazard and concentration-response assessment of chemicals: the 1000 genomes high-throughput screening study.Environmental health perspectives · 2015Article
- SCAN database: facilitating integrative analyses of cytosine modification and expression QTL.Database : the journal of biological databases and curation · 2015Article
- An investigation of gene-gene interactions in dose-response studies with Bayesian nonparametrics.BioData mining · 2015Article
- In vitro human cell line models to predict clinical response to anticancer drugs.Pharmacogenomics · 2015Review
- Evaluating the role of admixture in cancer therapy via in vitro drug response and multivariate genome-wide associations.Pharmacogenomics · 2015Article
- Application of next generation sequencing to CEPH cell lines to discover variants associated with FDA approved chemotherapeutics.BMC research notes · 2014Article
- The role of gene body cytosine modifications in MGMT expression and sensitivity to temozolomide.Molecular cancer therapeutics · 2014Article
- Protein quantitative trait loci identify novel candidates modulating cellular response to chemotherapy.PLoS genetics · 2014Article
- Beyond ICJournal of pharmacogenomics & pharmacoproteomics · 2014Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
objectiveRecently, lymphoblastoid cell lines (LCLs) have emerged as an innovative model system for mapping gene variants that predict the dose response to chemotherapy drugs.
methodsIn the current study, this strategy was expanded to the in-vitro genome-wide association approach, using 516 LCLs derived from a White cohort to assess the cytotoxic response to temozolomide.
resultsGenome-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 O(6)-methylguanine-DNA methyltransferase (MGMT) gene. We also show that the primary SNP in this region is significantly associated with the differential gene expression of MGMT (P<10(-26)) in LCLs and differential methylation in glioblastoma samples from The Cancer Genome Atlas.
conclusionThe previously documented clinical and functional relationships between MGMT and temozolomide response highlight the potential of well-powered genome-wide association studies of the LCL model system to identify meaningful genetic associations.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.