Genome Medicine · 2014 · 60 citations · 27 references
Life SciencesCardiologyGeneticsGene ExpressionGenomicsTranscriptional RegulationCardiovascular DiseaseCoronary Artery DiseaseDifferential Gene Expression AnalysisExpression Quantitative Trait Loci AnalysisExpression Signature DiscoveryGene Expression ProfilingDifferential Gene ExpressionDifferential Transcript ExpressionExpression Quantitative Trait LociExpression Quantitative Trait Locus AnalysisInflammatory Response GenesMicroarray-based TranscriptomicsTranscript-level Expression AnalysisTranscriptional Signature Analysis
BACKGROUND: Genetic risk scores have been developed for coronary artery disease and atherosclerosis, but are not predictive of adverse cardiovascular events. We asked whether peripheral blood expression profiles may be predictive of acute myocardial infarction (AMI) and/or cardiovascular death. METHODS: Peripheral blood samples from 338 subjects aged 62 ± 11 years with coronary artery disease (CAD) were analyzed in two phases (discovery N = 175, and replication N = 163), and followed for a mean 2.4 years for cardiovascular death. Gene expression was measured on Illumina HT-12 microarrays with two different normalization procedures to control technical and biological covariates. Whole genome genotyping was used to support comparative genome-wide association studies of gene expression. Analysis of variance was combined with receiver operating curve and survival analysis to define a transcriptional signature of cardiovascular death. RESULTS: In both phases, there was significant differential expression between healthy and AMI groups with overall down-regulation of genes involved in T-lymphocyte signaling and up-regulation of inflammatory genes. Expression quantitative trait loci analysis provided evidence for altered local genetic regulation of transcript abundance in AMI samples. On follow-up there were 31 cardiovascular deaths. A principal component (PC1) score capturing covariance of 238 genes that were differentially expressed between deceased and survivors in the discovery phase significantly predicted risk of cardiovascular death in the replication and combined samples (hazard ratio = 8.5, P < 0.0001) and improved the C-statistic (area under the curve 0.82 to 0.91, P = 0.03) after adjustment for traditional covariates. CONCLUSIONS: A specific blood gene expression profile is associated with a significant risk of death in Caucasian subjects with CAD. This comprises a subset of transcripts that are also altered in expression during acute myocardial infarction.
27
Index for rating diagnostic tests
W. J. Youden · Cancer · 1950 · 11.5K citations · Full text
Education, Educational Assessment, Educational Measurement +11
Molecular signatures database (MSigDB) 3.0
Arthur Liberzon, Aravind Subramanian, Reid M. Pinchback et al. · Bioinformatics · 2011 · 7.7K citations · Full text
Austen Wg, Je. Edwards, RL Frye et al. · Circulation · 1975 · 3.3K citations · Full text
Medicine, Cardiology, Surgery +17
ToppGene Suite for gene list enrichment analysis and candidate gene prioritization
Jing Chen, Eric E. Bardes, Bruce J. Aronow et al. · Nucleic Acids Research · 2009 · 3.1K citations · Full text
Genomewide Association Analysis of Coronary Artery Disease
Nilesh J. Samani, Jeanette Erdmann, Alistair S. Hall et al. · New England Journal of Medicine · 2007 · 2K citations · Full text
Medicine, Cardiology, Genetics +13