Genetics and beyond - the transcriptome of human monocytes and disease susceptibility

Tanja Zeller, Philipp Wild, Silke Szymczak, Maxime Rotival, Arne Schillert, Raphaele Castagne, Seraya Maouche, Marine Germain, Karl Lackner, Heidi Rossmann, Medea Eleftheriadis, Christoph R. Sinning, Renate B. Schnabe, Edith Lubos, Detlev Mennerich, Werner Rust, Claire Perret, Carole Proust, Viviane Nicaud, Joseph LoscalzoNorbert Hübner, David Tregouet, Thomas Münze, Andreas Ziegler, Laurence Tiret, Stefan Blankenberg*, François Cambien

*Corresponding author for this work
458 Citations (Scopus)


Background: Variability of gene expression in human may link gene sequence variability and phenotypes; however, nongenetic variations, alone or in combination with genetics, may also influence expression traits and have a critical role in physiological and disease processes. Methodology/Principal Findings: To get better insight into the overall variability of gene expression, we assessed the transcriptome of circulating monocytes, a key cell involved in immunity-related diseases and atherosclerosis, in 1,490 unrelated individuals and investigated its association with >675,000 SNPs and 10 common cardiovascular risk factors. Out of 12,808 expressed genes, 2,745 expression quantitative trait loci were detected (P<5.78 610-12), most of them (90%) being cis-modulated. Extensive analyses showed that associations identified by genome-wide association studies of lipids, body mass index or blood pressure were rarely compatible with a mediation by monocyte expression level at the locus. At a study-wide level (P:lt;3.9 10-7), 1,662 expression traits (13.0%) were significantly associated with at least one risk factor. Genome-wide interaction analyses suggested that genetic variability and risk factors mostly acted additively on gene expression. Because of the structure of correlation among expression traits, the variability of risk factors could be characterized by a limited set of independent gene expressions which may have biological and clinical relevance. For example expression traits associated with cigarette smoking were more strongly associated with carotid atherosclerosis than smoking itself. Conclusions/Significance: This study demonstrates that the monocyte transcriptome is a potent integrator of genetic and non-genetic influences of relevance for disease pathophysiology and risk assessment.

Original languageEnglish
Article numbere10693
JournalPLoS ONE
Issue number5
Publication statusPublished - 2010


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