Genetics and Beyond – The Transcriptome of Human Monocytes and Disease Susceptibility

Tanja Zeller(Johannes Gutenberg University Mainz), Philipp S. Wild(Klinik und Poliklinik für Psychosomatische Medizin und Psychotherapie), Silke Szymczak(University Hospital Schleswig-Holstein), Maxime Rotival(Sorbonne Université), Arne Schillert(University of Lübeck), Raphaële Castagné(Sorbonne Université), Seraya Maouche(Inserm), Marine Germain(Inserm), Karl J. Lackner(Johannes Gutenberg University Mainz), Heidi Rossmann(Johannes Gutenberg University Mainz), Medea Eleftheriadis(University Medical Center of the Johannes Gutenberg University Mainz), Christoph Sinning(Klinik und Poliklinik für Psychosomatische Medizin und Psychotherapie), Renate B. Schnabel(Klinik und Poliklinik für Psychosomatische Medizin und Psychotherapie), Edith Lubos(Johannes Gutenberg University Mainz), Detlev Mennerich(Boehringer Ingelheim (Germany)), Werner Rust(Boehringer Ingelheim (Germany)), Claire Perret(Inserm), Carole Proust(Inserm), Viviane Nicaud(Inserm), Joseph Loscalzo(Brigham and Women's Hospital), Norbert Hübner(Max Delbrück Center), David‐Alexandre Trégouët(Inserm), Thomas Münzel(Johannes Gutenberg University Mainz), Andreas Ziegler(Institut für Medizinische Informatik, Biometrie und Epidemiologie), Laurence Tiret(Sorbonne Université), Stefan Blankenberg(University Medical Center of the Johannes Gutenberg University Mainz), François Cambien(Inserm)
PLoS ONE
May 18, 2010
Cited by 600Open Access
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Abstract

BACKGROUND: Variability of gene expression in human may link gene sequence variability and phenotypes; however, non-genetic 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<5.78x10(-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<3.9x10(-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.


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