Metabolomic Quantitative Trait Loci (mQTL) Mapping Implicates the Ubiquitin Proteasome System in Cardiovascular Disease Pathogenesis.
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Levels of certain circulating short-chain dicarboxylacylcarnitine (SCDA), long-chain dicarboxylacylcarnitine (LCDA) and medium chain acylcarnitine (MCA) metabolites are heritable and predict cardiovascular disease (CVD) events. Little is known about the biological pathways that influence levels of most of these metabolites. Here, we analyzed genetics, epigenetics, and transcriptomics with metabolomics in samples from a large CVD cohort to identify novel genetic markers for CVD and to better understand the role of metabolites in CVD pathogenesis. Using genomewide association in the CATHGEN cohort (N = 1490), we observed associations of several metabolites with genetic loci. Our strongest findings were for SCDA metabolite levels with variants in genes that regulate components of endoplasmic reticulum (ER) stress (USP3, HERC1, STIM1, SEL1L, FBXO25, SUGT1) These findings were validated in a second cohort of CATHGEN subjects (N = 2022, combined p = 8.4x10-6-2.3x10-10). Importantly, variants in these genes independently predicted CVD events. Association of genomewide methylation profiles with SCDA metabolites identified two ER stress genes as differentially methylated (BRSK2 and HOOK2). Expression quantitative trait loci (eQTL) pathway analyses driven by gene variants and SCDA metabolites corroborated perturbations in ER stress and highlighted the ubiquitin proteasome system (UPS) arm. Moreover, culture of human kidney cells in the presence of levels of fatty acids found in individuals with cardiometabolic disease, induced accumulation of SCDA metabolites in parallel with increases in the ER stress marker BiP. Thus, our integrative strategy implicates the UPS arm of the ER stress pathway in CVD pathogenesis, and identifies novel genetic loci associated with CVD event risk.
Endoplasmic Reticulum Stress
Polymorphism, Single Nucleotide
Proteasome Endopeptidase Complex
Quantitative Trait Loci
Published Version (Please cite this version)10.1371/journal.pgen.1005553
Publication InfoBain, James R; Craig, Damian; Grass, E; Gregory, Simon Gray; Hauser, Elizabeth Rebecca; Haynes, Carol; ... Stevens, Robert David (2015). Metabolomic Quantitative Trait Loci (mQTL) Mapping Implicates the Ubiquitin Proteasome System in Cardiovascular Disease Pathogenesis. PLoS Genet, 11(11). pp. e1005553. 10.1371/journal.pgen.1005553. Retrieved from https://hdl.handle.net/10161/10957.
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Associate Professor in Medicine
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My principal area of research involves elucidating the molecular mechanisms underlying multi-factorial diseases. My lab is primarily interested identifying the complex genetic factors that give rise to multiple sclerosis, autism and cardiovascular disease. We are using targeted approaches to identify differential methylation of the oxytocin receptor gene (OXTR) in individuals with autism, and applying these data to an NICHD funded ACE award, SOARS-B, to assess long term use of oxytocin nasal spr
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My research interests are focused on developing and applying statistical methods to search for genes causing common human diseases. Recent work has been in the development of statistical methods for genetic studies and in identifying optimal study designs for genetic studies of complex traits. As application of these methods to specific diseases has progressed it has become apparent that etiologic and genetic heterogeneity is a major stumbling block in the research for genes for common diseases.
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