Human Molecular Genetics · 2018 · 50 citations · 72 references
Epigenetic ChangeGeneticsDna MethylationMetabolomic ProfilingMolecular BiologyMultiomicsCpg SitesEpigeneticsEnvironmental EpigeneticsMetabolic SyndromeCpg MethylationNeurogeneticsComplex DisordersOmicsMetabolomicsEpigenetic RegulationMetabolic HealthDiabetes BiomarkersGenetic DisorderNatural SciencesDiabetesEpigenomicsMetabolic ProfilingSystems BiologyMedicineDeep Molecular Phenotypes
Epigenetic regulation of cellular function provides a mechanism for rapid organismal adaptation to changes in health, lifestyle and environment. Associations of cytosine-guanine di-nucleotide (CpG) methylation with clinical endpoints that overlap with metabolic phenotypes suggest a regulatory role for these CpG sites in the body's response to disease or environmental stress. We previously identified 20 CpG sites in an epigenome-wide association study (EWAS) with metabolomics that were also associated in recent EWASs with diabetes-, obesity-, and smoking-related endpoints. To elucidate the molecular pathways that connect these potentially regulatory CpG sites to the associated disease or lifestyle factors, we conducted a multi-omics association study including 2474 mass-spectrometry-based metabolites in plasma, urine and saliva, 225 NMR-based lipid and metabolite measures in blood, 1124 blood-circulating proteins using aptamer technology, 113 plasma protein N-glycans and 60 IgG-glyans, using 359 samples from the multi-ethnic Qatar Metabolomics Study on Diabetes (QMDiab). We report 138 multi-omics associations at these CpG sites, including diabetes biomarkers at the diabetes-associated TXNIP locus, and smoking-specific metabolites and proteins at multiple smoking-associated loci, including AHRR. Mendelian randomization suggests a causal effect of metabolite levels on methylation of obesity-associated CpG sites, i.e. of glycerophospholipid PC(O-36: 5), glycine and a very low-density lipoprotein (VLDL-A) on the methylation of the obesity-associated CpG loci DHCR24, MYO5C and CPT1A, respectively. Taken together, our study suggests that multi-omics-associated CpG methylation can provide functional read-outs for the underlying regulatory response mechanisms to disease or environmental insults.
72
Fitting Linear Mixed-Effects Models Using<b>lme4</b>
Douglas M. Bates, Martin Mächler, Benjamin M. Bolker et al. · Journal of Statistical Software · 2015 · 81.1K citations · Full text
DNA methylation arrays as surrogate measures of cell mixture distribution
E. Andrés Houseman, William P. Accomando, Devin C. Koestler et al. · BMC Bioinformatics · 2012 · 3.3K citations · Full text