Deep molecular phenotypes link complex disorders and physiological insult to CpG methylation

Abstract 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 regulato...

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Veröffentlicht in:Human molecular genetics 2018-03, Vol.27 (6), p.1106-1121
Hauptverfasser: Zaghlool, Shaza B, Mook-Kanamori, Dennis O, Kader, Sara, Stephan, Nisha, Halama, Anna, Engelke, Rudolf, Sarwath, Hina, Al-Dous, Eman K, Mohamoud, Yasmin A, Roemisch-Margl, Werner, Adamski, Jerzy, Kastenmüller, Gabi, Friedrich, Nele, Visconti, Alessia, Tsai, Pei-Chien, Spector, Tim, Bell, Jordana T, Falchi, Mario, Wahl, Annika, Waldenberger, Melanie, Peters, Annette, Gieger, Christian, Pezer, Marija, Lauc, Gordan, Graumann, Johannes, Malek, Joel A, Suhre, Karsten
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Sprache:eng
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Zusammenfassung:Abstract 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.
ISSN:0964-6906
1460-2083
DOI:10.1093/hmg/ddy006