Research Paper Advance Articles

Cell lineage-specific methylome and genome alterations in gout

Associations of surviving methylation sites with metabolic traits and hyperuricemia. The graphical representation shows monocyte-specific associations between cg22626579, cg10314750, cg03795507, cg10257063, cg16975613, cg16630982, cg12182452, cg17151991, cg26375855 methylation and low density lipoprotein (blue line), triglyceride (red line), HbA1c levels (cyan line) and hyperuricemia (green line). The radii mean minus log10P of monocyte-specific associations between cytosine-phosphate-guanine dinucleotide (CpG) sites and phenotypes. The dashed purple circle shows threshold value of P=0.05. For example, cg17151991 is not monocyte-specifically associated with low density lipoprotein (P=0.6650, minus log10P=0.18), triglyceride (P=0.3715, minus log10P=0.43), HbA1c (P=0.5758, minus log10P=0.24) and hyperuricemia (P=0.2481, minus log10P=0.61). All results are adjusted for sex, age, alcohol drinking, smoking status, smoking history (total pack-years) and cell fractions with CellDMC (see supplementary methods).

Figure 2. Associations of surviving methylation sites with metabolic traits and hyperuricemia. The graphical representation shows monocyte-specific associations between cg22626579, cg10314750, cg03795507, cg10257063, cg16975613, cg16630982, cg12182452, cg17151991, cg26375855 methylation and low density lipoprotein (blue line), triglyceride (red line), HbA1c levels (cyan line) and hyperuricemia (green line). The radii mean minus log10P of monocyte-specific associations between cytosine-phosphate-guanine dinucleotide (CpG) sites and phenotypes. The dashed purple circle shows threshold value of P=0.05. For example, cg17151991 is not monocyte-specifically associated with low density lipoprotein (P=0.6650, minus log10P=0.18), triglyceride (P=0.3715, minus log10P=0.43), HbA1c (P=0.5758, minus log10P=0.24) and hyperuricemia (P=0.2481, minus log10P=0.61). All results are adjusted for sex, age, alcohol drinking, smoking status, smoking history (total pack-years) and cell fractions with CellDMC (see supplementary methods).