Epigenetic clocks and methylation scores, explained
What each DNA-methylation measure Orviva computes actually is, what a high or low value means, which published interventions moved it, and the papers behind it.
Epigenetic clocks
Age acceleration
Methylation risk scores
Protein EpiScores
Immune cell composition
CD4+ T cellsCD4+ T 细胞比例CD8+ T cellsCD8+ T 细胞比例Natural Killer cellsNK 细胞比例B cellsB 细胞比例Monocytes单核细胞比例Granulocytes粒细胞比例CD4+ T cells — naiveCD4+ T 初始细胞比例CD4+ T cells — memoryCD4+ T 记忆细胞比例CD8+ T cells — naiveCD8+ T 初始细胞比例CD8+ T cells — memoryCD8+ T 记忆细胞比例T regulatory cells调节性 T 细胞比例 (Treg)B cells — naiveB 初始细胞比例B cells — memoryB 记忆细胞比例Neutrophils中性粒细胞比例Eosinophils嗜酸性粒细胞比例Basophils嗜碱性粒细胞比例
Compute all of these from your own methylation array
Upload an Illumina 450k / EPIC or WeGene methylation CSV →
Upload an Illumina 450k / EPIC or WeGene methylation CSV →
Epigenetic clocks are research-grade estimates with a test-retest noise of several years. A single result is a snapshot, not a verdict; trends over repeated samples are what carry information. For general education only — not a diagnosis or a substitute for medical advice.