Significant CpG sites in a linear regression model.

Methylation treated as a continuous outcome (M-values: PBC and COMBAT on chip) and menarcheal age category (>11 vs. ≤11 years) treated as a categorical exposure. Adjusting for age at blood collection, case-control status, and position on the chip.Analysis of all subjects or of only the 240 subjects that remained healthy for at least 5 years following recruitment yielded the same results.∝P value from a liner regression model where methylation is treated as a continuous outcome (M-values: PBC and COMBAT on chip) and the effect of age at menarche as a categorical variable (>11 vs. ≤11 years), adjusted for age, case-control status, and chip position.≠Q value: False Discovery Rate (FDR) corrected P-value.≈The regression coefficient for each probe; change in methylation for having an age at menarche >11 years vs. ≤11 years.

将甲基化作为连续型结局指标（甲基化M值（M-values）：芯片上的PBC与COMBAT检测数据），并将初潮年龄类别（>11岁与≤11岁）作为分类暴露因素。校正采血年龄、病例-对照状态以及芯片位置。对全部受试者或仅纳入招募后至少5年仍保持健康的240名受试者进行分析，所得结果一致。∝ 基于线性回归模型得到的P值：该模型以甲基化作为连续型结局指标（M值：芯片上的PBC与COMBAT检测数据），将初潮年龄作为分类变量（>11岁与≤11岁）的效应纳入分析，并校正年龄、病例-对照状态及芯片位置。≠ 校正Q值：即经错误发现率（False Discovery Rate, FDR）校正的P值。≈ 每个探针的回归系数，即初潮年龄>11岁与≤11岁人群的甲基化水平变化量。