在微阵列和甲基化测序技术中分析变异性和表观遗传年龄预测
Maxim N Shokhirev1, Adiv A Johnson2
1Tally Health, New York, NY, USA. max@tallyhealth.com.
GeroScience
|August 10, 2025
概括
通过比较甲基化测序和阵列技术,主要组件训练后的表观遗传钟表表现出尽管技术变化,但具有强度. 仔细的选择和特定技术的调整对于准确的年龄预测和可重现性至关重要.
科学领域:
- 表观遗传学 在表观遗传学中,表观遗传学是指表观遗传学.
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
背景情况:
- 表观遗传钟对于估计生物年龄至关重要.
- 对表观遗传时钟应用的不同技术进行比较对于数据解释至关重要.
研究的目的:
- 为了比较Infinium MethylationEPIC v2.0数组和Twist Human Methylome Panel之间的技术变化和信号强度.
- 在这些技术中评估主要组件 (PC) 训练表观遗传钟的稳定性和可重复性.
主要方法:
- 使用了来自成年鱼队伍的100个技术复制样本.
- 从MethylationEPIC数组和753,648个共享CpG的Twist甲基化测序中比较甲基化数据.
- 通过使用平均绝对复制差 (MRD) 评估了四个经过PC训练的表观遗传钟 (pcHorvath1,pcHorvath2,pcHannum,pcDNAm PhenoAge) 的可重复性.
主要成果:
- 与MethylationEPIC数组相比,扭曲甲基化测序显示出偏斜的分布和较少的相关CpG.
- 甲基化EPIC阵列显示出更高的信号强度,而CpG的子集在两个平台上表现良好.
- 经过PC训练的表观遗传钟表表现出强度,根据钟表和技术的可重复性不同;非PC版本的可重复性明显较低.
结论:
- 主要组件培训增强了表观遗传时钟在不同甲基化技术中的强度和可重复性.
- 技术特定的调整和仔细的时钟选择对于准确的表观遗传年龄估计至关重要.
- 甲基化数据生成的差异会影响表观遗传时钟的性能,需要谨慎的解释.
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