在illumina DNA甲基化微阵列中测量技术变异性.
Anderson A Butler1, Jason J Kras1,2, Karolina P Chwalek1
1VoLo Foundation, Jupiter, Florida.
PloS one
|July 11, 2025
概括
在DNA甲基化微阵列数据中的技术变异性,特别是室偏差,可以导致差异甲基化测试中的假阳性结果,并影响健康特征的预测模型.
科学领域:
- 表观遗传学和基因组学
- 生物医学研究生物医学研究
- 计算生物学 计算生物学
背景情况:
- DNA甲基化微阵列对于研究表观遗传修饰至关重要.
- 微阵列数据的技术变化使下游分析复杂化,包括预测建模.
- 定位偏差是技术变化的重要,但经常被低估的来源.
研究的目的:
- 量化技术变异对Illumina DNA甲基化微阵列数据的影响.
- 专门研究微阵列技术中的位置偏差,例如室效应.
- 评估这些偏差对差异甲基化测试和预测建模的影响.
主要方法:
- 利用来自DNA甲基化微阵列的高度相似的技术复制的数据集.
- 在不同的微阵列室中分析了光强度 (FI) 和甲基化β值.
- 评估了现有的预处理方法在纠正已识别的偏差方面的有效性.
主要成果:
- 确定了显著的室数偏差,导致FI和β值的系统差异.
- 证明现有的预处理方法对于这种位置偏差只能部分正确.
- 展示了房间偏差可以导致差异甲基化试验中的错误阳性结果.
- 在低水平光数据中检测到异常值,这可能会导致与健康相关模型中的预测错误.
结论:
- 位置偏差,特别是室效应,是DNA甲基化微阵列数据中技术变异的关键来源.
- 目前的预处理方法不足以完全缓解这些偏差.
- 这些偏见可能会损害表观遗传研究的准确性,导致虚假的发现,并影响健康和疾病的预测模型的可靠性.
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