School of Mathematics, Harbin Institute of Technology, Harbin, Heilongjiang, China.
Methods Mol Biol. 2022;2432:101-111. doi: 10.1007/978-1-0716-1994-0_8.
With the rapid development of methylation profiling technology, many datasets are generated to quantify genome-wide methylation patterns. Given the heavy burden of multiple testing of hundreds of thousands of DNA methylation markers, individual studies often have limited sample sizes and power. The EWAS meta-analysis is an approach that combines results from multiple studies on the same scientific question. It helps to improve statistical power by combining information from individual studies and reduce the chances of false positives. This chapter introduces commonly used meta-analysis methods and analytical tools with application to EWAS data.
随着甲基化分析技术的快速发展，产生了许多用于量化全基因组甲基化模式的数据集。考虑到对数十万 DNA 甲基化标记物进行多次测试的沉重负担，个别研究通常样本量有限且统计效能不足。EWAS 荟萃分析是一种结合了针对同一科学问题的多项研究结果的方法。通过合并来自各个研究的信息，它有助于提高统计效能并降低假阳性的可能性。本章介绍了常用于 EWAS 数据的荟萃分析方法和分析工具。
