Alexander Alsup, Emily Nissen, Lucas A Salas, Annette M Molinaro, Alexander Reiner, Simin Liu, Tracy E Madsen, Longjian Liu, Paul L Auer, Brock C Christensen, John K Wiencke, Karl T Kelsey, Devin C Koestler
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引用次数: 0
摘要
基于 DNA 甲基化(DNAm)的解卷积估算包含相对数据,形成一种组成,而标准方法(直接测试细胞比例)不适合处理这种数据。在这项研究中,我们考察了一种替代方法--微生物组成分分析(ANCOM)--在分析基于 DNAm 的解卷积估计值时的性能。我们进行了两项不同的模拟研究,将 ANCOM 与标准方法(直接对细胞比例进行双样本 t 检验)进行了比较,并分析了来自妇女健康倡议的真实世界数据,以评估 ANCOM 对基于 DNAm 的解卷积估计的适用性。我们的研究结果表明,ANCOM 可以有效地解释基于 DNAm 的解卷积估计值的组成性质。ANCOM 可以充分控制错误发现率,同时保持与标准方法相当的统计能力。
An assessment of compositional methods for the analysis of DNA methylation-based deconvolution estimates.
DNA methylation (DNAm)-based deconvolution estimates contain relative data, forming a composition, that standard methods (testing directly on cell proportions) are ill-suited to handle. In this study we examined the performance of an alternative method, analysis of compositions of microbiomes (ANCOM), for the analysis of DNAm-based deconvolution estimates. We performed two different simulation studies comparing ANCOM to a standard approach (two sample t-test performed directly on cell proportions) and analyzed a real-world data from the Women's Health Initiative to evaluate the applicability of ANCOM to DNAm-based deconvolution estimates. Our findings indicate that ANCOM can effectively account for the compositional nature of DNAm-based deconvolution estimates. ANCOM adequately controls the false discovery rate while maintaining statistical power comparable to that of standard methods.
期刊介绍:
Epigenomics provides the forum to address the rapidly progressing research developments in this ever-expanding field; to report on the major challenges ahead and critical advances that are propelling the science forward. The journal delivers this information in concise, at-a-glance article formats – invaluable to a time constrained community.
Substantial developments in our current knowledge and understanding of genomics and epigenetics are constantly being made, yet this field is still in its infancy. Epigenomics provides a critical overview of the latest and most significant advances as they unfold and explores their potential application in the clinical setting.