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首页> 外文期刊>Methods: A Companion to Methods in Enzymology >Probe Lasso: A novel method to rope in differentially methylated regions with 450K DNA methylation data
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Probe Lasso: A novel method to rope in differentially methylated regions with 450K DNA methylation data

机译:Lasso探针:一种用450K DNA甲基化数据在差异甲基化区域中固定的新方法

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摘要

The speed and resolution at which we can scour the genome for DNA methylation changes has improved immeasurably in the last 10 years and the advent of the Illumina 450K BeadChip has made epigenome-wide association studies (EWAS) a reality. The resulting datasets are conveniently formatted to allow easy alignment of significant hits to genes and genetic features, however; methods that parse significant hits into discreet differentially methylated regions (DMRs) remain a challenge to implement. In this paper we present details of a novel DMR caller, the Probe Lasso: a flexible window based approach that gathers neighbouring significant-signals to define clear DMR boundaries for subsequent in-depth analysis. The method is implemented in the R package ChAMP (Morris et al., 2014) and returns sets of DMRs according to user-tuned levels of probe filtering (e.g., inclusion of sex chromosomes, polymorphisms) and probe-lasso size distribution. Using a sub-sample of colon cancer- and healthy colon-samples from TCGA we show that Probe Lasso shifts DMR calling away from just probe-dense regions, and calls a range of DMR sizes ranging from tens-of-bases to tens-of-kilobases in scale. Moreover, using TCGA data we show that Probe Lasso leverages more information from the array and highlights a potential role of hypomethylated transcription factor binding motifs not discoverable using a basic, fixed-window approach. (C) 2014 The Authors. Published by Elsevier Inc.
机译:在过去的十年中,我们搜寻基因组以进行DNA甲基化变化的速度和分辨率得到了不可估量的提高,Illumina 450K BeadChip的问世使表观基因组范围的关联研究(EWAS)成为现实。生成的数据集可以方便地进行格式化,以使重要命中的基因和遗传特征容易对齐。将重要内容解析为谨慎的差异甲基化区域(DMR)的方法仍然是实施挑战。在本文中,我们将介绍新型DMR调用程序Probe Lasso的详细信息:一种基于窗口的灵活方法,该方法可收集相邻的有效信号以定义清晰的DMR边界,以便进行后续的深入分析。该方法在R包ChAMP中实现(Morris等,2014),并根据用户调整的探针过滤水平(例如,性染色体的包含,多态性)和探针套索大小分布返回DMR集。使用来自TCGA的结肠癌子样本和健康结肠样本,我们显示Lasso探针将DMR调用从仅探针密集的区域移开,并调用了DMR大小范围从数十个碱基到数十个-千碱基的规模。此外,使用TCGA数据,我们显示探针套索利用了来自阵列的更多信息,并强调了使用基本的固定窗口方法无法发现的低甲基化转录因子结合基序的潜在作用。 (C)2014作者。由Elsevier Inc.发布

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