通过β回归中的聚类鉴定异质跨代DNA甲基化位点
Identifying heterogeneous transgenerational DNA methylation sites via clustering in beta regression
摘要：
本文通过聚类方法探讨了跨代DNA甲基化模式（DNA甲基化从一代传递到下一代）。Beta回归用于在种群水平上模拟从父母到他们的后代的传播模式。为了实现这一目标，提出了一种期望最大化算法的参数估计以及BIC标准，以确定集群的数量。将该方法应用于41个母亲-父亲-婴儿三联体的4063个CpG位点组成的DNA甲基化数据，我们确定了一组CpG位点，其中DNA甲基化传递由父亲主导，而在大量的CpG位点中，DNA甲基化主要由母亲传递给后代。
英文摘要：
This paper explores the transgenerational DNA methylation pattern (DNA methylation transmitted from one generation to the next) via a clustering approach. Beta regression is employed to model the transmission pattern from parents to their offsprings at the population level. To facilitate this goal, an expectation maximization algorithm for parameter estimation along with a BIC criterion to determine the number of clusters is proposed. Applying our method to the DNA methylation data composed of 4063 CpG sites of 41 mother-father-infant triads, we identified a set of CpG sites in which DNA methylation transmission is dominated by fathers, while at a large number of CpG sites, DNA methylation is mainly maternally transmitted to the offspring.
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