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Promoter CpG Density Predicts Downstream Gene Loss-of-Function Intolerance

机译:启动子CpG密度预测弱势损失的不耐受性

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摘要

The aggregation and joint analysis of large numbers of exome sequences has recently made it possible to derive estimates of intolerance to loss-of-function (LoF) variation for human genes. Here, we demonstrate strong and widespread coupling between genic LoF intolerance and promoter CpG density across the human genome. Genes downstream of the most CpG-rich promoters (top 10% CpG density) have a 67.2% probability of being highly LoF intolerant, using the LOEUF metric from gnomAD. This is in contrast to 7.4% of genes downstream of the most CpG-poor (bottom 10% CpG density) promoters. Combining promoter CpG density with exonic and promoter conservation explains 33.4% of the variation in LOEUF, and the contribution of CpG density exceeds the individual contributions of exonic and promoter conservation. We leverage this to train a simple and easily interpretable predictive model that outperforms other existing predictors and allows us to classify 1,760 genes—which are currently unascertained in gnomAD—as highly LoF intolerant or not. These predictions have the potential to aid in the interpretation of novel variants in the clinical setting. Moreover, our results reveal that high CpG density is not merely a generic feature of human promoters but is preferentially encountered at the promoters of the most selectively constrained genes, calling into question the prevailing view that CpG islands are not subject to selection.
机译:最近,大量exome序列的聚集和联合分析最近可能导出对人类基因的功能丧失(LOF)变异的不耐受的估计。在这里,我们在人类基因组中展示了基因Lof Inor and和启动子CpG密度之间的强烈和广泛的耦合。使用来自GNOMAD的LOEUF度量,最高富含CpG的启动子(最高10%CPG密度)的基因具有67.2%的概率高度较高的概率。这与大多数CpG贫乏(底部10%CPG密度)启动子下游的基因的7.4%相反。将启动子CPG密度与外源和启动子保护解释为LOEUF变异的33.4%,CPG密度的贡献超过了偏振和启动子保护的个人贡献。我们利用这一点来训练一个简单且易于解释的预测模型,以满足其他现有的预测因子,并允许我们分类1,760个基因 - 目前在GNOMAD中令人生畏 - 高度升高的不宽容。这些预测有可能有助于解释临床环境中的新型变体。此外,我们的结果表明,高CPG密度不仅仅是人体启动子的通用特征,而且优先在最有灵感受约束的基因的启动子上遇到,调用CPG岛不受选择的普遍观点。

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