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

机译:启动子CpG密度预测下游基因失去功能性不耐受性

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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:大量外显子组序列的聚合和联合分析最近使人们有可能得出人类基因对功能丧失(LoF)变异的不耐受性估计。在这里,我们展示了人类基因组中基因LoF不耐受和启动子CpG密度之间的强耦合和广泛耦合。使用gnomAD的LOEUF度量,大多数富含CpG的启动子(CpG密度最高的10%)下游的基因具有67.2%的高度LoF不耐受概率。这与最缺乏CpG(CpG密度最低的10%)启动子下游7.4%的基因形成对比。将启动子CpG密度与外显子和启动子保守性相结合解释了LOEUF中33.4%的变异,CpG密度的贡献超过了外显子和启动子保守性的个体贡献。我们利用这一点来训练一个简单且易于解释的预测模型,该模型优于其他现有的预测因子,并允许我们将目前在gnomAD中未确定的1760个基因分类为高度LoF不耐受或非高度LoF不耐受。这些预测可能有助于解释临床环境中的新变异。此外,我们的结果表明,高CpG密度不仅是人类启动子的一个普遍特征,而且优先出现在最具选择性限制基因的启动子上,这对CpG岛不受选择影响的普遍观点提出了质疑。

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