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Risk alleles of genes with monoallelic expression are enriched in gain-of-function variants and depleted in loss-of-function variants for neurodevelopmental disorders

机译:具有单等位基因表达的基因的风险等位基因富含功能获得型变体而功能丧失型变体则被神经发育障碍所耗竭

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摘要

Over 3,000 human genes can be expressed from a single allele in one cell, and from the other allele – or both – in neighboring cells. Little is known about the consequences of this epigenetic phenomenon, monoallelic expression (MAE). We hypothesized that MAE increases expression variability, with potential impact on human disease. Here, we use a chromatin signature to infer MAE for genes in lymphoblastoid cell lines and human fetal brain tissue. We confirm that across clones, MAE status correlates with expression level, and that in human tissue datasets, MAE genes show increased expression variability. We then compare mono- and biallelic genes at three distinct scales. In the human population, we observe that genes with polymorphisms influencing expression variance are more likely to be MAE (P < 1.1 × 10−6). At the trans-species level, we find gene expression differences and directional selection between humans and chimpanzees more common among MAE genes (P < 0.05). Extending to human disease, we show that MAE genes are underrepresented in neurodevelopmental CNVs (P < 2.2×10−10) suggesting that pathogenic variants acting via expression level are less likely to involve MAE genes. Using neuropsychiatric SNP and SNV data, we see that genes with pathogenic expression-altering or loss-of-function variants are less likely MAE (P < 7.5×10−11) and genes with only missense or gain-of-function variants are more likely MAE (P < 1.4×10−6). Together, our results suggest that MAE genes tolerate a greater range of expression level than BAE genes and this information may be useful in prediction of pathogenicity.
机译:可以在一个细胞中的一个等位基因和在邻近细胞中的另一个等位基因(或两者)表达3,000多种人类基因。关于这种表观遗传现象,单等位基因表达(MAE)的后果知之甚少。我们假设MAE增加了表达变异性,对人类疾病具有潜在影响。在这里,我们使用染色质签名来推断MAE的淋巴母细胞和人类胎儿脑组织中的基因。我们证实,跨克隆,MAE状态与表达水平相关,并且在人体组织数据集中,MAE基因显示出增加的表达变异性。然后,我们在三个不同的规模上比较了单等位基因和双等位基因。在人群中,我们观察到具有多态性影响表达差异的基因更有可能是MAE(P <1.1×10 -6 )。在跨物种水平上,我们发现人与黑猩猩之间的基因表达差异和方向选择在MAE基因之间更为常见(P <0.05)。扩展到人类疾病,我们表明,MAE基因在神经发育CNV中的代表性不足(P <2.2×10 −10 ),这表明通过表达水平起作用的致病变体不太可能涉及MAE基因。使用神经精神病学SNP和SNV数据,我们发现具有致病性表达改变或功能丧失变异的基因发生MAE的可能性较小(P <7.5×10 −11 ),而基因只有错义或获得性功能变型更可能是MAE(P <1.4×10 -6 )。在一起,我们的结果表明,MAE基因比BAE基因具有更大的表达水平范围,该信息可能有助于预测致病性。

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