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胚性神经纤维瘤热点的鉴定

Identification of Germinal Neurofibromin Hotspots.

作者信息

Lois Sergio, Báez-Flores Juan, Isidoro-García María, Lacal Jesus, Triviño Juan Carlos

机构信息

Department of Bioinformatics, Sistemas Genómicos, 46980 Paterna, Spain.

Institute for Biomedical Research of Salamanca (IBSAL), 37007 Salamanca, Spain.

出版信息

Biomedicines. 2022 Aug 21;10(8):2044. doi: 10.3390/biomedicines10082044.

Abstract

Neurofibromin is engaged in many cellular processes and when the proper protein functioning is impaired, it causes neurofibromatosis type 1 (), one of the most common inherited neurological disorders. Recent advances in sequencing and screening of the gene have increased the number of detected variants. However, the correlation of these variants with the clinic remains poorly understood. In this study, we analyzed 4610 germinal variants annotated in ClinVar and determined on exon level the mutational spectrum and potential pathogenic regions. Then, a binomial and sliding windows test using 783 benign and 938 pathogenic variants were analyzed against functional and structural regions of neurofibromin. The distribution of synonymous, missense, and frameshift variants are statistically significant in certain regions of neurofibromin suggesting that the type of variant and its associated phenotype may depend on protein disorder. Indeed, there is a negative correlation between the pathogenic fraction prediction and the disorder data, suggesting that the higher an intrinsically disordered region is, the lower the pathogenic fraction is and vice versa. Most pathogenic variants are associated to and our analysis suggests that GRD, CSRD, TBD, and Armadillo1 domains are hotspots in neurofibromin. Knowledge about genotype-phenotype correlations can provide prognostic guidance and aid in organ-specific surveillance.

摘要

神经纤维瘤蛋白参与许多细胞过程,当其正常的蛋白质功能受损时,会引发1型神经纤维瘤病(Neurofibromatosis type 1),这是最常见的遗传性神经疾病之一。该基因测序和筛查方面的最新进展增加了检测到的变异数量。然而,这些变异与临床症状之间的相关性仍知之甚少。在本研究中,我们分析了ClinVar中注释的4610个胚系变异,并在基因外显子水平上确定了突变谱和潜在致病区域。然后,使用783个良性变异和938个致病变异,针对神经纤维瘤蛋白的功能和结构区域进行二项式和滑动窗口测试。同义变异、错义变异和移码变异的分布在神经纤维瘤蛋白的某些区域具有统计学意义,这表明变异类型及其相关表型可能取决于蛋白质的无序性。事实上,致病分数预测与无序数据之间存在负相关,这表明内在无序区域越高,致病分数越低,反之亦然。大多数致病变异与……相关,我们的分析表明,GRD、CSRD、TBD和犰狳1结构域是神经纤维瘤蛋白中的热点区域。关于基因型 - 表型相关性的知识可以提供预后指导,并有助于进行器官特异性监测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c060/9405573/bd23bc4ad1f1/biomedicines-10-02044-g001.jpg

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