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2型神经纤维瘤病中NF2基因错义突变的计算机模拟分析:从基因型到表型

In Silico Analysis of NF2 Gene Missense Mutations in Neurofibromatosis Type 2: From Genotype to Phenotype.

作者信息

Heineman Thomas E, Evans D Gareth R, Campagne Fabien, Selesnick Samuel H

机构信息

*Department of Otolaryngology-Head and Neck Surgery, Weill Cornell Medical College/New York Presbyterian Hospital, New York, New York, U.S.A.; †University Department of Genomic Medicine, University of Manchester, MAHSC, St Mary's Hospital, Manchester, England, U.K.; and ‡Department of Physiology and Biophysics and HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medical College, New York, New York, U.S.A.

出版信息

Otol Neurotol. 2015 Jun;36(5):908-14. doi: 10.1097/MAO.0000000000000639.

Abstract

HYPOTHESIS

Computer-based (in silico) protein modeling to examine genotype-phenotype relationships for a given mutation has been applied to many genes but never to NF2.

BACKGROUND

Missense mutations in the merlin protein occur in approximately 9% of patients with neurofibromatosis type 2 (NF2). Within this subset of patients, no genotype-phenotype correlations have been established. The aim of this study was to determine if genotype correlates with phenotype in the cohort of NF2 patients with missense mutations as a first step to defining a method to predict clinical phenotype from genotype for these patients.

METHODS

We analyzed 45 patients with NF2 as a result of missense mutations drawn from the United Kingdom NF2 registry. Our analysis included 17 different NF2 mutations from NF2 patients and six single-nucleotide polymorphisms (SNP)--presumed benign because they are observed in the dbSNP National Center for Biotechnology Information database and 1000 Genomes. We analyzed the mutations using three mutation tolerance prediction approaches: Align GVGD, SIFT, and PolyPhen-2. The mutation sites were also modeled on the three-dimensional crystal structure of merlin to investigate the spatial relationship of NF2-causing mutations.

RESULTS

Two mutation tolerance predictors (SIFT and PolyPhen-2) were able to distinguish NF2-causing mutations from non-NF2-causing SNPs (p < 0.05). Mapping mutations on the molecular structure of merlin suggest that mutations resulting in greater structural conflicts within the protein are more likely to correlate with severe phenotypes.

CONCLUSION

This work is a step toward a better understanding of genotype-phenotype relationships in NF2 caused by missense mutations using a computer-based methodology.

摘要

假说

基于计算机(虚拟)的蛋白质建模用于研究给定突变的基因型与表型关系,已应用于许多基因,但从未应用于神经纤维瘤病2型(NF2)基因。

背景

在约9%的2型神经纤维瘤病(NF2)患者中,默林蛋白发生错义突变。在这部分患者中,尚未建立基因型与表型的相关性。本研究的目的是确定在患有错义突变的NF2患者队列中基因型是否与表型相关,作为为这些患者从基因型预测临床表型定义方法的第一步。

方法

我们分析了从英国NF2登记处选取的45例因错义突变导致NF2的患者。我们的分析包括来自NF2患者的17种不同的NF2突变和6个单核苷酸多态性(SNP)——因其在NCBI的dbSNP数据库和千人基因组计划中被观察到,故假定为良性。我们使用三种突变耐受性预测方法分析这些突变:Align GVGD、SIFT和PolyPhen-2。还在默林的三维晶体结构上对突变位点进行建模,以研究导致NF2的突变的空间关系。

结果

两种突变耐受性预测器(SIFT和PolyPhen-2)能够将导致NF2的突变与非导致NF2的SNP区分开来(p<0.05)。在默林分子结构上绘制突变表明,导致蛋白质内结构冲突更大的突变更有可能与严重表型相关。

结论

这项工作朝着使用基于计算机的方法更好地理解由错义突变引起的NF2中的基因型-表型关系迈出了一步。

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