背景:编码β-肌球蛋白重链蛋白的MYH7的致病变体,是扩张型和肥厚型心肌病的主要原因。
方法:在本研究中,我们使用全基因组测序数据,在参与韩国国家生物大数据项目试点研究的397例各种心肌病亚型患者中鉴定了MYH7变异.我们还进行了计算机模拟分析,以预测新变体的致病性,将它们与已知的致病性错义变体进行比较。
结果:我们在41例非相关心肌病患者中发现了27个MYH7变异,由20种先前已知的致病/可能的致病变体组成,2个不确定意义的变体,5个新的变种。值得注意的是,致病变体主要聚集在MYH7的肌球蛋白运动域内。我们证实了新发现的变异可能是致病的,如计算机模拟分析中的高预测分数所示,包括SIFT,突变评估员,PROVEAN,PolyPhen-2,CADD,REVEL,MetaLR,MetaRNN,和MetaSVM。此外,我们使用DynaMut2和Missense3D工具评估了它们对蛋白质动力学和稳定性的破坏作用。
结论:总体而言,我们的研究确定了韩国心肌病患者中MYH7变异的分布,通过使用计算机模拟工具丰富新变体的致病性数据,并评估MYH7蛋白的功能和结构稳定性,为改善诊断提供新的见解。
BACKGROUND: Pathogenic variants of MYH7, which encodes the beta-myosin heavy chain protein, are major causes of dilated and hypertrophic cardiomyopathy.
METHODS: In this study, we used whole-genome sequencing data to identify MYH7 variants in 397 patients with various cardiomyopathy subtypes who were participating in the National Project of Bio Big Data pilot study in Korea. We also performed in silico analyses to predict the pathogenicity of the novel variants, comparing them to known pathogenic missense variants.
RESULTS: We identified 27 MYH7 variants in 41 unrelated patients with cardiomyopathy, consisting of 20 previously known pathogenic/likely pathogenic variants, 2 variants of uncertain significance, and 5 novel variants. Notably, the pathogenic variants predominantly clustered within the myosin motor domain of MYH7. We confirmed that the novel identified variants could be pathogenic, as indicated by high prediction scores in the in silico analyses, including SIFT, Mutation Assessor, PROVEAN, PolyPhen-2, CADD, REVEL, MetaLR, MetaRNN, and MetaSVM. Furthermore, we assessed their damaging effects on protein dynamics and stability using DynaMut2 and Missense3D tools.
CONCLUSIONS: Overall, our study identified the distribution of MYH7 variants among patients with cardiomyopathy in Korea, offering new insights for improved diagnosis by enriching the data on the pathogenicity of novel variants using in silico tools and evaluating the function and structural stability of the MYH7 protein.