Randall Division of Cell and Molecular Biophysics, King's College London London, UK.
Randall Division of Cell and Molecular Biophysics, King's College London London, UK ; Department of Haematological Medicine, King's College London London, UK.
Front Mol Biosci. 2015 Aug 12;2:47. doi: 10.3389/fmolb.2015.00047. eCollection 2015.
Integration of protein structural information with human genetic variation and pathogenic mutations is essential to understand molecular mechanisms associated with the effects of polymorphisms on protein interactions and cellular processes. We investigate occurrences of non-synonymous SNPs in ordered and disordered protein regions by systematic mapping of common variants and disease-related SNPs onto these regions. We show that common variants accumulate in disordered regions; conversely pathogenic variants are significantly depleted in disordered regions. These different occurrences of pathogenic and common SNPs can be attributed to a negative selection on random mutations in structurally highly constrained regions. New approaches in the study of quantitative effects of pathogenic-related mutations should effectively account for all the possible contexts and relative functional constraints in which the sequence variation occurs.
将蛋白质结构信息与人类遗传变异和致病突变相结合对于理解多态性对蛋白质相互作用和细胞过程影响的分子机制至关重要。我们通过将常见变体和疾病相关 SNP 系统映射到这些区域,研究了有序和无序蛋白质区域中非同义 SNP 的发生情况。我们发现常见变体在无序区域中积累;相反,致病变体在无序区域中显著减少。这些致病和常见 SNP 的不同发生情况可以归因于结构上高度受限区域中对随机突变的负选择。研究与致病性相关突变的定量影响的新方法应该有效地考虑到序列变异发生的所有可能的上下文和相对功能约束。