Distribution of single‐nucleotide variants on protein–protein interaction sites and its relationship with minor allele frequency. (9th December 2015)

• Record Type: Journal Article
• Authors: Nishi, Hafumi; Nakata, Junichi; Kinoshita, Kengo
• Is Part Of: Protein science. Volume 25:Number 2(2016:Feb.)
• Page Start: 316
• Page End: 321
• Publication Date: 2015-12-09
• Subjects: protein complex -- protein–protein interface -- rare variants -- nonsynonymous mutations -- 3D structure; Proteins -- Periodicals; 572.6
• DOI: 10.1002/pro.2845
• Languages: English
• ISSNs: 0961-8368

Abstract

Abstract: Recent advances in DNA sequencing techniques have identified rare single‐nucleotide variants with less than 1% minor allele frequency. Despite the growing interest and physiological importance of rare variants in genome sciences, less attention has been paid to the allele frequency of variants in protein sciences. To elucidate the characteristics of genetic variants on protein interaction sites, from the viewpoints of the allele frequency and the structural position of variants, we mapped about 20, 000 human SNVs onto protein complexes. We found that variants are less abundant in protein interfaces, and specifically the core regions of interfaces. The tendency to "avoid" the interfacial core is stronger among common variants than rare variants. As amino acid substitutions, the trend of mutating amino acids among rare variants is consistent in different interfacial regions, reflecting the fact that rare variants result from random mutations in DNA sequences, whereas amino acid changes of common variants vary between the interfacial core and rim regions, possibly due to functional constraints on proteins. This study illustrated how the allele frequency of variants relates to the protein structural regions and the functional sites in general and will lead to deeper understanding of the potential deleteriousness of rare variants at the structural level. Exceptional cases of the observed trends will shed light on the limitations of structural approaches to evaluate the functional impacts of variants.