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Title page for ETD etd-02272017-124227


Type of Document Master's Thesis
Author Sivley, Robert Michael
URN etd-02272017-124227
Title Comprehensive Analysis of the Spatial Distribution of Missense Variants in Protein Structures Reveals Patterns Predictive of Pathogenicity
Degree Master of Science
Department Biomedical Informatics
Advisory Committee
Advisor Name Title
John A. Capra Committee Co-Chair
William S. Bush Committee Co-Chair
Jens Meiler Committee Member
Keywords
  • ripleys k
  • spatial
  • genomics
  • genetics
  • protein structure
Date of Defense 2016-09-06
Availability restrictone
Abstract
The spatial distribution of genetic variation within proteins is shaped by evolutionary constraint and thus can provide insights into the functional importance of protein regions and the potential pathogenicity of protein alterations. To facilitate the spatial analysis of coding variation in protein structure, we develop PDBMap, an automated pipeline for mapping genetic variants into all solved and predicted protein structures. We then comprehensively evaluate the 3D spatial patterns of constraint on human germline and somatic variation in 4,568 solved protein structures. Different classes of coding variants have significantly different spatial distributions. Neutral missense variants exhibit a range of 3D constraint patterns, with a general trend of spatial dispersion driven by constraint on core residues. In contrast, germline and variants are significantly more likely to be clustered in protein structure space. Finally, we demonstrate that this difference in the spatial distributions of disease-associated and benign germline variants provides a signature for accurately classifying variants of unknown significance (VUS) that is complementary to current approaches for VUS classification.
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