title: From an SNP to a Disease: A Comprehensive Statistical Analysis.
abstract: Understanding and linking at the molecular level a disease phenotype to a specific genotype often requires going through a protein structure and function. In this issue of Structure, Gao et al. (2015) perform large scale analysis of available sequences and structural data for more than 6000 mutants representing more than 600 proteins to uncover some interesting structural effects of disease-associated mutations.
authors.affiliation: Department of Chemistry and Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, TX 78712, USA. Electronic address: ron@ices.utexas.edu.
authors.forename: Ron
authors.initials: R
authors.lastname: Elber
mesh_terms: D006801:Humans; D020125:Mutation, Missense; D020543:Proteome / Q000235:genetics*
chemical_list: D020543:Proteome