Genome bioinformatic analysis of nonsynonymous SNPs

David Burke, CL Worth, EM Priego, T Cheng, LJ Smink, John Todd & Thomas Blundell
Abstract Background Genome-wide association studies of common diseases for common, low penetrance causal variants are underway. A proportion of these will alter protein sequences, the most common of which is the non-synonymous single nucleotide polymorphism (nsSNP). It would be an advantage if the functional effects of an nsSNP on protein structure and function could be predicted, both for the final identification process of a causal variant in a disease-associated chromosome region, and in further functional...

This data repository is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.