| Literature DB >> 26439716 |
James S Ware1,2,3,4, Kaitlin E Samocha1,2,3, Jason Homsy1,5, Mark J Daly1,2,3.
Abstract
Spontaneously arising (de novo) genetic variants are important in human disease, yet every individual carries many such variants, with a median of 1 de novo variant affecting the protein-coding portion of the genome. A recently described mutational model provides a powerful framework for the robust statistical evaluation of such coding variants, enabling the interpretation of de novo variation in human disease. Here we describe a new open-source software package, denovolyzeR, that implements this model and provides tools for the analysis of de novo coding sequence variants.Entities:
Keywords: de novo variant; exome sequencing
Mesh:
Year: 2015 PMID: 26439716 PMCID: PMC4606471 DOI: 10.1002/0471142905.hg0725s87
Source DB: PubMed Journal: Curr Protoc Hum Genet ISSN: 1934-8258