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.
Keywords
de novo variant
exome sequencing
MeSH Terms
Computational Biology/methods
Gene Frequency
Genetic Predisposition to Disease
Genetic Variation
Genome-Wide Association Study/methods
Humans
Models, Genetic
Models, Statistical
Mutation
Polymorphism, Single Nucleotide
Software
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Ware James S
Department of Genetics, Harvard Medical School, Boston, Massachusetts. | Broad Institute of MIT and Harvard, Cambridge, Massachusetts. | Analytical and Translational Genetics Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts. | NIHR Cardiovascular Biomedical Research Unit at Royal Brompton Hospital and Imperial College London, London, United Kingdom.
Samocha Kaitlin E
Department of Genetics, Harvard Medical School, Boston, Massachusetts. | Broad Institute of MIT and Harvard, Cambridge, Massachusetts. | Analytical and Translational Genetics Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
Homsy Jason
Department of Genetics, Harvard Medical School, Boston, Massachusetts. | Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts.
Daly Mark J
Department of Genetics, Harvard Medical School, Boston, Massachusetts. | Broad Institute of MIT and Harvard, Cambridge, Massachusetts. | Analytical and Translational Genetics Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
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