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Functional annotation of non-coding sequence variants

Identifying functionally relevant variants against the background of ubiquitous genetic variation is a major challenge in human genetics. For variants that fall in protein-coding regions our understanding of the genetic code and splicing allow us to identify likely candidates, but interpreting varia...

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Detalles Bibliográficos
Autores principales: Ritchie, Graham R. S., Dunham, Ian, Zeggini, Eleftheria, Flicek, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5015703/
https://www.ncbi.nlm.nih.gov/pubmed/24487584
http://dx.doi.org/10.1038/nmeth.2832
Descripción
Sumario:Identifying functionally relevant variants against the background of ubiquitous genetic variation is a major challenge in human genetics. For variants that fall in protein-coding regions our understanding of the genetic code and splicing allow us to identify likely candidates, but interpreting variants that fall outside of genic regions is more difficult. Here we present a new tool, GWAVA, which supports prioritisation of non-coding variants by integrating a range of annotations.