Cargando…
Candidate disease gene prediction using Gentrepid: application to a genome-wide association study on coronary artery disease
Current single-locus-based analyses and candidate disease gene prediction methodologies used in genome-wide association studies (GWAS) do not capitalize on the wealth of the underlying genetic data, nor functional data available from molecular biology. Here, we analyzed GWAS data from the Wellcome T...
Autores principales: | Ballouz, Sara, Liu, Jason Y, Oti, Martin, Gaeta, Bruno, Fatkin, Diane, Bahlo, Melanie, Wouters, Merridee A |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wiley Periodicals
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3907915/ https://www.ncbi.nlm.nih.gov/pubmed/24498628 http://dx.doi.org/10.1002/mgg3.40 |
Ejemplares similares
-
Gentrepid V2.0: a web server for candidate disease gene prediction
por: Ballouz, Sara, et al.
Publicado: (2013) -
Analysis of genome-wide association study data using the protein knowledge base
por: Ballouz, Sara, et al.
Publicado: (2011) -
Comparison of automated candidate gene prediction systems using genes implicated in type 2 diabetes by genome-wide association studies
por: Teber, Erdahl T, et al.
Publicado: (2009) -
Novel therapeutics for coronary artery disease from genome-wide association study data
por: Grover, Mani P, et al.
Publicado: (2015) -
Analysis of protein sequence and interaction data for candidate disease gene prediction
por: George, Richard A., et al.
Publicado: (2006)