Cargando…
High-throughput analysis of epistasis in genome-wide association studies with BiForce
Motivation: Gene–gene interactions (epistasis) are thought to be important in shaping complex traits, but they have been under-explored in genome-wide association studies (GWAS) due to the computational challenge of enumerating billions of single nucleotide polymorphism (SNP) combinations. Fast scre...
Autores principales: | Gyenesei, Attila, Moody, Jonathan, Semple, Colin A.M., Haley, Chris S., Wei, Wen-Hua |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3400955/ https://www.ncbi.nlm.nih.gov/pubmed/22618535 http://dx.doi.org/10.1093/bioinformatics/bts304 |
Ejemplares similares
-
BiForce Toolbox: powerful high-throughput computational analysis of gene–gene interactions in genome-wide association studies
por: Gyenesei, Attila, et al.
Publicado: (2012) -
Properties of Local Interactions and Their Potential Value in Complementing Genome-Wide Association Studies
por: Wei, Wenhua, et al.
Publicado: (2013) -
Genome-wide analysis of epistasis in body mass index using multiple human populations
por: Wei, Wen-Hua, et al.
Publicado: (2012) -
Epistasis Analysis Goes Genome-Wide
por: Zhang, Jianzhi
Publicado: (2017) -
SuperDCA for genome-wide epistasis analysis
por: Puranen, Santeri, et al.
Publicado: (2018)