Cargando…
Network-guided interaction mining for the blood pressure phenotype of unrelated individuals in genetic analysis workshop 19
Interactions between genes are an important part of the genetic architecture of complex diseases. In this paper, we use literature-guided individual genes known to be associated with type 2 diabetes (referred to as “seed genes”) to create a larger list of genes that share implied or direct networks...
Autores principales: | Lo, Adeline, Agne, Michael, Auerbach, Jonathan, Fan, Rachel, Lo, Shaw-Hwa, Wang, Pei, Zheng, Tian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5133535/ https://www.ncbi.nlm.nih.gov/pubmed/27980658 http://dx.doi.org/10.1186/s12919-016-0052-7 |
Ejemplares similares
-
Identifying regions of disease-related variants in admixed populations with the summation partition approach
por: Auerbach, Jonathan, et al.
Publicado: (2016) -
Coping with family structure in genome-wide association studies: a comparative evaluation
por: Hsu, Yayun, et al.
Publicado: (2018) -
Mutational load analysis of unrelated individuals
por: Howrigan, Daniel P, et al.
Publicado: (2011) -
Identity-by-descent mapping for diastolic blood pressure in unrelated Mexican Americans
por: Liu, Xiao-Qing, et al.
Publicado: (2016) -
Identifying influential regions in extremely rare variants using a fixed-bin approach
por: Agne, Michael, et al.
Publicado: (2011)