Cargando…
Enhancing the discovery of rare disease variants through hierarchical modeling
Advances in next-generation sequencing technology are enabling researchers to capture a comprehensive picture of genomic variation across large numbers of individuals with unprecedented levels of efficiency. The main analytic challenge in disease mapping is how to mine the data for rare causal varia...
Autor principal: | Chen, Gary K |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3287850/ https://www.ncbi.nlm.nih.gov/pubmed/22373042 http://dx.doi.org/10.1186/1753-6561-5-S9-S16 |
Ejemplares similares
-
Disease risk prediction with rare and common variants
por: Wu, Chengqing, et al.
Publicado: (2011) -
Genome-wide discovery of maternal effect variants
por: Kent, Jack W, et al.
Publicado: (2009) -
Hierarchical modeling in association studies of multiple phenotypes
por: Liu, Xin, et al.
Publicado: (2005) -
Identification of multiple rare variants associated with a disease
por: Jung, Jeesun, et al.
Publicado: (2011) -
Identifying causal rare variants of disease through family-based analysis of Genetics Analysis Workshop 17 data set
por: Yip, Wai-Ki, et al.
Publicado: (2011)