Cargando…
Identifying rare variants using a Bayesian regression approach
Recent advances in next-generation sequencing technologies have made it possible to generate large amounts of sequence data with rare variants in a cost-effective way. Statistical methods that test variants individually are underpowered to detect rare variants, so it is desirable to perform associat...
Autores principales: | Yan, Aimin, Laird, Nan M, Li, Cheng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3287941/ https://www.ncbi.nlm.nih.gov/pubmed/22373362 http://dx.doi.org/10.1186/1753-6561-5-S9-S99 |
Ejemplares similares
-
Identifying rare and common variants with Bayesian variable selection
por: Oh, Cheongeun
Publicado: (2016) -
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) -
A clustering approach to identify rare variants associated with hypertension
por: Sun, Rui, et al.
Publicado: (2016) -
Identifying influential regions in extremely rare variants using a fixed-bin approach
por: Agne, Michael, et al.
Publicado: (2011) -
Detection of rare variant effects in association studies: extreme values, iterative regression, and a hybrid approach
por: Zhang, Zhaogong, et al.
Publicado: (2011)