Integrative Bayesian variable selection with gene-based informative priors for genome-wide association studies

BACKGROUND: Genome-wide Association Studies (GWAS) are typically designed to identify phenotype-associated single nucleotide polymorphisms (SNPs) individually using univariate analysis methods. Though providing valuable insights into genetic risks of common diseases, the genetic variants identified...

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Detalles Bibliográficos
Autores principales: Zhang, Xiaoshuai, Xue, Fuzhong, Liu, Hong, Zhu, Dianwen, Peng, Bin, Wiemels, Joseph L, Yang, Xiaowei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4275962/
https://www.ncbi.nlm.nih.gov/pubmed/25491445
http://dx.doi.org/10.1186/s12863-014-0130-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4275962/
https://www.ncbi.nlm.nih.gov/pubmed/25491445
http://dx.doi.org/10.1186/s12863-014-0130-7

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