Cargando…
Mixture SNPs effect on phenotype in genome-wide association studies
BACKGROUND: Recently mixed linear models are used to address the issue of “missing" heritability in traditional Genome-wide association studies (GWAS). The models assume that all single-nucleotide polymorphisms (SNPs) are associated with the phenotypes of interest. However, it is more common th...
Autores principales: | Wang, Ling, Shen, Haipeng, Liu, Hexuan, Guo, Guang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4417323/ https://www.ncbi.nlm.nih.gov/pubmed/25649116 http://dx.doi.org/10.1186/1471-2164-16-3 |
Ejemplares similares
-
Inference of kinship using spatial distributions of SNPs for genome-wide association studies
por: Lee, Hyokyeong, et al.
Publicado: (2016) -
MegaSNPHunter: a learning approach to detect disease predisposition SNPs and high level interactions in genome wide association study
por: Wan, Xiang, et al.
Publicado: (2009) -
Genome bioinformatic analysis of nonsynonymous SNPs
por: Burke, David F, et al.
Publicado: (2007) -
LD-Spline: Mapping SNPs on genotyping platforms to genomic regions using patterns of linkage disequilibrium
por: Bush, William S, et al.
Publicado: (2009) -
An Analysis Pipeline for Genome-wide Association Studies
por: Stefanov, Stefan, et al.
Publicado: (2008)