Cargando…
The benefits of selecting phenotype-specific variants for applications of mixed models in genomics
Applications of linear mixed models (LMMs) to problems in genomics include phenotype prediction, correction for confounding in genome-wide association studies, estimation of narrow sense heritability, and testing sets of variants (e.g., rare variants) for association. In each of these applications,...
Autores principales: | Lippert, Christoph, Quon, Gerald, Kang, Eun Yong, Kadie, Carl M., Listgarten, Jennifer, Heckerman, David |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3648840/ https://www.ncbi.nlm.nih.gov/pubmed/23657357 http://dx.doi.org/10.1038/srep01815 |
Ejemplares similares
-
A powerful and efficient set test for genetic markers that handles confounders
por: Listgarten, Jennifer, et al.
Publicado: (2013) -
Patterns of methylation heritability in a genome-wide analysis of four brain regions
por: Quon, Gerald, et al.
Publicado: (2013) -
Greater power and computational efficiency for kernel-based association testing of sets of genetic variants
por: Lippert, Christoph, et al.
Publicado: (2014) -
Further Improvements to Linear Mixed Models for Genome-Wide Association
Studies
por: Widmer, Christian, et al.
Publicado: (2014) -
CORRIGENDUM: An Exhaustive Epistatic SNP Association Analysis on Expanded Wellcome Trust Data
por: Lippert, Christoph, et al.
Publicado: (2013)