Cargando…
Comparison between single-marker analysis using Merlin and multi-marker analysis using LASSO for Framingham simulated data
We compared family-based single-marker association analysis using Merlin and multi-marker analysis using LASSO (least absolute shrinkage and selection operator) for the low-density lipoprotein phenotype at the first visit for all 200 replicates of the Genetic Analysis Workshop 16 Framingham simulate...
Autores principales: | Sung, Yun Ju, Rice, Treva K, Shi, Gang, Gu, C Charles, Rao, DC |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2795924/ https://www.ncbi.nlm.nih.gov/pubmed/20018017 |
Ejemplares similares
-
Genome-wide association analysis of Framingham Heart Study data for the Genetics Analysis Workshop 16: effects due to medication use
por: Rice, Treva K, et al.
Publicado: (2009) -
Application of collapsing methods for continuous traits to the Genetic Analysis Workshop 17 exome sequence data
por: Sung, Yun Ju, et al.
Publicado: (2011) -
Application of three-level linear mixed-effects model incorporating gene-age interactions for association analysis of longitudinal family data
por: Shi, Gang, et al.
Publicado: (2009) -
Combining least absolute shrinkage and selection operator (LASSO) and principal-components analysis for detection of gene-gene interactions in genome-wide association studies
por: D'Angelo, Gina M, et al.
Publicado: (2009) -
Evaluation of genetic risk scores for lipid levels using genome-wide markers in the Framingham Heart Study
por: Piccolo, Stephen R, et al.
Publicado: (2009)