Cargando…
Resampling methods to reduce the selection bias in genetic effect estimation in genome-wide scans
Using the simulated data of Problem 2 for Genetic Analysis Workshop 14 (GAW14), we investigated the ability of three bootstrap-based resampling estimators (a shrinkage, an out-of-sample, and a weighted estimator) to reduce the selection bias for genetic effect estimation in genome-wide linkage scans...
Autores principales: | Wu, Long Yang, Lee, Sophia SF, Shi, Haijiang Steven, Sun, Lei, Bull, Shelley B |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2005
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866762/ https://www.ncbi.nlm.nih.gov/pubmed/16451633 http://dx.doi.org/10.1186/1471-2156-6-S1-S24 |
Ejemplares similares
-
Comparison of family-based association tests in chromosome regions selected by linkage-based confidence intervals
por: Lewinger, Juan Pablo, et al.
Publicado: (2005) -
Treating phenotype as given: a simple resampling method for genome-wide association studies
por: Wang, Kai, et al.
Publicado: (2011) -
Two-stage study designs combining genome-wide association studies, tag single-nucleotide polymorphisms, and exome sequencing: accuracy of genetic effect estimates
por: Faye, Laura L, et al.
Publicado: (2011) -
Resampling procedures to identify important SNPs using a consensus approach
por: Pardy, Christopher, et al.
Publicado: (2011) -
Genome-wide linkage scan on estimated breeding values for a quantitative trait
por: Zabaneh, Delilah, et al.
Publicado: (2003)