Cargando…
Evaluating the concordance between sequencing, imputation and microarray genotype calls in the GAW18 data
Genotype errors are well known to increase type I errors and/or decrease power in related tests of genotype-phenotype association, depending on whether the genotype error mechanism is associated with the phenotype. These relationships hold for both single and multimarker tests of genotype-phenotype...
Autores principales: | Rogers, Ally, Beck, Andrew, Tintle, Nathan L |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4143748/ https://www.ncbi.nlm.nih.gov/pubmed/25519374 http://dx.doi.org/10.1186/1753-6561-8-S1-S22 |
Ejemplares similares
-
Evaluation of a phenotype imputation approach using GAW20 simulated data
por: Chen, Yuning, et al.
Publicado: (2018) -
Visualizing genotype × phenotype relationships in the GAW15 simulated data
por: Qin, Xuejun, et al.
Publicado: (2007) -
Admixture mapping analysis in the context of GWAS with GAW18 data
por: Chen, Mengjie, et al.
Publicado: (2014) -
Comparing the power of family-based association tests for sequence data with applications in the GAW18 simulated data
por: Huang, Jing, et al.
Publicado: (2014) -
Cladistic analysis of genotype data-application to GAW15 Problem 3
por: Jung, Hsuan, et al.
Publicado: (2007)