Cargando…
Significance testing and genomic inflation factor using high‐density genotypes or whole‐genome sequence data
Significance testing for genome‐wide association study (GWAS) with increasing SNP density up to whole‐genome sequence data (WGS) is not straightforward, because of strong LD between SNP and population stratification. Therefore, the objective of this study was to investigate genomic control and diffe...
Autores principales: | van den Berg, Sanne, Vandenplas, Jérémie, van Eeuwijk, Fred A., Lopes, Marcos S., Veerkamp, Roel F. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6900143/ https://www.ncbi.nlm.nih.gov/pubmed/31215703 http://dx.doi.org/10.1111/jbg.12419 |
Ejemplares similares
-
Imputation to whole-genome sequence using multiple pig populations and its use in genome-wide association studies
por: van den Berg, Sanne, et al.
Publicado: (2019) -
Genomic prediction using imputed whole-genome sequence data in Holstein Friesian cattle
por: van Binsbergen, Rianne, et al.
Publicado: (2015) -
Accuracy of imputation to whole-genome sequence data in Holstein Friesian cattle
por: van Binsbergen, Rianne, et al.
Publicado: (2014) -
Avoiding preselection bias in subsequent single‐step genomic BLUP evaluations of genomically preselected animals
por: Jibrila, Ibrahim, et al.
Publicado: (2020) -
Efficient large-scale single-step evaluations and indirect genomic prediction of genotyped selection candidates
por: Vandenplas, Jeremie, et al.
Publicado: (2023)