Strategies for Obtaining and Pruning Imputed Whole-Genome Sequence Data for Genomic Prediction

Strategies for Obtaining and Pruning Imputed Whole-Genome Sequence Data for Genomic Prediction

Genomic prediction with imputed whole-genome sequencing (WGS) data is an attractive approach to improve predictive ability with low cost. However, high accuracy has not been realized using this method in livestock. In this study, we imputed 435 individuals from 600K single nucleotide polymorphism (S...

Full description

Bibliographic Details
Main Authors: Shaopan Ye, Ning Gao, Rongrong Zheng, Zitao Chen, Jinyan Teng, Xiaolong Yuan, Hao Zhang, Zanmou Chen, Xiquan Zhang, Jiaqi Li, Zhe Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-07-01
Series:Frontiers in Genetics
Subjects:
genomic prediction
imputed WGS data
LD-based marker pruning
GWAS
chickens
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2019.00673/full

Internet

https://www.frontiersin.org/article/10.3389/fgene.2019.00673/full

Similar Items