Genomic Prediction Based on SNP Functional Annotation Using Imputed Whole-Genome Sequence Data in Korean Hanwoo Cattle

Genomic Prediction Based on SNP Functional Annotation Using Imputed Whole-Genome Sequence Data in Korean Hanwoo Cattle

Whole-genome sequence (WGS) data are increasingly being applied into genomic predictions, offering a higher predictive ability by including causal mutations or single-nucleotide polymorphisms (SNPs) putatively in strong linkage disequilibrium with causal mutations affecting the trait. This study aim...

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Bibliographic Details
Main Authors: Bryan Irvine M. Lopez, Narae An, Krishnamoorthy Srikanth, Seunghwan Lee, Jae-Don Oh, Dong-Hyun Shin, Woncheoul Park, Han-Ha Chai, Jong-Eun Park, Dajeong Lim
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-01-01
Series:Frontiers in Genetics
Subjects:
genomic selection
pre-selected sequence variants
genome annotation
carcass traits
Hanwoo cattle
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2020.603822/full

Internet

https://www.frontiersin.org/articles/10.3389/fgene.2020.603822/full

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