Harnessing genomic information for livestock improvement
M Georges, C Charlier, B Hayes - Nature Reviews Genetics, 2019 - nature.com
The world demand for animal-based food products is anticipated to increase by 70% by
2050. Meeting this demand in a way that has a minimal impact on the environment will …
2050. Meeting this demand in a way that has a minimal impact on the environment will …
1000 bull genomes project to map simple and complex genetic traits in cattle: applications and outcomes
BJ Hayes, HD Daetwyler - Annual review of animal biosciences, 2019 - annualreviews.org
The 1000 Bull Genomes Project is a collection of whole-genome sequences from 2,703
individuals capturing a significant proportion of the world's cattle diversity. So far, 84 million …
individuals capturing a significant proportion of the world's cattle diversity. So far, 84 million …
Selecting sequence variants to improve genomic predictions for dairy cattle
PM VanRaden, ME Tooker, JR O'connell… - Genetics Selection …, 2017 - Springer
Background Millions of genetic variants have been identified by population-scale
sequencing projects, but subsets of these variants are needed for routine genomic …
sequencing projects, but subsets of these variants are needed for routine genomic …
Using imputation-based whole-genome sequencing data to improve the accuracy of genomic prediction for combined populations in pigs
H Song, S Ye, Y Jiang, Z Zhang, Q Zhang… - Genetics Selection …, 2019 - Springer
Background For genomic selection in populations with a small reference population,
combining populations of the same breed or populations of related breeds is an effective …
combining populations of the same breed or populations of related breeds is an effective …
Genomic prediction with whole-genome sequence data in intensely selected pig lines
Background Early simulations indicated that whole-genome sequence data (WGS) could
improve the accuracy of genomic predictions within and across breeds. However, empirical …
improve the accuracy of genomic predictions within and across breeds. However, empirical …
Genomic prediction using preselected DNA variants from a GWAS with whole-genome sequence data in Holstein–Friesian cattle
RF Veerkamp, AC Bouwman, C Schrooten… - Genetics Selection …, 2016 - Springer
Background Whole-genome sequence data is expected to capture genetic variation more
completely than common genotyping panels. Our objective was to compare the proportion of …
completely than common genotyping panels. Our objective was to compare the proportion of …
Increased accuracy of genomic predictions for growth under chronic thermal stress in rainbow trout by prioritizing variants from GWAS using imputed sequence data
GM Yoshida, JM Yáñez - Evolutionary applications, 2022 - Wiley Online Library
Through imputation of genotypes, genome‐wide association study (GWAS) and genomic
prediction (GP) using whole‐genome sequencing (WGS) data are cost‐efficient and feasible …
prediction (GP) using whole‐genome sequencing (WGS) data are cost‐efficient and feasible …
Utility of whole-genome sequence data for across-breed genomic prediction
B Raymond, AC Bouwman, C Schrooten… - Genetics Selection …, 2018 - Springer
Background Genomic prediction (GP) across breeds has so far resulted in low accuracies of
the predicted genomic breeding values. Our objective was to evaluate whether using whole …
the predicted genomic breeding values. Our objective was to evaluate whether using whole …
Genomic prediction based on selected variants from imputed whole-genome sequence data in Australian sheep populations
Background Whole-genome sequence (WGS) data could contain information on genetic
variants at or in high linkage disequilibrium with causative mutations that underlie the …
variants at or in high linkage disequilibrium with causative mutations that underlie the …
Genomic evaluation of feed efficiency component traits in Duroc pigs using 80K, 650K and whole-genome sequence variants
Background Increasing marker density was proposed to have potential to improve the
accuracy of genomic prediction for quantitative traits; whole-sequence data is expected to …
accuracy of genomic prediction for quantitative traits; whole-sequence data is expected to …