Multi-omic data integration and analysis using systems genomics approaches: methods and applications in animal production, health and welfare
P Suravajhala, LJA Kogelman… - Genetics Selection …, 2016 - Springer
In the past years, there has been a remarkable development of high-throughput omics (HTO)
technologies such as genomics, epigenomics, transcriptomics, proteomics and …
technologies such as genomics, epigenomics, transcriptomics, proteomics and …
Genomic selection in pigs: state of the art and perspectives
AB Samorè, L Fontanesi - Italian Journal of Animal Science, 2016 - Taylor & Francis
Genomic selection, that is based on the prediction of the breeding value (the genomic
breeding value or GEBV) of the animals considering genomic information, is changing …
breeding value or GEBV) of the animals considering genomic information, is changing …
[HTML][HTML] Genome-wide association studies to identify quantitative trait loci affecting milk production traits in water buffalo
JJ Liu, AX Liang, G Campanile, G Plastow… - Journal of dairy …, 2018 - Elsevier
Water buffalo is the second largest resource of milk supply around the world, and it is well
known for its distinctive milk quality in terms of fat, protein, lactose, vitamin, and mineral …
known for its distinctive milk quality in terms of fat, protein, lactose, vitamin, and mineral …
Whole-genome sequence-based genomic prediction in laying chickens with different genomic relationship matrices to account for genetic architecture
G Ni, D Cavero, A Fangmann, M Erbe… - Genetics Selection …, 2017 - Springer
Background With the availability of next-generation sequencing technologies, genomic
prediction based on whole-genome sequencing (WGS) data is now feasible in animal …
prediction based on whole-genome sequencing (WGS) data is now feasible in animal …
Functional partitioning of genomic variance and genome-wide association study for carcass traits in Korean Hanwoo cattle using imputed sequence level SNP data
Quantitative traits are usually controlled by numerous genomic variants with small individual
effects, and variances associated with those traits are explained in a continuous manner …
effects, and variances associated with those traits are explained in a continuous manner …
Incorporating gene annotation into genomic prediction of complex phenotypes
N Gao, JWR Martini, Z Zhang, X Yuan, H Zhang… - Genetics, 2017 - academic.oup.com
Gao et al. propose several approaches to incorporate gene annotation into genomic
prediction and evaluate these new methods on populations..... Today, genomic prediction …
prediction and evaluate these new methods on populations..... Today, genomic prediction …
Improvement of prediction ability by integrating multi-omic datasets in barley
Background Genomic prediction (GP) based on single nucleotide polymorphisms (SNP) has
become a broadly used tool to increase the gain of selection in plant breeding. However …
become a broadly used tool to increase the gain of selection in plant breeding. However …
[HTML][HTML] Genomic prediction of bull fertility in US Jersey dairy cattle
Service sire has a major effect on reproductive success in dairy cattle. Recent studies have
reported accurate predictions for Holstein bull fertility using genomic data. The objective of …
reported accurate predictions for Holstein bull fertility using genomic data. The objective of …
Integrating genome-wide co-association and gene expression to identify putative regulators and predictors of feed efficiency in pigs
Y Ramayo-Caldas, E Mármol-Sánchez… - Genetics Selection …, 2019 - Springer
Background Feed efficiency (FE) has a major impact on the economic sustainability of pig
production. We used a systems-based approach that integrates single nucleotide …
production. We used a systems-based approach that integrates single nucleotide …
Incorporating genome annotation into genomic prediction for carcass traits in Chinese Simmental beef cattle
L Xu, N Gao, Z Wang, L Xu, Y Liu, Y Chen, L Xu… - Frontiers in …, 2020 - frontiersin.org
Various methods have been proposed for genomic prediction (GP) in livestock. These
methods have mainly focused on statistical considerations and did not include genome …
methods have mainly focused on statistical considerations and did not include genome …