Genomic prediction of blood biomarkers of metabolic disorders in Holstein cattle using parametric and nonparametric models
CONCLUSIONS: Our results indicate that the Stack approach was more accurate in predicting metabolic disturbances than GBLUP, BayesB, ENET, and GBM and seemed to be competitive for predicting complex phenotypes with various degrees of mode of inheritance, i.e. additive and non-additive effects. Selecting markers based on GBM improved accuracy of GBLUP.PMID:38684971 | PMC:PMC11057143 | DOI:10.1186/s12711-024-00903-9 (Source: Genet Sel Evol)
Source: Genet Sel Evol - April 29, 2024 Category: Genetics & Stem Cells Authors: Lucio F M Mota Diana Giannuzzi Sara Pegolo Enrico Sturaro Daniel Gianola Riccardo Negrini Erminio Trevisi Paolo Ajmone Marsan Alessio Cecchinato Source Type: research
Genomic prediction of blood biomarkers of metabolic disorders in Holstein cattle using parametric and nonparametric models
CONCLUSIONS: Our results indicate that the Stack approach was more accurate in predicting metabolic disturbances than GBLUP, BayesB, ENET, and GBM and seemed to be competitive for predicting complex phenotypes with various degrees of mode of inheritance, i.e. additive and non-additive effects. Selecting markers based on GBM improved accuracy of GBLUP.PMID:38684971 | DOI:10.1186/s12711-024-00903-9 (Source: Genet Sel Evol)
Source: Genet Sel Evol - April 29, 2024 Category: Genetics & Stem Cells Authors: Lucio F M Mota Diana Giannuzzi Sara Pegolo Enrico Sturaro Daniel Gianola Riccardo Negrini Erminio Trevisi Paolo Ajmone Marsan Alessio Cecchinato Source Type: research
Uncertainty in the mating strategy of honeybees causes bias and unreliability in the estimates of genetic parameters
CONCLUSIONS: Knowing only the dam of the DPQ(s) used in each mating may lead to erroneous assumptions on how DPQs were used and severely bias the estimates of genetic parameters and trends. Thus, we recommend keeping track of DPQs in the pedigree, and not only of the dams of DPQ(s). Records from DPQ colonies with queens open-mated to a heterogeneous drone population can be integrated by adding non-genetic effects to the statistical evaluation model.PMID:38632535 | PMC:PMC11022492 | DOI:10.1186/s12711-024-00898-3 (Source: Genet Sel Evol)
Source: Genet Sel Evol - April 17, 2024 Category: Genetics & Stem Cells Authors: Tristan Kistler Evert W Brascamp Benjamin Basso Piter Bijma Florence Phocas Source Type: research
Uncertainty in the mating strategy of honeybees causes bias and unreliability in the estimates of genetic parameters
CONCLUSIONS: Knowing only the dam of the DPQ(s) used in each mating may lead to erroneous assumptions on how DPQs were used and severely bias the estimates of genetic parameters and trends. Thus, we recommend keeping track of DPQs in the pedigree, and not only of the dams of DPQ(s). Records from DPQ colonies with queens open-mated to a heterogeneous drone population can be integrated by adding non-genetic effects to the statistical evaluation model.PMID:38632535 | PMC:PMC11022492 | DOI:10.1186/s12711-024-00898-3 (Source: Genet Sel Evol)
Source: Genet Sel Evol - April 17, 2024 Category: Genetics & Stem Cells Authors: Tristan Kistler Evert W Brascamp Benjamin Basso Piter Bijma Florence Phocas Source Type: research
Uncertainty in the mating strategy of honeybees causes bias and unreliability in the estimates of genetic parameters
CONCLUSIONS: Knowing only the dam of the DPQ(s) used in each mating may lead to erroneous assumptions on how DPQs were used and severely bias the estimates of genetic parameters and trends. Thus, we recommend keeping track of DPQs in the pedigree, and not only of the dams of DPQ(s). Records from DPQ colonies with queens open-mated to a heterogeneous drone population can be integrated by adding non-genetic effects to the statistical evaluation model.PMID:38632535 | PMC:PMC11022492 | DOI:10.1186/s12711-024-00898-3 (Source: Genet Sel Evol)
Source: Genet Sel Evol - April 17, 2024 Category: Genetics & Stem Cells Authors: Tristan Kistler Evert W Brascamp Benjamin Basso Piter Bijma Florence Phocas Source Type: research
Uncertainty in the mating strategy of honeybees causes bias and unreliability in the estimates of genetic parameters
CONCLUSIONS: Knowing only the dam of the DPQ(s) used in each mating may lead to erroneous assumptions on how DPQs were used and severely bias the estimates of genetic parameters and trends. Thus, we recommend keeping track of DPQs in the pedigree, and not only of the dams of DPQ(s). Records from DPQ colonies with queens open-mated to a heterogeneous drone population can be integrated by adding non-genetic effects to the statistical evaluation model.PMID:38632535 | PMC:PMC11022492 | DOI:10.1186/s12711-024-00898-3 (Source: Genet Sel Evol)
Source: Genet Sel Evol - April 17, 2024 Category: Genetics & Stem Cells Authors: Tristan Kistler Evert W Brascamp Benjamin Basso Piter Bijma Florence Phocas Source Type: research
Uncertainty in the mating strategy of honeybees causes bias and unreliability in the estimates of genetic parameters
CONCLUSIONS: Knowing only the dam of the DPQ(s) used in each mating may lead to erroneous assumptions on how DPQs were used and severely bias the estimates of genetic parameters and trends. Thus, we recommend keeping track of DPQs in the pedigree, and not only of the dams of DPQ(s). Records from DPQ colonies with queens open-mated to a heterogeneous drone population can be integrated by adding non-genetic effects to the statistical evaluation model.PMID:38632535 | PMC:PMC11022492 | DOI:10.1186/s12711-024-00898-3 (Source: Genet Sel Evol)
Source: Genet Sel Evol - April 17, 2024 Category: Genetics & Stem Cells Authors: Tristan Kistler Evert W Brascamp Benjamin Basso Piter Bijma Florence Phocas Source Type: research
Uncertainty in the mating strategy of honeybees causes bias and unreliability in the estimates of genetic parameters
CONCLUSIONS: Knowing only the dam of the DPQ(s) used in each mating may lead to erroneous assumptions on how DPQs were used and severely bias the estimates of genetic parameters and trends. Thus, we recommend keeping track of DPQs in the pedigree, and not only of the dams of DPQ(s). Records from DPQ colonies with queens open-mated to a heterogeneous drone population can be integrated by adding non-genetic effects to the statistical evaluation model.PMID:38632535 | DOI:10.1186/s12711-024-00898-3 (Source: Genet Sel Evol)
Source: Genet Sel Evol - April 17, 2024 Category: Genetics & Stem Cells Authors: Tristan Kistler Evert W Brascamp Benjamin Basso Piter Bijma Florence Phocas Source Type: research
Estimating genetic parameters of digital behavior traits and their relationship with production traits in purebred pigs
CONCLUSIONS: Digital phenotyping is a new and low-cost method to record behavior phenotypes, but thorough data cleaning procedures are needed. Evaluating behavioral traits at different time intervals offers a deeper insight into their changes throughout the growth periods and their relationship with production traits, which may be recorded at a less frequent basis.PMID:38627636 | PMC:PMC11022375 | DOI:10.1186/s12711-024-00902-w (Source: Genet Sel Evol)
Source: Genet Sel Evol - April 16, 2024 Category: Genetics & Stem Cells Authors: Mary Kate Hollifield Ching-Yi Chen Eric Psota Justin Holl Daniela Lourenco Ignacy Misztal Source Type: research
Estimating genetic parameters of digital behavior traits and their relationship with production traits in purebred pigs
CONCLUSIONS: Digital phenotyping is a new and low-cost method to record behavior phenotypes, but thorough data cleaning procedures are needed. Evaluating behavioral traits at different time intervals offers a deeper insight into their changes throughout the growth periods and their relationship with production traits, which may be recorded at a less frequent basis.PMID:38627636 | DOI:10.1186/s12711-024-00902-w (Source: Genet Sel Evol)
Source: Genet Sel Evol - April 16, 2024 Category: Genetics & Stem Cells Authors: Mary Kate Hollifield Ching-Yi Chen Eric Psota Justin Holl Daniela Lourenco Ignacy Misztal Source Type: research
Constructing eRNA-mediated gene regulatory networks to explore the genetic basis of muscle and fat-relevant traits in pigs
CONCLUSIONS: Our work not only provides novel insights into the genetic basis of economic pig traits, but also offers a generalizable approach to elucidate the eRNA-mediated transcriptional regulation underlying a wide spectrum of complex traits for diverse organisms.PMID:38594607 | PMC:PMC11003151 | DOI:10.1186/s12711-024-00897-4 (Source: Genet Sel Evol)
Source: Genet Sel Evol - April 9, 2024 Category: Genetics & Stem Cells Authors: Chao Wang Choulin Chen Bowen Lei Shenghua Qin Yuanyuan Zhang Kui Li Song Zhang Yuwen Liu Source Type: research
Constructing eRNA-mediated gene regulatory networks to explore the genetic basis of muscle and fat-relevant traits in pigs
CONCLUSIONS: Our work not only provides novel insights into the genetic basis of economic pig traits, but also offers a generalizable approach to elucidate the eRNA-mediated transcriptional regulation underlying a wide spectrum of complex traits for diverse organisms.PMID:38594607 | PMC:PMC11003151 | DOI:10.1186/s12711-024-00897-4 (Source: Genet Sel Evol)
Source: Genet Sel Evol - April 9, 2024 Category: Genetics & Stem Cells Authors: Chao Wang Choulin Chen Bowen Lei Shenghua Qin Yuanyuan Zhang Kui Li Song Zhang Yuwen Liu Source Type: research
Constructing eRNA-mediated gene regulatory networks to explore the genetic basis of muscle and fat-relevant traits in pigs
CONCLUSIONS: Our work not only provides novel insights into the genetic basis of economic pig traits, but also offers a generalizable approach to elucidate the eRNA-mediated transcriptional regulation underlying a wide spectrum of complex traits for diverse organisms.PMID:38594607 | PMC:PMC11003151 | DOI:10.1186/s12711-024-00897-4 (Source: Genet Sel Evol)
Source: Genet Sel Evol - April 9, 2024 Category: Genetics & Stem Cells Authors: Chao Wang Choulin Chen Bowen Lei Shenghua Qin Yuanyuan Zhang Kui Li Song Zhang Yuwen Liu Source Type: research
Constructing eRNA-mediated gene regulatory networks to explore the genetic basis of muscle and fat-relevant traits in pigs
CONCLUSIONS: Our work not only provides novel insights into the genetic basis of economic pig traits, but also offers a generalizable approach to elucidate the eRNA-mediated transcriptional regulation underlying a wide spectrum of complex traits for diverse organisms.PMID:38594607 | PMC:PMC11003151 | DOI:10.1186/s12711-024-00897-4 (Source: Genet Sel Evol)
Source: Genet Sel Evol - April 9, 2024 Category: Genetics & Stem Cells Authors: Chao Wang Choulin Chen Bowen Lei Shenghua Qin Yuanyuan Zhang Kui Li Song Zhang Yuwen Liu Source Type: research
Constructing eRNA-mediated gene regulatory networks to explore the genetic basis of muscle and fat-relevant traits in pigs
CONCLUSIONS: Our work not only provides novel insights into the genetic basis of economic pig traits, but also offers a generalizable approach to elucidate the eRNA-mediated transcriptional regulation underlying a wide spectrum of complex traits for diverse organisms.PMID:38594607 | DOI:10.1186/s12711-024-00897-4 (Source: Genet Sel Evol)
Source: Genet Sel Evol - April 9, 2024 Category: Genetics & Stem Cells Authors: Chao Wang Choulin Chen Bowen Lei Shenghua Qin Yuanyuan Zhang Kui Li Song Zhang Yuwen Liu Source Type: research
