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Full-Text Articles in Genetics and Genomics
Using Encrypted Genotypes And Phenotypes For Collaborative Genomic Analyses To Maintain Data Confidentiality, Tianjing Zhao, Fangyi Wang, Richard Mott, Jack Dekkers, Hao Cheng
Using Encrypted Genotypes And Phenotypes For Collaborative Genomic Analyses To Maintain Data Confidentiality, Tianjing Zhao, Fangyi Wang, Richard Mott, Jack Dekkers, Hao Cheng
Department of Animal Science: Faculty Publications
To adhere to and capitalize on the benefits of the FAIR (findable, accessible, interoperable, and reusable) principles in agricultural genome- to-phenome studies, it is crucial to address privacy and intellectual property issues that prevent sharing and reuse of data in research and industry. Direct sharing of genotype and phenotype data is often prohibited due to intellectual property and privacy concerns. Thus, there is a pressing need for encryption methods that obscure confidential aspects of the data, without affecting the outcomes of certain statistical analyses. A homomorphic encryption method for genotypes and phenotypes (HEGP) has been proposed for single-marker regression in …
Estimation Of Breeding Values Using Different Densities Of Snp To Inform Kinship In Broiler Chickens, Mayara Salvian, Gabriel Costa Monteiro Moreira, Ândrea Plotzki Reis, Brayan Dias Dauria, Fabrício Pilonetto, Izally Carvalho Gervásio, Mônica Corrêa Ledur, Luiz Lehmann Coutinho, Matthew L. Spangler, Gerson Barreto Mourao
Estimation Of Breeding Values Using Different Densities Of Snp To Inform Kinship In Broiler Chickens, Mayara Salvian, Gabriel Costa Monteiro Moreira, Ândrea Plotzki Reis, Brayan Dias Dauria, Fabrício Pilonetto, Izally Carvalho Gervásio, Mônica Corrêa Ledur, Luiz Lehmann Coutinho, Matthew L. Spangler, Gerson Barreto Mourao
Department of Animal Science: Faculty Publications
Background: Traditionally, breeding values are estimated based on phenotypic and pedigree information using the numerator relationship (A) matrix. With the availability of genomic information, genome-wide markers can be included in the estimation of breeding values through genomic kinship. However, the density of genomic information used can impact the cost of implementation. The aim of this study was to compare the rank, accuracy, and bias of estimated breeding values (EBV) for organs [heart (HRT), liver (LIV), gizzard (GIZ), lungs (LUN)] and carcass [breast (BRST), drumstick (DRM) and thigh (THG)] weight traits in a broiler population using pedigree-based BLUP (PBLUP) and …
Using Pooled Data For Genomic Prediction In A Bivariate Framework With Missing Data, Johnna L. Baller, Stephen D. Kachman, Larry A. Kuehn, Matthew L. Spangler
Using Pooled Data For Genomic Prediction In A Bivariate Framework With Missing Data, Johnna L. Baller, Stephen D. Kachman, Larry A. Kuehn, Matthew L. Spangler
Department of Animal Science: Faculty Publications
Pooling samples to derive group genotypes can enable the economically efficient use of commercial animals within genetic evaluations. To test a multivariate framework for genetic evaluations using pooled data, simulation was used to mimic a beef cattle population including two moderately heritable traits with varying genetic correlations, genotypes and pedigree data. There were 15 generations (n = 32,000; random selection and mating), and the last generation was subjected to genotyping through pooling. Missing records were induced in two ways: (a) sequential culling and (b) random missing records. Gaps in genotyping were also explored whereby genotyping occurred through generation 13 …
Comparing Strategies For Selection Of Low-Density Snps For Imputation-Mediated Genomic Prediction In U.S. Holsteins, Jun He, Jiaqi Xu, Xiao-Lin Wu, Stewart Bauck, Jungjae Lee, Gota Morota, Stephen D. Kachman, Matthew L. Spangler
Comparing Strategies For Selection Of Low-Density Snps For Imputation-Mediated Genomic Prediction In U.S. Holsteins, Jun He, Jiaqi Xu, Xiao-Lin Wu, Stewart Bauck, Jungjae Lee, Gota Morota, Stephen D. Kachman, Matthew L. Spangler
Department of Animal Science: Faculty Publications
SNP chips are commonly used for genotyping animals in genomic selection but strategies for selecting low-density (LD) SNPs for imputation-mediated genomic selection have not been addressed adequately. The main purpose of the present study was to compare the performance of eight LD (6K) SNP panels, each selected by a different strategy exploiting a combination of three major factors: evenly-spaced SNPs, increased minor allele frequencies, and SNP-trait associations either for single traits independently or for all the three traits jointly. The imputation accuracies from 6K to 80K SNP genotypes were between 96.2 and 98.2%. Genomic prediction accuracies obtained using imputed 80K …
Do Stronger Measures Of Genomic Connectedness Enhance Prediction Accuracies Across Management Units?, Haipeng Yu, Matthew L. Spangler, Ronald M. Lewis, Gota Morota
Do Stronger Measures Of Genomic Connectedness Enhance Prediction Accuracies Across Management Units?, Haipeng Yu, Matthew L. Spangler, Ronald M. Lewis, Gota Morota
Department of Animal Science: Faculty Publications
Genetic connectedness assesses the extent to which estimated breeding values can be fairly compared across management units. Ranking of individuals across units based on best linear unbiased prediction (BLUP) is reliable when there is a sufficient level of connectedness due to a better disentangling of genetic signal from noise. Connectedness arises from genetic relationships among individuals. Although a recent study showed that genomic relatedness strengthens the estimates of connectedness across management units compared with that of pedigree, the relationship between connectedness measures and prediction accuracies only has been explored to a limited extent. In this study, we examined whether increased …
The Impact Of Training Strategies On The Accuracy Of Genomic Predictors In United States Red Angus Cattle, J. Lee, Stephen D. Kachman, Matthew L. Spangler
The Impact Of Training Strategies On The Accuracy Of Genomic Predictors In United States Red Angus Cattle, J. Lee, Stephen D. Kachman, Matthew L. Spangler
Department of Animal Science: Faculty Publications
Genomic selection (GS) has become an integral part of genetic evaluation methodology and has been applied to all major livestock species, including beef and dairy cattle, pigs, and chickens. Significant contributions in increased accuracy of selection decisions have been clearly illustrated in dairy cattle after practical application of GS. In the majority of U.S. beef cattle breeds, similar efforts have also been made to increase the accuracy of genetic merit estimates through the inclusion of genomic information into routine genetic evaluations using a variety of methods. However, prediction accuracies can vary relative to panel density, the number of folds used …
Genetic And Genomic Basis Of Antibody Response To Porcine Reproductive And Respiratory Syndrome (Prrs) In Gilts And Sows, Nick V. Serão, Robert A. Kemp, Benny Mote, Philip Willson, John C.S. Harding, Stephen C. Bishop, Graham S. Plastow, Jack C.M. Dekkers
Genetic And Genomic Basis Of Antibody Response To Porcine Reproductive And Respiratory Syndrome (Prrs) In Gilts And Sows, Nick V. Serão, Robert A. Kemp, Benny Mote, Philip Willson, John C.S. Harding, Stephen C. Bishop, Graham S. Plastow, Jack C.M. Dekkers
Department of Animal Science: Faculty Publications
Background: Our recent research showed that antibody response to porcine reproductive and respiratory syndrome (PRRS), measured as sample-to-positive (S/P) ratio, is highly heritable and has a high genetic correlation with reproductive performance during a PRRS outbreak. Two major quantitative trait loci (QTL) on Sus scrofa chromosome 7 (SSC7; QTLMHC and QTL130) accounted for ~40 % of the genetic variance for S/P. Objectives of this study were to estimate genetic parameters for PRRS S/P in gilts during acclimation, identify regions associated with S/P, and evaluate the accuracy of genomic prediction of S/P across populations with different prevalences of …
Evaluation Of Reduced Subsets Of Single Nucleotide Polymorphisms For The Prediction Of Age At Puberty In Sows, Katherine L. Lucot, Matthew L. Spangler, Melanie D. Trenhaile, Stephen D. Kachman, Daniel C. Ciobanu
Evaluation Of Reduced Subsets Of Single Nucleotide Polymorphisms For The Prediction Of Age At Puberty In Sows, Katherine L. Lucot, Matthew L. Spangler, Melanie D. Trenhaile, Stephen D. Kachman, Daniel C. Ciobanu
Department of Animal Science: Faculty Publications
Genomic information could be used efficiently to improve traits that are expensive to measure, sex limited or expressed late in life. This study analyzed the phenotypic variation explained by major SNPs and windows for age at puberty in gilts, an indicator of reproductive longevity. A genome-wide association study using 56,424 SNPs explained 25.2% of the phenotypic variation in age at puberty in a training set (n = 820). All SNPs from the top 10% of 1-Mb windows explained 33.5% of the phenotypic variance compared to 47.1% explained by the most informative markers (n = 261). In an evaluation population, consisting …