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Estimating additive and non-additive genetic variances and predicting genetic merits using genome-wide dense single nucleotide polymorphism markers
Estimating additive and non-additive genetic variances and predicting genetic merits using genome-wide dense single nucleotide polymorphism markers
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Estimating additive and non-additive genetic variances and predicting genetic merits using genome-wide dense single nucleotide polymorphism markers

PloS one, 2012-09, Vol.7 (9), p.e45293-e45293 [Peer Reviewed Journal]

COPYRIGHT 2012 Public Library of Science ;COPYRIGHT 2012 Public Library of Science ;Su et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2012 Su et al 2012 Su et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0045293 ;PMID: 23028912

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Genomic prediction when some animals are not genotyped
Genomic prediction when some animals are not genotyped
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Genomic prediction when some animals are not genotyped

Genetics selection evolution (Paris), 2010-01, Vol.42 (1), p.2-2, Article 2 [Peer Reviewed Journal]

COPYRIGHT 2010 BioMed Central Ltd. ;2010. This work is licensed under http://creativecommons.org/licenses/by/2.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. ;Copyright ©2010 Christensen and Lund; licensee BioMed Central Ltd. 2010 Christensen and Lund; licensee BioMed Central Ltd. ;ISSN: 1297-9686 ;ISSN: 0999-193X ;EISSN: 1297-9686 ;DOI: 10.1186/1297-9686-42-2 ;PMID: 20105297

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3
Genomic prediction using a reference population of multiple pure breeds and admixed individuals
Genomic prediction using a reference population of multiple pure breeds and admixed individuals
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Genomic prediction using a reference population of multiple pure breeds and admixed individuals

Genetics selection evolution (Paris), 2021-05, Vol.53 (1), p.46-46, Article 46 [Peer Reviewed Journal]

COPYRIGHT 2021 BioMed Central Ltd. ;2021. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. ;Attribution ;The Author(s) 2021 ;ISSN: 1297-9686 ;ISSN: 0999-193X ;EISSN: 1297-9686 ;DOI: 10.1186/s12711-021-00637-y ;PMID: 34058971

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4
Genomic prediction of genetic merit using LD-based haplotypes in the Nordic Holstein population
Genomic prediction of genetic merit using LD-based haplotypes in the Nordic Holstein population
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Genomic prediction of genetic merit using LD-based haplotypes in the Nordic Holstein population

BMC genomics, 2014-12, Vol.15 (1), p.1171-1171, Article 1171 [Peer Reviewed Journal]

COPYRIGHT 2014 BioMed Central Ltd. ;COPYRIGHT 2014 BioMed Central Ltd. ;2014 Cuyabano et al.; licensee BioMed Central. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. ;Distributed under a Creative Commons Attribution 4.0 International License ;Cuyabano et al.; licensee BioMed Central. 2014 ;ISSN: 1471-2164 ;EISSN: 1471-2164 ;DOI: 10.1186/1471-2164-15-1171 ;PMID: 25539631

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5
Comparison on genomic predictions using three GBLUP methods and two single-step blending methods in the Nordic Holstein population
Comparison on genomic predictions using three GBLUP methods and two single-step blending methods in the Nordic Holstein population
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Comparison on genomic predictions using three GBLUP methods and two single-step blending methods in the Nordic Holstein population

Genetics selection evolution (Paris), 2012-07, Vol.44 (1), p.8-8, Article 8 [Peer Reviewed Journal]

COPYRIGHT 2012 BioMed Central Ltd. ;2012 Gao et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. ;2012. This work is licensed under https://creativecommons.org/licenses/by/2.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. ;Copyright ©2012 Gao et al; licensee BioMed Central Ltd. 2012 Gao et al; licensee BioMed Central Ltd. ;ISSN: 1297-9686 ;ISSN: 0999-193X ;EISSN: 1297-9686 ;DOI: 10.1186/1297-9686-44-8 ;PMID: 22455934

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6
A common reference population from four European Holstein populations increases reliability of genomic predictions
A common reference population from four European Holstein populations increases reliability of genomic predictions
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A common reference population from four European Holstein populations increases reliability of genomic predictions

Genetics selection evolution (Paris), 2011-12, Vol.43 (1), p.43-43, Article 43 [Peer Reviewed Journal]

COPYRIGHT 2011 BioMed Central Ltd. ;2011. This work is licensed under http://creativecommons.org/licenses/by/2.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. ;2011 Lund et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. ;Attribution ;Copyright ©2011 Lund et al; licensee BioMed Central Ltd. 2011 Lund et al; licensee BioMed Central Ltd. ;ISSN: 1297-9686 ;ISSN: 0999-193X ;EISSN: 1297-9686 ;DOI: 10.1186/1297-9686-43-43 ;PMID: 22152008

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7
Using Sequence Variants in Linkage Disequilibrium with Causative Mutations to Improve Across-Breed Prediction in Dairy Cattle: A Simulation Study
Using Sequence Variants in Linkage Disequilibrium with Causative Mutations to Improve Across-Breed Prediction in Dairy Cattle: A Simulation Study
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Using Sequence Variants in Linkage Disequilibrium with Causative Mutations to Improve Across-Breed Prediction in Dairy Cattle: A Simulation Study

G3 : genes - genomes - genetics, 2016-08, Vol.6 (8), p.2553-2561 [Peer Reviewed Journal]

Copyright © 2016 Berg et al. ;Attribution ;Copyright © 2016 Berg 2016 ;ISSN: 2160-1836 ;EISSN: 2160-1836 ;DOI: 10.1534/g3.116.027730 ;PMID: 27317779

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8
Reliability of genomic prediction for milk fatty acid composition by using a multi-population reference and incorporating GWAS results
Reliability of genomic prediction for milk fatty acid composition by using a multi-population reference and incorporating GWAS results
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Reliability of genomic prediction for milk fatty acid composition by using a multi-population reference and incorporating GWAS results

Genetics selection evolution (Paris), 2019-04, Vol.51 (1), p.16-16, Article 16 [Peer Reviewed Journal]

COPYRIGHT 2019 BioMed Central Ltd. ;2019. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. ;Distributed under a Creative Commons Attribution 4.0 International License ;The Author(s) 2019 ;Wageningen University & Research ;ISSN: 1297-9686 ;ISSN: 0999-193X ;EISSN: 1297-9686 ;DOI: 10.1186/s12711-019-0460-z ;PMID: 31029078

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9
Genomic Prediction Using Multi-trait Weighted GBLUP Accounting for Heterogeneous Variances and Covariances Across the Genome
Genomic Prediction Using Multi-trait Weighted GBLUP Accounting for Heterogeneous Variances and Covariances Across the Genome
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Genomic Prediction Using Multi-trait Weighted GBLUP Accounting for Heterogeneous Variances and Covariances Across the Genome

G3 : genes - genomes - genetics, 2018-11, Vol.8 (11), p.3549-3558 [Peer Reviewed Journal]

Copyright © 2018 Karaman et al. ;Copyright © 2018 Karaman 2018 ;ISSN: 2160-1836 ;EISSN: 2160-1836 ;DOI: 10.1534/g3.118.200673 ;PMID: 30194089

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10
Improving Genomic Prediction Accuracy in the Chinese Holstein Population by Combining with the Nordic Holstein Reference Population
Improving Genomic Prediction Accuracy in the Chinese Holstein Population by Combining with the Nordic Holstein Reference Population
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Improving Genomic Prediction Accuracy in the Chinese Holstein Population by Combining with the Nordic Holstein Reference Population

Animals (Basel), 2023-02, Vol.13 (4), p.636 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2023 by the authors. 2023 ;ISSN: 2076-2615 ;EISSN: 2076-2615 ;DOI: 10.3390/ani13040636 ;PMID: 36830423

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11
A Meta-Analysis Including Pre-selected Sequence Variants Associated With Seven Traits in Three French Dairy Cattle Populations
A Meta-Analysis Including Pre-selected Sequence Variants Associated With Seven Traits in Three French Dairy Cattle Populations
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A Meta-Analysis Including Pre-selected Sequence Variants Associated With Seven Traits in Three French Dairy Cattle Populations

Frontiers in genetics, 2018, Vol.9, p.522-522 [Peer Reviewed Journal]

Attribution ;Copyright © 2018 Marete, Guldbrandtsen, Lund, Fritz, Sahana and Boichard. 2018 Marete, Guldbrandtsen, Lund, Fritz, Sahana and Boichard ;ISSN: 1664-8021 ;EISSN: 1664-8021 ;DOI: 10.3389/fgene.2018.00522 ;PMID: 30459810

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12
Modeling heterogeneous (co)variances from adjacent-SNP groups improves genomic prediction for milk protein composition traits
Modeling heterogeneous (co)variances from adjacent-SNP groups improves genomic prediction for milk protein composition traits
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Modeling heterogeneous (co)variances from adjacent-SNP groups improves genomic prediction for milk protein composition traits

Genetics selection evolution (Paris), 2017-12, Vol.49 (1), p.89-89, Article 89 [Peer Reviewed Journal]

COPYRIGHT 2017 BioMed Central Ltd. ;2017. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. ;Distributed under a Creative Commons Attribution 4.0 International License ;The Author(s) 2017 ;Wageningen University & Research ;ISSN: 1297-9686 ;ISSN: 0999-193X ;EISSN: 1297-9686 ;DOI: 10.1186/s12711-017-0364-8 ;PMID: 29207947

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13
Introgression of Chinese haplotypes contributed to the improvement of Danish Duroc pigs
Introgression of Chinese haplotypes contributed to the improvement of Danish Duroc pigs
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Introgression of Chinese haplotypes contributed to the improvement of Danish Duroc pigs

Evolutionary applications, 2019-02, Vol.12 (2), p.292-300 [Peer Reviewed Journal]

2018 The Authors. published by John Wiley & Sons Ltd ;2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1752-4571 ;EISSN: 1752-4571 ;DOI: 10.1111/eva.12716 ;PMID: 30697340

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14
Runs of homozygosity and distribution of functional variants in the cattle genome
Runs of homozygosity and distribution of functional variants in the cattle genome
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Runs of homozygosity and distribution of functional variants in the cattle genome

BMC genomics, 2015-07, Vol.16 (1), p.542-542, Article 542 [Peer Reviewed Journal]

COPYRIGHT 2015 BioMed Central Ltd. ;COPYRIGHT 2015 BioMed Central Ltd. ;Copyright BioMed Central 2015 ;Zhang et al. 2015 ;Wageningen University & Research ;ISSN: 1471-2164 ;EISSN: 1471-2164 ;DOI: 10.1186/s12864-015-1715-x ;PMID: 26198692

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15
Multi-trait single-step genomic prediction accounting for heterogeneous (co)variances over the genome
Multi-trait single-step genomic prediction accounting for heterogeneous (co)variances over the genome
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Multi-trait single-step genomic prediction accounting for heterogeneous (co)variances over the genome

Heredity, 2020-02, Vol.124 (2), p.274-287 [Peer Reviewed Journal]

This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2019 ;ISSN: 0018-067X ;EISSN: 1365-2540 ;DOI: 10.1038/s41437-019-0273-4 ;PMID: 31641237

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16
Whole-genome sequencing of 234 bulls facilitates mapping of monogenic and complex traits in cattle
Whole-genome sequencing of 234 bulls facilitates mapping of monogenic and complex traits in cattle
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Whole-genome sequencing of 234 bulls facilitates mapping of monogenic and complex traits in cattle

Nature genetics, 2014-08, Vol.46 (8), p.858-865 [Peer Reviewed Journal]

COPYRIGHT 2014 Nature Publishing Group ;COPYRIGHT 2014 Nature Publishing Group ;Copyright Nature Publishing Group Aug 2014 ;Distributed under a Creative Commons Attribution 4.0 International License ;Wageningen University & Research ;ISSN: 1061-4036 ;EISSN: 1546-1718 ;DOI: 10.1038/ng.3034 ;PMID: 25017103

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17
Meta-analysis of genome-wide association studies for cattle stature identifies common genes that regulate body size in mammals
Meta-analysis of genome-wide association studies for cattle stature identifies common genes that regulate body size in mammals
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Meta-analysis of genome-wide association studies for cattle stature identifies common genes that regulate body size in mammals

Nature genetics, 2018-03, Vol.50 (3), p.362-367 [Peer Reviewed Journal]

COPYRIGHT 2018 Nature Publishing Group ;COPYRIGHT 2018 Nature Publishing Group ;Copyright Nature Publishing Group Mar 2018 ;Distributed under a Creative Commons Attribution 4.0 International License ;Wageningen University & Research ;ISSN: 1061-4036 ;EISSN: 1546-1718 ;DOI: 10.1038/s41588-018-0056-5 ;PMID: 29459679

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18
Sequence variants selected from a multi-breed GWAS can improve the reliability of genomic predictions in dairy cattle
Sequence variants selected from a multi-breed GWAS can improve the reliability of genomic predictions in dairy cattle
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Sequence variants selected from a multi-breed GWAS can improve the reliability of genomic predictions in dairy cattle

Genetics selection evolution (Paris), 2016-11, Vol.48 (1), p.83-83, Article 83 [Peer Reviewed Journal]

Copyright BioMed Central 2016 ;2016. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. ;Attribution ;The Author(s) 2016 ;ISSN: 1297-9686 ;ISSN: 0999-193X ;EISSN: 1297-9686 ;DOI: 10.1186/s12711-016-0259-0 ;PMID: 27809758

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19
Quantifying the contribution of sequence variants with regulatory and evolutionary significance to 34 bovine complex traits
Quantifying the contribution of sequence variants with regulatory and evolutionary significance to 34 bovine complex traits
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Quantifying the contribution of sequence variants with regulatory and evolutionary significance to 34 bovine complex traits

Proceedings of the National Academy of Sciences - PNAS, 2019-09, Vol.116 (39), p.19398-19408 [Peer Reviewed Journal]

Copyright © 2019 the Author(s). Published by PNAS. ;Copyright National Academy of Sciences Sep 24, 2019 ;Copyright © 2019 the Author(s). Published by PNAS. 2019 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1904159116 ;PMID: 31501319

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20
Estimation of inbreeding using pedigree, 50k SNP chip genotypes and full sequence data in three cattle breeds
Estimation of inbreeding using pedigree, 50k SNP chip genotypes and full sequence data in three cattle breeds
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Estimation of inbreeding using pedigree, 50k SNP chip genotypes and full sequence data in three cattle breeds

BMC genetics, 2015-07, Vol.16 (1), p.88-88, Article 88 [Peer Reviewed Journal]

COPYRIGHT 2015 BioMed Central Ltd. ;COPYRIGHT 2015 BioMed Central Ltd. ;Copyright BioMed Central 2015 ;Zhang et al. 2015 ;Wageningen University & Research ;ISSN: 1471-2156 ;EISSN: 1471-2156 ;DOI: 10.1186/s12863-015-0227-7 ;PMID: 26195126

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