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Li, X., Buitenhuis, A. J., Lund, M. S., Li, C., Sun, D., Zhang, Q., Poulsen, N. A. & Su, G. (2015). Joint genome-wide association study for milk fatty acid traits in Chinese and Danish Holstein populations. Journal of Dairy Science, 98(11), 8152-8163. https://doi.org/10.3168/jds.2015-9383

Fang, L., Sahana, G., Su, G., Yu, Y., Zhang, S., Lund, M. S. & Sørensen, P. (2017). Integrating Sequence-based GWAS and RNA-Seq Provides Novel Insights into the Genetic Basis of Mastitis and Milk Production in Dairy Cattle. Scientific Reports, 7, Artikel 45560. https://doi.org/10.1038/srep45560

Sverrisdóttir, E., Janss, L., Byrne, S. & Lehmann Nielsen, K. (2015). Initiating Genomic Selection in Tetraploid Potato. Poster-session præsenteret på 12th Solanaceae Conference, Bordeaux, Frankrig.

Sverrisdóttir, E., Janss, L., Byrne, S., Asp, T. & Lehmann Nielsen, K. (2016). Initiating genomic selection in tetraploid potato. Abstract fra 13th Solanaceae Conference, Davis, USA.

Edwards, S. M., Sarup, P. M. & Sørensen, P. (2014). Influence of Family Structure on Variance Decomposition. Poster-session præsenteret på 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014#/activity/ajh1hqcoyE

Edwards, S. M., Sarup, P. M. & Sørensen, P. (2014). Influence of Family Structure on Variance Decomposition. Afhandling præsenteret på 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://asas.org/docs/default-source/wcgalp-posters/691_paper_8972_manuscript_1723_0.pdf

Sarup, P. M., Jensen, J., Ostersen, T., Henryon, M. & Sørensen, P. (2016). Increased prediction accuracy using a genomic feature model including prior information on quantitative trait locus regions in purebred Danish Duroc pigs. BMC Genetics, 17(11), Artikel 11. https://doi.org/10.1186/s12863-015-0322-9

Sarup, P. M., Guldbrandtsen, B., Nielsen, B. N., Sørensen, P. & Jensen, J. (2014). Imputation from 60K SNP data to whole-genome level in Danish Landrace and Duroc pigs. EAAP Book of Abstracts, 169-169. http://www.wageningenacademic.com/eaap2014

Liu, A., Lund, M. S., Boichard, D. A., Karaman, E., Fritz, S., Aamand, G. P., Nielsen, U. S., Wang, Y. & Su, G. (2020). Improvement of genomic prediction by integrating additional single nucleotide polymorphisms selected from imputed whole genome sequencing data. Heredity, 124(1), 37-49. https://doi.org/10.1038/s41437-019-0246-7

Lund, M. S. (2014). How to Improve Genomic Predictions in Small Populations. Afhandling præsenteret på 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014/activity/jSOg2jQvAY

Mesbah-Uddin, M., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2018). Genotype call for chromosomal deletions using read-depth from whole genome sequence variants in cattle. Poster-session præsenteret på The 11th World Congress on Genetics Applied to Livestock Production , Auckland, New Zealand.

Ashraf, B., Fé, D., Jensen, J., Byrne, S., Asp, T., Greve-Pedersen, M., Lenk, I., Jensen, C. S. & Janss, L. (2014). Genomic Variance Estimation Based on Genotyping-by-Sequencing with Different Coverage in Perennial Ryegrass. I Proceeding of Plant & Animal Genome XXII: The International Conference on the Status of Plant & Animal Genome Research (s. 157-157).

Guldbrandtsen, B., Cai, Z., Sahana, G., Villumsen, T. M., Asp, T., Thomsen, B. & Lund, M. S. (2018). Genomics using the Assembly of the Mink Genome. I Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018: Volume Electronic Poster Session - Molecular Genetics 1 Artikel 539 http://www.wcgalp.org/proceedings/2018/genomics-using-assembly-mink-genome

Cericola, F., Fé, D., Janss, L., Byrne, S., Fé, D., Czaban, A., Asp, T., Pedersen, M. G., Roulund, N., Jensen, C. S., Lenk, I. & Jensen, J. (2015). Genomic Selection Using Genotyping-By-Sequencing Data with Different Coverage Depth in Perennial Ryegrass. Poster-session præsenteret på Plant and Animal Genome Conference XIII, San Diego, USA. https://pag.confex.com/pag/xxiii/webprogram/Paper15890.html

Cericola, F., Fé, D., Janss, L., Byrne, S., Fé, D., Czaban, A., Asp, T., Pedersen, M. G., Roulund, N., Jensen, C. S., Lenk, I. & Jensen, J. (2015). Genomic Selection Using Genotyping-By-Sequencing Data with Different Coverage Depth in Perennial Ryegrass. I Final Program, Abstract & Exhibit Guide (s. 290-290) https://pag.confex.com/pag/xxiii/webprogram/Paper15890.html

Villumsen, T. M., Su, G., Cai, Z., Guldbrandtsen, B., Asp, T., Sahana, G. & Lund, M. S. (2018). Genomic selection in mink yield higher accuracies with a Bayesian approach allowing for heterogeneous variance than a GBLUP model. I Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018: Volume Methods and Tools - Prediction 2 Artikel 11.618 http://www.wcgalp.org/proceedings/2018/genomic-selection-mink-yield-higher-accuracies-bayesian-approach-allowing

Meier, K., Sørensen, A. C., Thirstrup, J. P. & Lund, M. S. (2014). Genomic selection in mink (Neovison vison) - A simulation study. I NJF Seminar no 482 - Annual Authumn Meeting in Fur Animal Research 2014 (s. 122-129). NJF, Nordic Association of Agricultural Scientists.

Brøndum, R. F., Su, G., Janss, L., Sahana, G. & Lund, M. S. (2014). Genomic prediction using QTL derived from whole genome sequence data. Afhandling præsenteret på 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014/activity/hDodVMMoTo

Su, G., Christensen, O. F., Janss, L. & Lund, M. S. (2014). Genomic prediction using genomic relationship matrix weighted with SNP variances estimated from Bayesian mixture model. I Book of Abstracts of the 65th Annual Meeting of the European Federation of Animal Science (Bind 20, s. 217-217). Wageningen Academic Publishers. http://www.wageningenacademic.com/eaap2014

Sverrisdóttir, E., Byrne, S., Sundmark, E. H. R., Johnsen, H. Ø., Kirk, H. G., Asp, T., Janss, L. & Nielsen, K. L. (2017). Genomic prediction of starch content and chipping quality in tetraploid potato using genotyping-by-sequencing. Theoretical and Applied Genetics, 130(10), 2091-2108. https://doi.org/10.1007/s00122-017-2944-y

Laplat, F., Jensen, J. & Madsen, P. (2016). Genomic Prediction of Manganese Efficiency in Winter Barley. The Plant Genome, 9(2), 1-13. https://doi.org/10.3835/plantgenome2015.09.0085

Guo, X., Cericola, F., Fè, D., Pedersen, M. G., Lenk, I., Jensen, C. S., Jensen, J. & Janss, L. L. (2018). Genomic prediction in tetraploid ryegrass using allele frequencies based on genotyping by sequencing. Frontiers in Plant Science, 9, Artikel 1165. https://doi.org/10.3389/fpls.2018.01165

Edwards, S. M., Sørensen, I. F., Sarup, P., Mackay, T. F. C. & Sørensen, P. (2016). Genomic prediction for quantitative traits is improved by mapping variants to gene ontology categories in Drosophila melanogaster. Genetics, 203(4), 1871-1883. https://doi.org/10.1534/genetics.116.187161

Gebreyesus, G., Lund, M. S., Janss, L., Bovenhuis, H., Poulsen, N. A. & Buitenhuis, A. J. (2017). Genomic prediction for detailed milk protein composition traits. Poster-session præsenteret på 5th Annual GenSAP Meeting, 15-16 November 2017, Billund, Danmark.

Tsai, H.-Y., Janss, L. L., Andersen, J. R., Orabi, J., Jensen, J. D., Jahoor, A. & Jensen, J. (2020). Genomic prediction and GWAS of yield, quality and disease-related traits in spring barley and winter wheat. Scientific Reports, 10(1), Artikel 3347. https://doi.org/10.1038/s41598-020-60203-2

Do, D. N., Janss, L. L. G., Strathe, A. B. & Kadarmideen, H. N. (2014). Genomic prediction and genomic variance partitioning of daily and residual feed intake in pigs using Bayesian Power Lasso models. Afhandling præsenteret på 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014#/activity/cyOeeK9Wto

Kristensen, P. S., Jensen, J., Andersen, J. R., Guzmán, C., Jihad, O. & Jahoor, A. (2019). Genomic Prediction and Genome-Wide Association Studies of Flour Yield and Alveograph Quality Traits Using Advanced Winter Wheat Breeding Material. Genes, 10(9), Artikel 669. https://doi.org/10.3390/genes10090669

Xiang, T., Christensen, O. F., Vitezica, Z. G. & Legarra, A. (2018). Genomic model with correlation between additive and dominance effects. Genetics, 209(3), 711-723. https://doi.org/10.1534/genetics.118.301015

de los Campos, G., Sorensen, D. & Gianola, D. (2015). Genomic Heritability: What Is It? PLoS Genetics, 11(5), 1-21. https://doi.org/10.1371/journal.pgen.1005048

Rohde, P. D., Sørensen, I. F. & Sørensen, P. (2018). Genomic Feature Prediction Models - Improved Prediction Accuracy by Joint Marker Estimation. Poster-session præsenteret på ESHG 2018: European Society of Human Genetics, Milano, Italien.

Sørensen, P., Edwards, S. M. & Rohde, P. D. (2014). Genomic Feature Models. Afhandling præsenteret på 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://asas.org/docs/default-source/wcgalp-proceedings-oral/303_paper_10280_manuscript_1285_0.pdf

Lund, M. S., Su, G., Janss, L., Guldbrandtsen, B. & Brøndum, R. F. (2014). Genomic evaluation of cattle in a multi-breed context. Livestock Science, 166, 101-110. https://doi.org/10.1016/j.livsci.2014.05.008

Christensen, O. F., Madsen, P. & Nielsen, B. (2014). Genomic Evaluation of Both Purebred and Crossbred Performances. Afhandling præsenteret på 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014/activity/mXQraRHJs8

Christensen, O. F., Madsen, P., Nielsen, B. & Su, G. (2014). Genomic evaluation of both purebred and crossbred performances. Genetics Selection Evolution, 46(23), 1-16. https://doi.org/10.1186/1297-9686-46-23

Xiang, T., Christensen, O. F., Vitezica, Z. G. & Legarra, A. (2016). Genomic evaluation by including dominance effects and inbreeding depression for purebred and crossbred performance with an application in pigs. Genetics Selection Evolution, 48(1), 1-14. Artikel 98. https://doi.org/10.1186/s12711-016-0271-4

Rohde, P. D., Gartner, B., Ward, K., Sørensen, P. & F C Mackay, T. (2017). Genomic Analysis of Genotype-by-Social Environment Interaction for Drosophila melanogaster Aggressive Behavior. Genetics (Print), 206(4), 1969-1984. https://doi.org/10.1534/genetics.117.200642

Janss, L., Sverrisdóttir, E. & Lehmann Nielsen, K. (2015). Genomic analysis in tetraploid potato using genotyping-by-sequencing. Abstract fra XVI Meeting of the EUCARPIA , Wageningen, Holland.

Mesbah-Uddin, M., Guldbrandtsen, B., Iso-Touru, T., Vilkki, J., De Koning, D.-J., Boichard, D., Lund, M. S. & Sahana, G. (2018). Genome-wide mapping of large deletions and their population-genetic properties in dairy cattle. D N A Research, 25(1), 49-59. https://doi.org/10.1093/dnares/dsx037

Gebreyesus, G., Buitenhuis, A. J., Poulsen, N. A., Visker, M. H. P. W., Zhang, Q., van Valenberg, H. J. F., Sun, D. & Bovenhuis, H. (2018). Genome-wide association study of the de novo synthesized milk fatty acids based on Dutch, Danish and Chinese Holstein Friesians. 141. Abstract fra The 11th World Congress on Genetics Applied to Livestock Production , Auckland, New Zealand.

Marete, A. G., Sahana, G., Fritz, S., Lefebvre, R., Barbat, A., Lund, M. S., Guldbrandtsen, B. & Boichard, D. (2018). Genome-wide association study for milking speed in French Holstein cows. Journal of Dairy Science, 101(7), 6205-6219. https://doi.org/10.3168/jds.2017-14067

Zhang, Q., Guldbrandtsen, B., Thomasen, J. R., Lund, M. S. & Sahana, G. (2016). Genome-wide association study for longevity with whole-genome sequencing in 3 cattle breeds. Journal of Dairy Science, 99(9), 7289-7298. https://doi.org/10.3168/jds.2015-10697

Liu, A., Wang, Y., Sahana, G., Zhang, Q., Liu, L., Lund, M. S. & Su, G. (2017). Genome-wide Association Studies for Female Fertility Traits in Chinese and Nordic Holsteins. Scientific Reports, 7(1), Artikel 8487. https://doi.org/10.1038/s41598-017-09170-9

Li, X., Buitenhuis, A. J., Li, C., Sun, D., Zhang, Q., Lund, M. S. & Su, G. (2014). Genome-wide association of milk fatty acids in Chinese and Danish Holstein populations. Poster-session præsenteret på 65th Annual Meeting of the European Federation for Animal Science (EAAP). August 25-29 2014. Copenhagen, Denmark, Danmark.

Buitenhuis, B., Janss, L. L. G., Poulsen, N. A., Larsen, L. B., Larsen, M. K. & Sørensen, P. (2014). Genome-wide association and biological pathway analysis for milk-fat composition in Danish Holstein and Danish Jersey cattle. BMC Genomics, 15(1112), 1-11. https://doi.org/10.1186/1471-2164-15-1112

Byrne, S., Czaban, A., Studer, B., Panitz, F., Bendixen, C. & Asp, T. (2013). Genome Wide Allele Frequency Fingerprints (GWAFFs) of populations via genotyping by sequencing. PLoS One, 8(3), Artikel e57438. https://doi.org/10.1371/journal.pone.0057438

Thirstrup, J. P., Jensen, J. & Lund, M. S. (2017). Genetic parameters for fur quality graded on live animals and dried pelts of American mink (Neovison vison). Journal of Animal Breeding and Genetics (Online), 134(4), 322-331. https://doi.org/10.1111/jbg.12258

Kadri, N. K., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2015). Genetic dissection of milk yield traits and mastitis resistance QTL on chromosome 20 in dairy cattle. Journal of Dairy Science, 98(12), 9015-9025. https://doi.org/10.3168/jds.2015-9599

Sørensen, P., de los Campos, G., Morgante, F., F C Mackay, T. & Sorensen, D. (2015). Genetic control of environmental variation of two quantitative traits of Drosophila melanogaster revealed by whole-genome sequencing. Genetics (Print), 201(2), 487-497. https://doi.org/10.1534/genetics.115.180273

Sahana, G., Janss, L., Guldbrandtsen, B. & Lund, M. S. (2014). Genetic Architecture of Milk, Fat, Protein, Mastitis and Fertility Studied using NGS Data in Holstein Cattle. Afhandling præsenteret på 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014/activity/SPE1ZV6qCw

Morgante, F., Sorensen, P., Sorensen, D. A., Maltecca, C. & Mackay, T. F. C. (2015). Genetic Architecture of Micro-Environmental Plasticity in Drosophila melanogaster. Scientific Reports, 5, Artikel 9785. https://doi.org/10.1038/srep09785

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Jette Odgaard Villemoes