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 from The 11th World Congress on Genetics Applied to Livestock Production , Auckland, New Zealand.
Gebreyesus, G., Buitenhuis, A. J., Poulsen, N. A., Visker, M. H. P. W., Zhang, Q., van Valenberg, H. J. F., Sun, D. & Bovenhuis, H. (2017).
Multi-population GWAS for the de novo synthesis of milk fatty acids. Poster session presented at 5th Annual GenSAP Meeting, 15-16 November 2017, Billund, Denmark.
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 presented at 5th Annual GenSAP Meeting, 15-16 November 2017, Billund, Denmark.
Gebreyesus, G., Buitenhuis, A. J., Poulsen, N. A., Visker, M. H. P. W., Zhang, Q., van Valenberg, H. J. F., Sun, D. & Bovenhuis, H. (2019).
Multi-population GWAS and enrichment analyses reveal novel genomic regions and promising candidate genes underlying bovine milk fatty acid composition.
BMC Genomics,
20, Article 178.
https://doi.org/10.1186/s12864-019-5573-9
Gebreyesus, G., Bovenhuis, H., Lund, M. S., Poulsen, N. A., Sun, D.
& Buitenhuis, B. (2019).
Reliability of genomic prediction for milk fatty acid composition by using a multi-population reference and incorporating GWAS results.
Genetics Selection Evolution,
51(1), Article 16.
https://doi.org/10.1186/s12711-019-0460-z
Gebreyesus, G., Buitenhuis, A. J., Poulsen, N. A., Visker, M. H. P. W., Zhang, Q., van Valenberg, H. J. F., Sun, D. & Bovenhuis, H. (2019).
Combining multi-population datasets for joint genome-wide association and meta-analyses: The case of bovine milk fat composition traits.
Journal of Dairy Science,
102(12), 11124-11141.
https://doi.org/10.3168/jds.2019-16676
Fé, D., Ashraf, B., Byrne, S., Czaban, A., Roulund, N., Lenk, I.
, Asp, T., Pedersen, M. G., Jensen, C. S.
, Janss, L. & Jensen, J. (2014).
Prospects for introducing genomic selection info forage grass breeding. In
Proceedings of the 25th General Meeting of the European Grassland Federation (pp. 830-832)
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, Article 45560.
https://doi.org/10.1038/srep45560
Fang, L., Sahana, G., Ma, P., Su, G., Yu, Y., Zhang, S.
, Lund, M. S. & Sørensen, P. (2017).
Exploring the genetic architecture and improving genomic prediction accuracy for mastitis and milk production traits in dairy cattle by mapping variants to hepatic transcriptomic regions responsive to intra-mammary infection.
Genetics Selection Evolution,
49, Article 44.
https://doi.org/10.1186/s12711-017-0319-0
Fang, L., Sahana, G., Ma, P., Su, G., Yu, Y., Zhang, S.
, Lund, M. S. & Sørensen, P. (2017).
Use of biological priors enhances understanding of genetic architecture and genomic prediction of complex traits within and between dairy cattle breeds.
B M C Genomics,
18(1), 604. Article 604.
https://doi.org/10.1186/s12864-017-4004-z
Fang, L., Sørensen, P., Sahana, G., Panitz, F., Su, G., Zhang, S., Yu, Y.
, Li, B., Ma, L., Liu, G.
, Lund, M. S. & Thomsen, B. (2018).
MicroRNA-guided prioritization of genome-wide association signals reveals the importance of microRNA-target gene networks for complex traits in cattle.
Scientific Reports,
8(1), Article 9345.
https://doi.org/10.1038/s41598-018-27729-y
Esfandyari, H., Henryon, M., Berg, P., Thomasen, J. R., Bjima, P.
& Sørensen, A. C. (2017).
Response to selection in finite locus models with non-additive effects.
Journal of Heredity,
108(3), 318-327.
https://doi.org/10.1093/jhered/esw123
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
de los Campos, G.
, Sorensen, D. & Gianola, D. (2014).
What is it?. Paper presented at 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada.
Daetwyler, H. D., Capitan, A., Pausch, H., Stothard, P., van Binsbergen, R.
, Brøndum, R. F., Liao, X., Djari, A., Rodriguez, S. C., Grohs, C., Jung, S., Esquerré, D., Bouchez, O., Gollnick, N. S., Rossignol, M.-N., Klopp, C., Rocha, D., Fritz, S., Eggen, A. ... Hayes, B. J. (2014).
Whole-genome sequencing of 234 bulls facilitates mapping of monogenic and complex traits in cattle.
Nature Genetics,
46(8), 858 - 865.
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 presented at Plant and Animal Genome Conference XIII, San Diego, United States.
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. In
Final Program, Abstract & Exhibit Guide (pp. 290-290)
https://pag.confex.com/pag/xxiii/webprogram/Paper15890.html
Castro Dias Cuyabano, B., Su, G., Rosa, G. J. M.
, Lund, M. S. & Gianola, D. (2015).
Bootstrap study of genome-enabled prediction reliabilities using haplotype blocks across Nordic Red cattle breeds.
Journal of Dairy Science,
98(10), 7351-63.
https://doi.org/10.3168/jds.2015-9360
Cao, L., Mulder, H. A.
, Liu, H., Nielsen, H. M. & S⊘rensen, A. C. (2021).
Competitive gene flow does not necessarily maximize the genetic gain of genomic breeding programs in the presence of genotype-by-environment interaction.
Journal of Dairy Science,
104(7), 8122-8134.
https://doi.org/10.3168/jds.2020-19823
Cai, Z., Petersen, B.
, Sahana, G., Madsen, L. B., Larsen, K., Thomsen, B., Bendixen, C., Lund, M. S., Guldbrandtsen, B. & Panitz, F. (2017).
The first draft reference genome of the American mink (Neovison vison).
Scientific Reports,
7(1), Article 14564.
https://doi.org/10.1038/s41598-017-15169-z
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.
P L o S One,
8(3), Article e57438.
https://doi.org/10.1371/journal.pone.0057438
Byrne, S., Cericola, F., Janss, L., Jensen, J., Fé, D., Ashraf, B., Czaban, A., Greve-Pedersen, M., Lenk, I., Jensen, C. S.
& Asp, T. (2015).
Partitioning SNPs Identified By GBS into Genome Annotation Classes and Calculating SNP-Explained Variances for Heading Date and Disease Resistance from the Resulting Genomic Relationship Matrices - Lolium perenne. In
Final Program, Abstract & Exhibit Guide (pp. 290-290)
https://pag.confex.com/pag/xxiii/webprogram/Paper15700.html
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.
B M C Genomics,
15(1112), 1-11.
https://doi.org/10.1186/1471-2164-15-1112
Brøndum, R. F., Guldbrandtsen, B., Sahana, G., Lund, M. S. & Su, G. (2014).
Strategies for imputation to whole genome sequence using a single or multi-breed reference population in cattle.
B M C Genomics,
15(728), 1-8.
https://doi.org/10.1186/1471-2164-15-728
Brøndum, R. F., Su, G., Janss, L., Sahana, G. & Lund, M. S. (2014).
Genomic prediction using QTL derived from whole genome sequence data. Paper presented at 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada.
https://event.crowdcompass.com/wcgalp2014/activity/hDodVMMoTo
Brøndum, R. F., Su, G., Janss, L., Sahana, G., Guldbrandtsen, B., Boichard, D. A.
& Lund, M. S. (2015).
Quantitative trait loci markers derived from whole genome sequence data increases the reliability of genomic prediction.
Journal of Dairy Science,
98(6), 4107-4116.
https://doi.org/10.3168/jds.2014-9005
Bouwman, A. C., Daetwyler, H. D., Chamberlain, A. J., Ponce, C. H., Sargolzaei, M., Schenkel, F. S.
, Sahana, G., Govignon-Gion, A.
, Boitard, S., Dolezal, M., Pausch, H.
, Brøndum, R. F., Bowman, P. J.
, Thomsen, B., Guldbrandtsen, B., Lund, M. S., Servin, B., Garrick, D. J., Reecy, J. ... Hayes, B. J. (2018).
Meta-analysis of genome-wide association studies for cattle stature identifies common genes that regulate body size in mammals.
Nature Genetics,
50(3), 362-372.
https://doi.org/10.1038/s41588-018-0056-5
Boichard, D. A., Boussaha, M., Capitan, A., Rocha, D., Hoze, C., Sanchez, M.-P., Tribout, T., Letaief, R., Croiseau, P., Grohs, C., Li, W., Harland, C., Charlier, C.
, Lund, M. S., Sahana, G., Georges, M., Barbier, S., Coppieters, W., Fritz, S.
& Guldbrandtsen, B. (2018).
Experience from large scale use of the EuroGenomics custom SNP chip in cattle. In
Proceedings of the World Congress on Genetics Applied to Livestock Production: Volume Molecular Genetics 4 (Vol. 11). Article 11.675
http://www.wcgalp.org/proceedings/2018/experience-large-scale-use-eurogenomics-custom-snp-chip-cattle
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. In
Proceeding of Plant & Animal Genome XXII: The International Conference on the Status of Plant & Animal Genome Research (pp. 157-157).
Ashraf, B. H., Byrne, S., Fé, D., Czaban, A., Asp, T., Pedersen, M. G., Lenk, I., Roulund, N., Didion, T., Jensen, C. S.
, Jensen, J. & Janss, L. L. (2016).
Estimating genomic heritabilities at the level of family-pool samples of perennial ryegrass using genotyping-by-sequencing.
Theoretical and Applied Genetics,
129(1), 45-52.
https://doi.org/10.1007/s00122-015-2607-9