Publications

Peer-reviewed publications at QGG

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Ettema, J. F., Thomasen, J. R., Hjortø, L., Kargo, M., Ostergaard, S. & Sorensen, A. C. (2017). Economic opportunities for using sexed semen and semen of beef bulls in dairy herds. Journal of Dairy Science, 100(5), 4161-4171. https://doi.org/10.3168/jds.2016-11333

Guldbrandtsen, B., (2017). Bestemmelse af tilhørsforhold af dyr til Sortbroget Landsvin, 27. april 2017, No. 2017-760-000193, 8 p., Apr 26, 2017.

Wang, C., Li, X., Qian, R., Su, G., Zhang, Q. & Ding, X. (2017). Bayesian methods for jointly estimating genomic breeding values of one continuous and one threshold trait. PLoS One, 12(4), Article e0175448. https://doi.org/10.1371/journal.pone.0175448

Xiang, T., Christensen, O. F. & Legarra, A. (2017). Technical note: Genomic evaluation for crossbred performance in a single-step approach with metafounders. Journal of Animal Science, 95(4), 1472-1480. https://doi.org/10.2527/jas2016.1155

Esfandyari, H. & Sørensen, A. C. (2017, Apr 3). xbreed: An R package for genomic simulation of purebred and crossbred populations. https://cran.r-project.org/web/packages/xbreed/index.html

Meier, K., Norberg, E., Thomsen, B. & Sorensen, A. C. (2017). Combining breeding practice and quantitative genetic theory: Examples from a fish breeding network in Denmark. Aquaculture, 472(Special Issue), 133.

Rovere, G., Ducro, B. J., van Arendonk, J. A. M., Norberg, E. & Madsen, P. (2017). Genetic correlations between dressage, show jumping and studbook-entry inspection traits in a process of specialization in Dutch Warmblood horses. Journal of Animal Breeding and Genetics, 134(2), 162-171. https://doi.org/10.1111/jbg.12241

Stjernholm, T., Ommen, P., Langkilde, A., Johansen, C., Iversen, L., Rosada, C. & Stenderup, K. (2017). Leptin-deficiency in mice counteracts imiquimod (IMQ)-induced psoriasis-like skin inflammation while leptin stimulation induces inflammation in human keratinocytes. Experimental Dermatology, 26(4), 338-345. https://doi.org/10.1111/exd.13149

Liu, H., Henryon, M. & Sørensen, A. C. (2017). Mating strategies with genomic information reduce rates of inbreeding in animal breeding schemes without compromising genetic gain. Animal, 11(4), 547-555. https://doi.org/10.1017/S1751731116001786

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

Shirali, M., Strathe, A. B., Mark, T., Nielsen, B. & Jensen, J. (2017). Joint analysis of longitudinal feed intake and single recorded production traits in pigs using a novel Horizontal model. Journal of Animal Science, 95(3), 1050-1062. https://doi.org/10.2527/jas.2016.0606

Salleh, S. M., Mazzoni, G., Höglund, J. K., Olijhoek, D. W., Lund, P., Løvendahl, P. & Kadarmideen, H. N. (2017). RNA-Seq transcriptomics and pathway analyses reveal potential regulatory genes and molecular mechanisms in high- and low-residual feed intake in Nordic dairy cattle. BMC Genomics, 18(1), Article 258. https://doi.org/10.1186/s12864-017-3622-9

Li, X., Lund, M. S., Janss, L., Wang, C., Ding, X., Zhang, Q. & Su, G. (2017). The patterns of genomic variances and covariances across genome for milk production traits between Chinese and Nordic Holstein populations. BMC Genetics, 18, Article 26. https://doi.org/10.1186/s12863-017-0491-9

Garcia-Baccino, C. A., Legarra, A., Christensen, O. F., Misztal, I., Pocrnic, I., Vitezica, Z. G. & Cantet, R. J. C. (2017). Metafounders are related to F_st fixation indices and reduce bias in single-step genomic evaluations. Genetics Selection Evolution, 49(1), 1-14. Article 34. https://doi.org/10.1186/s12711-017-0309-2

Liu, T., Luo, C., Wang, J., Ma, J., Shu, D., Lund, M. S., Su, G. & Qu, H. (2017). Assessment of the genomic prediction accuracy for feed efficiency traits in meat-type chickens. PLoS One, 12(3), Article e0173620. https://doi.org/10.1371/journal.pone.0173620

Løvendahl, P. (2017). Detection of carry-over in automated milk sampling equipment. Agroscope Science, (45), 21-24. https://www.agroscope.admin.ch/agroscope/en/home/publications/publication-search/agroscope-science.html

Munk, A., Buitenhuis, A. J. & Kargo, M. (2017). Viden om mælkens fedtsyreindhold giver nye muligheder. Oekologi & Erhverv, 604, 15. http://okologi.dk/oekologi-og-erhverv/nyheder/2017/02/oekologi-forskning-oekologi-erhverv-nr-604

Difford, G. F., Vlok, A. C., Rhode, C. & Brink, D. (2017). Heritability of growth traits in South African Abalone (Haliotis midae L.) using the ‘internal reference’ method. Aquaculture, 468(Part 1), 451-457. https://doi.org/10.1016/j.aquaculture.2016.10.042

Kargo, M. (2017). Fedtsyremålinger på enkeltkøer - potentiale og perspektiver. Paper presented at Kvægkongres 2017, Herning, Denmark. http://orgprints.org/31276/

Le, T. H., Christensen, O. F., Nielsen, B. & Sahana, G. (2017). Genome-wide association study for conformation traits in three Danish pig breeds. Genetics Selection Evolution, 49(1), Article 12. https://doi.org/10.1186/s12711-017-0289-2

Welderufael, B. G., de Koning, D. J., Janss, L. L. G., Franzén, J. & Fikse, W. F. (2017). Simultaneous genetic evaluation of simulated mastitis susceptibility and recovery ability using a bivariate threshold sire model. Acta Agriculturae Scandinavica, Section A - Animal Science, 66(3), 125-134. https://doi.org/10.1080/09064702.2016.1275761

Chung, N. C., Szyda, J., Frąszczak, M., Fries, H. R., Lund, M. S., Guldbrandtsen, B., Boichard, D. A., Stothard, P., Veerkamp, R., Goddard, M., Van Tassell, C. P. & Hayes, B. (2017). Population Structure Analysis of Bull Genomes of European and Western Ancestry. Scientific Reports, 7, Article 40688. https://doi.org/10.1038/srep40688

Buitenhuis, A. J., Kargo, M. & Munk, A. (2017, Jan 13). The fatty acid profile of the milk is measured on all cows in Denmark: Analysis of milk samples shows a large genetic variation, which opens up the possibility to change the fatty acid profile of the cow by genetic selection. http://icrofs.dk/en/aktuelt/nyheder/viewnews/artikel/the-fatty-acid-profile-of-the-milk-is-measured-on-all-cows-in-denmark/

Kargo, M. (2017, Jan 12). Koens gener kan afgøre mælkens sundhed. http://dca.au.dk/aktuelt/nyheder/vis/artikel/koens-gener-kan-afgoere-maelkens-sundhed/

Wang, H.-M., Shi, L., Liang, T., Wang, B., Wu, W. J., Su, G., Wei, J., Li, P. & Huang, R. (2017). MiR-696 regulates C2C12 cell proliferation and differentiation by targeting CNTFRα. International Journal of Biological Sciences, 13(4), 413-425. https://doi.org/10.7150/ijbs.17508

Shetty, N., Løvendahl, P., Lund, M. S. & Buitenhuis, A. J. (2017). Prediction and validation of residual feed intake and dry matter intake in Danish lactating dairy cows using mid-infrared spectroscopy of milk. Journal of Dairy Science, 100(1), 253-264. https://doi.org/10.3168/jds.2016-11609

Cericola, F., Jahoor, A., Orabi, J., Andersen, J. R., Janss, L. L. & Jensen, J. (2017). Optimizing Training Population Size and Genotyping Strategy for Genomic Prediction Using Association Study Results and Pedigree Information. A Case of Study in Advanced Wheat Breeding Lines. PLoS One, 12(1), e0169606. Article e0169606. https://doi.org/10.1371/journal.pone.0169606

Tessema, B. B., Liu, H., Andersen, J. R. & Jensen, J. (2017). Stochastic Simulation of Selective Breeding Schemes for Wheat. Poster session presented at PAG 2017, San Diego, United States.

Poulsen, N. A., Le, T. T. T., Gregersen, V. R., Stenholt Hansen, M., Christensen, B., Buitenhuis, A. J., Sørensen, E. S. & Larsen, L. B. (2017). Absolute quantification of individual milk proteins with ingredient potential. Abstract from 10th NIZO Dairy Conference , Papendal, Netherlands.

Poulsen, N. A., Le, T. T. T., Gregersen, V. R., Stenholt Hansen, M., Christensen, B., Buitenhuis, A. J., Sørensen, E. S. & Larsen, L. B. (2017). Absolute quantification of individual milk proteins with ingredient potential. Poster session presented at 10th NIZO Dairy Conference , Papendal, Netherlands.

Schönherz, A. (2017). Acute Myeloid Leukemia Classification System That Associates Normal Myeloid-Cell Subset Gene Signatures with Prognosis. Poster session presented at 59th ASH Annual Meeting & Exposition, Atlanta, United States.

Gebregiwergis, G. T., Meuwissen, T. H. E., Sørensen, A. C. & Henryon, M. (2017). Alternative genomic relationship matrices in genomic optimum optimun contribution selection. Abstract from 68th Annual Meeting of the European Federation of Animal Science , Tallinn, Estonia. http://www.dairycareaction.org/uploads/2/4/2/6/24266896/eaap2017_book_of_abstracts_-_preliminary_pages.pdf

Su, G. (2017). Application of traditional and modern methods to improve accuracy of genetic selection. Invited speech.. Abstract from The 1st CM Swine Summit, Suzhou, China.

Schönherz, A. (2017). Beneficial Effect of Microrna-155 in Vincristine Response and Clinical Outcome in Especially GCB Diffuse Large B-Cell Lymphoma. Poster session presented at 59th ASH Annual Meeting & Exposition, Atlanta, United States.

Guo, G., Hou, Y., Zhang, Y. & Su, G. (2017). Comparison of models for genetic evaluation of number of inseminations to conception in Danish Holstein cows. Animal Science Journal, 88(4), 567-574. https://doi.org/10.1111/asj.12406

Larsen, M., Hellwing, A. L. F., Larsen, T., Løvendahl, P., Sehested, J. & Weisbjerg, M. R. (2017). Creatinine in milk as biomarker for muscle protein mobilisation in postpartum cows. 407. Abstract from 68th Annual Meeting of the European Federation of Animal Science , Tallinn, Estonia.

Poulsen, N. A., Hein, L., Gregersen, S. B., Sørensen, L. P., Larsen, L. B., Kargo, M. & Buitenhuis, A. J. (2017). Detailed milk fatty acid profiling of the Danish dairy cattle population. Abstract from 14th International Symposium on Milk Genomics and Human Health, Québec City, Canada.

Poulsen, N. A., Hein, L., Gregersen, S. B., Sørensen, L. P., Larsen, L. B., Kargo, M. & Buitenhuis, A. J. (2017). Detailed milk fatty acid profiling of the Danish dairy cattle population. Poster session presented at 14th International Symposium on Milk Genomics and Human Health, Québec City, Canada.

Shetty, N., Difford, G., Lassen, J., Løvendahl, P. & Buitenhuis, A. J. (2017). Feasibility of FT-IR-milk spectra to predict methane emissions in danish lactating dairy cows. 199. Abstract from 68th Annual Meeting of the European Federation of Animal Science , Tallinn, Estonia.

Løvendahl, P., Lauritsen, U., Hansen, L. F., Persson, J. & Sarup, P. M. (2017). Genetic assessment of intra-individual animal variation in milking order of Jersey cows. Abstract from 68th Annual Meeting of the European Federation of Animal Science , Tallinn, Estonia.

Poulsen, N. A., Buitenhuis, A. J., C. Robinson, R., Barile, D. & Larsen, L. B. (2017). Genetic parameter estimation for bovine milk oligosaccharides in Danish dairy breeds. Abstract from 14th International Symposium on Milk Genomics and Human Health, Québec City, Canada.

Poulsen, N. A., Buitenhuis, A. J., C. Robinson, R., Barile, D. & Larsen, L. B. (2017). Genetic parameter estimation of bovine milk oligosaccharides in Danish dairy breeds. Abstract from Conference on milk composistion, functional genomics and health aspects, Larkollen, Norway.

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), Article 8487. https://doi.org/10.1038/s41598-017-09170-9

Løvendahl, P. & Weisbjerg, M. R. (2017). Lactose in milk - How can lactose concentration data be beneficial in management and breeding?. 99-104. Abstract from ICAR 2017, Edinburgh, United Kingdom.

Szalanski, M., Kristensen, T., Difford, G., Løvendahl, P. & Lassen, J. (2017). Methane emission in Jersey cows during spring transition from in-door feeding to grazing. In Book of Abstracts of the 68th Annual Meeting of the European Federation of Animal Science (2017 ed., Vol. 23, pp. 148-148). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-859-9

Gregersen, V. R., Sørensen, E. S., S. Christiansen, B., Buitenhuis, A. J., Poulsen, N. A., Holm, L.-E., Stenholt Hansen, M., Larsen, L. B. & Thomsen, B. (2017). Osteopontin and its relation to transcription of the major milk proteins. Abstract from 14th International Symposium on Milk Genomics and Human Health, Québec City, Canada.

Gregersen, V. R., Sørensen, E. S., S. Christiansen, B., Buitenhuis, A. J., Poulsen, N. A., Holm, L.-E., Stenholt Hansen, M., Larsen, L. B. & Thomsen, B. (2017). Osteopontin and its relation to transcription of the major milk proteins. Poster session presented at 14th International Symposium on Milk Genomics and Human Health, Québec City, Canada.

Clasen, J. B., Lehmann, J. O., Thomasen, J. R., Østergaard, S. & Kargo, M. (2017). Sexed semen counteracts the increase in the genetic lag in dairy herds managed for extended lactation. In Book of Abstracts of the 68th Annual Meeting of the European Federation of Animal Science (2017 ed., Vol. 23, pp. 255-255). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-859-9

Miglior, F., Baes, C. B., Canovas, A., Coffey, M., Connor, E. E., De Pauw, M., Gredler, B., Goddard, E., Hailu, G., Lassen, J., Amer, P., Osborne, V., Pryce, J., Sargolzaei, M., Schenkel, F. S., Wall, E., Wang, Z., Wright, T. & Stothard, P. (2017). The efficient dairy genome project: environmental stewardship through genomic selection. 376. Abstract from 68th Annual Meeting of the European Federation of Animal Science , Tallinn, Estonia.

Younesi, N., Shariati, M., Zerehdaran, S., Noghabi, M. J. & Løvendahl, P. (2017). Using nonlinear quantile regression to describe the milk somatic cell count of Iranian Holstein cows. 262. Abstract from 68th Annual Meeting of the European Federation of Animal Science , Tallinn, Estonia.

Karaman, E., Lund, M. S., Anche, M. T., Janss, L. & Su, G. (2017). Weighted Multi-Trait GBLUP: Using (co)variance estimates from Bayesian models. Poster session presented at 5th Annual GenSAP Meeting, 15-16 November 2017, Billund, Denmark.

Guldbrandtsen, B., Mullaart, E., Fritz, S., De Roo, S., Aamand, G. P., David, X., Jimenez, J. A., Alkhoder, H., Liu, Z., Schrooten, C. & Zukowski, K. (2017). Wide-spread adoption of customized genotyping improves European cattle breeding. Abstract from 68th Annual Meeting of the European Federation of Animal Science , Tallinn, Estonia.

Esfandyari, H. & Sørensen, A. C. (2017). xbreed: an R package for genomic simulation of purebreds and crossbreds. Abstract from 68th Annual Meeting of the European Federation of Animal Science , Tallinn, Estonia.

Gregersen, V. R., Madsen, L. B., Poulsen, N. A., Thomsen, B., Panitz, F., Stenholt Hansen, M., Buitenhuis, A. J., Holm, L.-E., Larsen, L. B. & Bendixen, C. (2016). Fine mapping of a quantitative trait locus. 2333-2342. Abstract from 2nd Annual Danish Bioinformatics Conference, Odense, Denmark. https://doi.org/10.1007/s00122-016-2770-7

Ismael, A., Strandberg, E., Berglund, B., Kargo, M., Fogh, A. & Løvendahl, P. (2016). Genotype by environment interaction for activity-based estrus traits in relation to production level for Danish Holstein. Journal of Dairy Science, 99(12), 9834-9844. https://doi.org/10.3168/jds.2016-11446

Slagboom, M., Kargo, M., Edwards, D., Sørensen, A. C., Thomasen, J. R. & Hjortø, L. (2016). Organic dairy farmers put more emphasis on production traits than conventional farmers. Journal of Dairy Science, 99(12), 9845–9856. https://doi.org/10.3168/jds.2016-11346

Løvendahl, P., Sørensen, L. P., Bjerring, M. & Lassen, J. (2016). Short communication: Genetic variation in choice consistency for cows accessing automatic milking units. Journal of Dairy Science, 99(12), 9857-9863. https://doi.org/10.3168/jds.2016-11287

Rovere, G., Ducro, B. J., van Arendonk, J. A. M., Norberg, E. & Madsen, P. (2016). Analysis of competition performance in dressage and show jumping of Dutch Warmblood horses. Journal of Animal Breeding and Genetics, 133(6), 503-512. https://doi.org/10.1111/jbg.12221

Kargo, M., Buitenhuis, A. J. & Munk, A. (2016). Fedtsyreprofilen i mælk fra malkekøer - potentiale og perspektiver. DCA - Nationalt Center for Fødevarer og Jordbrug. DCA rapport No. 088

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. Article 98. https://doi.org/10.1186/s12711-016-0271-4

Pertoldi, C., Bahrndorff, S., Kurbalija Novicic, Z. & Rohde, P. D. (2016). The Novel Concept of “Behavioural Instability” and Its Potential Applications. Symmetry, 8(11), 1-13. Article 135. https://doi.org/10.3390/sym8110135

de Haas, Y., Pryce, J. E., Wall, E., McParland, S., Manzanilla-Pech, C., Difford, G. & Lassen, J. (2016). Genomic selection for methane emission. Journal of Animal Science, 94(supplement 5), 197-198. Article 0407. https://doi.org/10.2527/jam2016-0407

Steffensen, S., Pedersen, H., Adhikari, K., Laursen, B., Jensen, C., Høyer, S., Borre, M., Pedersen, H. H., Borre, M., Edwards, D. & Fomsgaard, I. S. (2016). Benzoxazinoids in Prostate Cancer Patients after a Rye-Intensive Diet: Methods and Initial Results. Journal of Agricultural and Food Chemistry, 64(43), 8235-8245. https://doi.org/10.1021/acs.jafc.6b03765

Fè, D., Ashraf, B. H., Pedersen, M. G., Janss, L., Byrne, S., Roulund, N., Lenk, I., Didion, T., Asp, T., Jensen, C. S. & Jensen, J. (2016). Accuracy of genomic prediction in a commercial perennial ryegrass breeding program. The Plant Genome, 9(3). https://doi.org/10.3835/plantgenome2015.11.0110

Amayi, A. A., Okeno, T. O., Gicheha, M. G. & Kahi, A. K. (2016). Breeding systems for genetic improvement of dairy goats in smallholder production systems in Kenya. Small Ruminant Research, 144, 176-183. https://doi.org/10.1016/j.smallrumres.2016.09.017

van den Berg, I., Boichard, D. & Lund, M. S. (2016). Comparing power and precision of within-breed and multibreed genome-wide association studies of production traits using whole-genome sequence data for 5 French and Danish dairy cattle breeds. Journal of Dairy Science, 99(11), 8932-8945. https://doi.org/10.3168/jds.2016-11073

Anneberg, I., Østergaard, S., Ettema, J. F. & Kudahl, A. B. (2016). Economic figures in herd health programmes as motivation factors for farmers. Preventive Veterinary Medicine, 134, 170-178. https://doi.org/10.1016/j.prevetmed.2016.10.007

Herold, C., Hooli, B. V., Mullin, K., Liu, T., Roehr, J. T., Mattheisen, M., Parrado, A. R., Bertram, L., Lange, C. & Tanzi, R. E. (2016). Family-based association analyses of imputed genotypes reveal genome-wide significant association of Alzheimer's disease with OSBPL6, PTPRG, and PDCL3. Molecular Psychiatry, 21(11), 1608-1612. https://doi.org/10.1038/mp.2015.218

Sarup, P., Petersen, S. M. M., Nielsen, N. C., Loeschcke, V. & Malmendal, A. (2016). Mild heat treatments induce long-term changes in metabolites associated with energy metabolism in Drosophila melanogaster. Biogerontology, 17(5), 873-882. Article 873. https://doi.org/10.1007/s10522-016-9657-5

Bengtsson, C., Fogh, A. & Kargo, M. (2016). Avlsindekset for persistens har begrænset information om ydelsen i sen laktation. Ny KvægForskning, (5), 7-8.

Løvendahl, P., Strandberg, E. & Ismael, A. I. S. (2016). BIG DATA may be useful to dairy herd managers - after washing and drying. Abstract from Fourth Dairycare Conference, Lissabon, Portugal.

Chen, M., Pan, D., Ren, H., Fu, J., Li, J., Su, G., Wang, A., Jiang, L., Zhang, Q. & Liu, J.-F. (2016). Identification of selective sweeps reveals divergent selection between Chinese Holstein and Simmental cattle populations. Genetics Selection Evolution, 48(1), 1-12. Article 76. https://doi.org/10.1186/s12711-016-0254-5

Jensen, J. (2016). Estimation of genetic variance in the age of genomics. Journal of Animal Breeding and Genetics, 133(5), 333. https://doi.org/10.1111/jbg.12235

Poulsen, N. A., Rosengaard, A. K., Szekeres, B. D., Gregersen, V. R., Jensen, H. B. & Larsen, L. B. (2016). Protein heterogeneity of bovine β-casein in Danish dairy breeds and association of rare β-casein F with milk coagulation properties. Acta Agriculturae Scandinavica, Section A - Animal Science, 66(4), 190-198. https://doi.org/10.1080/09064702.2017.1342858

Alemu, S. W., Calus, M. P. L., Muir, W. M., Peeters, K., Vereijken, A. & Bijma, P. (2016). Genomic prediction of survival time in a population of brown laying hens showing cannibalistic behavior. Genetics Selection Evolution, 48(1), Article 68. https://doi.org/10.1186/s12711-016-0247-4

Guo, X., Christensen, O. F., Ostersen, T., Wang, Y., Lund, M. S. & Su, G. (2016). Genomic prediction using models with dominance and imprinting effects for backfat thickness and average daily gain in Danish Duroc pigs. Genetics Selection Evolution, 48(1), Article 67. https://doi.org/10.1186/s12711-016-0245-6

Difford, G., Lassen, J. & Løvendahl, P. (2016). Genes and microbes, the next step in dairy cattle breeding. In Book of Abstracts of the 67th Annual Meeting of the European Federation of Animal Science: EAAP 2016, 67th Annual Meeting of the European Federation of Animal Science, Belfast UK, 29 Aug – 2 Sept 2016 (Vol. 22, pp. 285)

Wu, X., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2016). Association analysis for feet and legs disorders with whole-genome sequence variants in 3 dairy cattle breeds. Journal of Dairy Science, 99(9), 7221–7231. https://doi.org/10.3168/jds.2015-10705

Li, B., Fikse, W. F., Lassen, J., Lidauer, M. H., Løvendahl, P., Mäntysaari, P. & Berglund, B. (2016). Genetic parameters for dry matter intake in primiparous Holstein, Nordic Red, and Jersey cows in the first half of lactation. Journal of Dairy Science, 99(9), 7232-7239. https://doi.org/10.3168/jds.2015-10669

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

Mao, X., Johansson, A. M., Sahana, G., Guldbrandtsen, B. & De Koning, D.-J. (2016). Short communication: Imputation of markers on the Bovine X chromosome. Journal of Dairy Science, 99(9), 7313-7318. https://doi.org/10.3168/jds.2016-11160

Ismael, A. I. S., Strandberg, E., Berglund, B., Kargo, M., Fogh, A. & Løvendahl, P. (2016). Genotype by environment interaction for activity based estrus traits in Danish Holstein. In Book of Abstracts of the 67th Annual Meeting of the European Association for Animal Production Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-830-8

Salleh, S. M., Mazzoni, G., Höglund, J., Olijhoek, D., Lund, P., Løvendahl, P. & Kadarmideen, H. N. (2016). Transcritpomics of feed efficiency in Nordic dairy cattle. Abstract from 67th Annual Meeting of the European Federation of Animal Science (EAAP 2016), Belfast, United Kingdom.

Guldbrandtsen, B., (2016). Bestemmelse af tilhørsforhold af dyr til Sortbroget Landsvin, No. 2234410, 8 p., Aug 27, 2016.

Rohde, P. D., Demontis, D., Castro Dias Cuyabano, B., Børglum, A. & Sørensen, P. (2016). Covariance Association Test (CVAT) Identifies Genetic Markers Associated with Schizophrenia in Functionally Associated Biological Processes. 1901-1913. Poster session presented at 2nd Annual Danish Bioinformatics Conference, Odense, Denmark. https://doi.org/10.1534/genetics.116.189498

Zhang, Q., Guldbrandtsen, B., Calus, M. P. L., Lund, M. S. & Sahana, G. (2016). Comparison of gene-based rare variant association mapping methods for quantitative traits in a bovine population with complex familial relationships. Genetics Selection Evolution, 48(1), Article 60. https://doi.org/10.1186/s12711-016-0238-5

Iddamalgoda, L., Das, P. S., Aponso, A., Sundararajan, V. S., Suravajhala, P. & Valadi, J. K. (2016). Data Mining and Pattern Recognition Models for Identifying Inherited Diseases: Challenges and Implications. Frontiers in Genetics, 7(AUG), Article 136. https://doi.org/10.3389/fgene.2016.00136

Buitenhuis, A. J., Poulsen, N. A., Gebreyesus, G. & Larsen, L. B. (2016). Estimation of genetic parameters and detection of chromosomal regions affecting the major milk proteins and their post translational modifications in Danish Holstein and Danish Jersey cattle. BMC Genetics, 17(1), Article 114. https://doi.org/10.1186/s12863-016-0421-2

Ulrich-Lynge, S. L., Juul-Madsen, H. R., Kjærup, R. B., Okimoto, R., Abrahamsen, M., Maurischat, S., Sørensen, P. & Dalgaard, T. S. (2016). Broilers with low serum Mannose-binding Lectin show increased faecal shedding of Salmonella enterica serovar Montevideo. Poultry Science, 95(8), 1779-1786. https://doi.org/10.3382/ps/pew101

Rohde, P. D., Demontis, D., Castro Dias Cuyabano, B., Børglum, A. & Sørensen, P. (2016). Covariance Association Test (CVAT) Identifies Genetic Markers Associated with Schizophrenia in Functionally Associated Biological Processes. Genetics (Print), 203(4), 1901-1913. https://doi.org/10.1534/genetics.116.189498

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

Simianer, H. & Sørensen, P. (2016). ICQG 5 on Madison's Isthmus links genomics and statistics of complex traits. Journal of Animal Breeding and Genetics, 133(4), 249-250. https://doi.org/10.1111/jbg.12231

Jönsson, L., Madsen, P. & Mark, T. (2016). Modelling repeated competition records in genetic evaluations of Danish sport horses. Journal of Animal Breeding and Genetics, 133(4), 291-302. https://doi.org/10.1111/jbg.12190

Pedersen, H. S., Løvendahl, P., Larsen, K. E., Madsen, L. B. & Callesen, H. (2016). Porcine oocyte mtDNA copy number is high or low depending on the donor. Zygote, 24(4), 617-623. https://doi.org/10.1017/S0967199415000611

Rohde, P. D., Demontis, D., Castro Dias Cuyabano, B., Børglum, A. & Sørensen, P. (2016). Covariance Association Test (CVAT) Identifies Genetic Markers Associated with Schizophrenia in Functionally Associated Biological Processes. 1901-1913. Poster session presented at 5th International Conference on Quantitative Genetics , Madison, United States. https://doi.org/10.1534/genetics.116.189498

Gregersen, V. R., Madsen, L. B., Poulsen, N. A., Thomsen, B., Panitz, F., Stenholt Hansen, M., Buitenhuis, A. J., Holm, L.-E., Larsen, L. B. & Bendixen, C. (2016). Fine mapping of a quantitative trait locus. Poster session presented at 2nd Annual Danish Bioinformatics Conference, Odense, Denmark.

Szekeres, B. D., Schönherz, A., Nielsen, V. H. & Guldbrandtsen, B. (2016). Gamle danske husdyrracers genomer - Racernes oprindelse og slægtskab. DCA - Nationalt Center for Fødevarer og Jordbrug. DCA rapport No. 082

Vanlierde, A., Grelet, C., Gengler, N., Ferris, C. P., Sørensen, M. T., Höglund, J., Carter, F., Ingvartsen, K. L., Santoro, A., Dardenne, P. & Dehareng, F. (2016). Potential use of milk MIR spectra to obtain new health phenotypes for dairy cows in the framework of the GplusE project. In Book of abstracts of the 67th Annual Meeting of the European Federation of Animal Science (67 ed.). Wageningen Academic Publishers.

Groeneveld, L. F., Gregusson, S., Guldbrandtsen, B., Hiemstra, S. J., Hveem, K., Kantanen, J., Lohi, H., Stroemstedt, L. & Berg, P. (2016). Domesticated Animal Biobanking: Land of Opportunity. PLOS Biology, 14(7), Article e1002523. https://doi.org/10.1371/journal.pbio.1002523

Kumar, A., Kumar, S., Kumar, U., Suravajhala, P. & Gajula, M. N. V. P. (2016). Functional and structural insights into novel DREB1A transcription factors in common wheat (Triticum aestivum L.): A molecular modeling approach. Computational Biology and Chemistry, 64, 217-226. https://doi.org/10.1016/j.compbiolchem.2016.07.008

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Jette Odgaard Villemoes