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Center for Quantitative Genetics and Genomics

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Zhang, Q., Guldbrandtsen, B., Bosse, M., Lund, M. S. & Sahana, G. (2014). Runs of homozygosity and distribution of functional variants in cattle genome. Paper presented at 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014#/activity/67ND0x1HWf

Zhang, Q., Calus, M. P. L., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2015). Estimation of inbreeding using pedigree, 50k SNP chip genotypes and full sequence data in three cattle breeds. BMC Genetics, 16(88), 1-16. https://doi.org/10.1186/s12863-015-0227-7

Zhang, Q., Guldbrandtsen, B., Bosse, M., Lund, M. S. & Sahana, G. (2015). Runs of homozygosity and distribution of functional variants in cattle genome. BMC Genomics, 16(542), 1-16. https://doi.org/10.1186/s12864-015-1715-x

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

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

Zhang, Q., Calus, M. P. L., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2017). Contribution of rare and low-frequency whole-genome sequence variants to complex traits variation in dairy cattle. Genetics Selection Evolution, 49(1), Article 60. https://doi.org/10.1186/s12711-017-0336-z

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

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

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

Wang, L., Janss, L. L., Madsen, P., Henshall, J., Huang, C.-H., Marois, D., Alemu, S., Sørensen, A. C. & Jensen, J. (2020). Effect of genomic selection and genotyping strategy on estimation of variance components in animal models using different relationship matrices. Genetics, selection, evolution : GSE, 52(1), Article 31. https://doi.org/10.1186/s12711-020-00550-w

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. In Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018: Volume Methods and Tools - Prediction 2 Article 11.618 http://www.wcgalp.org/proceedings/2018/genomic-selection-mink-yield-higher-accuracies-bayesian-approach-allowing

Van den Berg, I., Boichard, D. & Lund, M. S. (2016). Sequence variants selected from a multi-breed GWAS can improve the reliability of genomic predictions in dairy cattle. Genetics Selection Evolution, 48, Article 83. https://doi.org/10.1186/s12711-016-0259-0

van den Berg, I., Guldbrandtsen, B., Hozé, C., Brøndum, R. F., Boichard, D. A. & Lund, M. S. (2014). Across Breed QTL Detection and Genomic Prediction in French and Danish Dairy Cattle Breeds. Paper presented at 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014/activity/DtbvU7eMTN

van den Berg, I., Guldbrandtsen, B., Hozé, C., Brøndum, R. F., Boichard, D. A. & Lund, M. S. (2014). Across Breed QTL Detection and Genomic Prediction in French and Danish Dairy Cattle Breeds. Poster session presented at 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014/activity/DtbvU7eMTN

van den Berg, I., Boichard, D. & Lund, M. S. (2015). Multi-breed GWAS and meta-analysis using sequences of five dairy cattle breeds improve QTL mapping. In Book of Abstract of the 66th Annual Meeting of the European Federation of Animal Science (Vol. 21, pp. 347-347). Wageningen Academic Publishers. http://www.wageningenacademic.com/doi/book/10.3920/978-90-8686-816-2

van den Berg, I., Boichard, D., Guldbrandtsen, B. & Lund, M. S. (2016). Using Sequence Variants in Linkage Disequilibrium with Causative Mutations to Improve Across-Breed Prediction in Dairy Cattle: A Simulation Study. G3: Genes, Genomes, Genetics, 6(8), 2553-2561. https://doi.org/10.1534/g3.116.027730

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

Uddin, M. M., Guldbrandtsen, B., Iso-Touru, T., Vilkki, J., de Koning, D.-J., Boichard, D., Lund, M. S. & Sahana, G. (2017). A population scale discovery of large deletions in Holstein, Jersey and Nordic Red Cattle genome. Poster session presented at 36th International Society for Animal Genetics Conference, Dublin, Ireland. http://www.isag.us/Docs/Proceedings/ISAG2017_Proceedings.pdf?v3

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), Article 3347. https://doi.org/10.1038/s41598-020-60203-2

Thomasen, J. R., Liu, H. & Sørensen, A. C. (2017). Pedigree inbreeding underestimate true inbreeding in genomic dairy cattle breeding schemes. Abstract from 68th Annual Meeting of the European Federation of Animal Science , Tallinn, Estonia.

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

Tessema, B. B., Liu, H., Sørensen, A. C., Andersen, J. R. & Jensen, J. (2020). Strategies Using Genomic Selection to Increase Genetic Gain in Breeding Programs for Wheat. Frontiers in Genetics, 11, Article 578123. https://doi.org/10.3389/fgene.2020.578123

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

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

Sverrisdóttir, E., Sundmark, E. H. R., Johnsen, H. Ø., Kirk, H. G., Asp, T., Janss, L., Bryan, G. & Nielsen, K. L. (2018). The value of expanding the training population to improve genomic selection models in tetraploid potato. Frontiers in Plant Science, 9, Article 1118. https://doi.org/10.3389/fpls.2018.01118

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

Su, G., Christensen, O. F., Janss, L. & Lund, M. S. (2014). Comparison of genomic predictions using genomic relationship matrices built with different weighting factors to account for locus-specific variances. Journal of Dairy Science, 97(10), 6547-6559. https://doi.org/10.3168/jds.2014-8210

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. In Book of Abstracts of the 65th Annual Meeting of the European Federation of Animal Science (Vol. 20, pp. 217-217). Wageningen Academic Publishers. http://www.wageningenacademic.com/eaap2014

Sørensen, P., Edwards, S. M. & Rohde, P. D. (2014). Genomic Feature Models. Paper presented at 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

Sørensen, P., Edwards, S. M., Sarup, P. M. & Sorensen, D. A. (2014). Sequence-based partitioning of genomic variance using prior biological information. EAAP Book of Abstracts, 20, 167-167. http://www.wageningenacademic.com/eaap2014

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

Sørensen, I. F., Edwards, S. M., Rohde, P. D. & Sørensen, P. (2017). Multiple Trait Covariance Association Test Identifies Gene Ontology Categories Associated with Chill Coma Recovery Time in Drosophila melanogaster /631/208/721 /631/208/721 /631/208/729/743 /631/208/729/743 /119 /45 /45/43 article. Scientific Reports, 7(1), Article 2413. https://doi.org/10.1038/s41598-017-02281-3

Sarup, P. M., Jensen, J., Edwards, S. M., Ostersen, T., Sørensen, P. & Henryon, M. A. (2014). Separating Signal from Noise Estimating SNP-effects and Decomposing Genetic Variation to the Level of QTLs in Pure Breed Duroc Pigs. Paper presented at 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014/activity/8tN0Up65ZB

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

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), Article 11. https://doi.org/10.1186/s12863-015-0322-9

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. Paper presented at 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014/activity/SPE1ZV6qCw

Sahana, G., Iso-Touru, T., Wu, X., Nielsen, U., de Koning, D.-J., Lund, M. S., Vilkki, J. & Guldbrandtsen, B. (2016). A 0.5-Mbp deletion on bovine chromosome 23 is a strong candidate for stillbirth in Nordic Red cattle. Genetics Selection Evolution, 48(1), Article 35. https://doi.org/10.1186/s12711-016-0215-z

Rohde, P. D., Edwards, S. M., Sarup, P. M. & Sørensen, P. (2014). Gene-based Association Approach Identify Genes Across Stress Traits in Fruit Flies. Paper presented at 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://asas.org/docs/default-source/wcgalp-posters/673_paper_9223_manuscript_493_0.pdf

Rohde, P. D., Edwards, S. M., Sarup, P. M. & Sørensen, P. (2014). Gene-based Association Approach Identify Genes Across Stress Traits in Fruit Flies. Poster session presented at 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014/activity/ztj3NIVR9W

Rohde, P. D. (2014). Psykofluer - bananfluer som model for psykiske sygdomme. Aktuel Naturvidenskab, 5, 34-37.

Rohde, P. D., Krag, K., Loeschcke, V., Overgaard, J., Sørensen, P. & Kristensen, T. N. (2016). A Quantitative Genomic Approach for Analysis of Fitness and Stress Related Traits in a Drosophila melanogaster Model Population. International Journal of Genomics, 2016, 1-11. Article 2157494. https://doi.org/10.1155/2016/2157494

Rohde, P. D., Madsen, L. S., Arvidson, S. M. N., Loeschcke, V., Demontis, D. & Kristensen, T. N. (2016). Testing candidate genes for attention-deficit/hyperactivity disorder in fruit flies using a high throughput assay for complex behavior. Fly, 10(1), 25-34. Article 1158365. https://doi.org/10.1080/19336934.2016.1158365

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

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

Rohde, P. D., Østergaard, S., Kristensen, T. N., Sørensen, P., Loeschcke, V., F C Mackay, T. & Sarup, P. M. (2018). Functional validation of candidate genes detected by genomic feature models. G3: Genes, Genomes, Genetics (Bethesda), 8(5), 1659-1668. https://doi.org/10.1534/g3.118.200082

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

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

Ostersen, T., Christensen, O. F., Madsen, P. & Henryon, M. (2016). Sparse single-step method for genomic evaluation in pigs. Genetics Selection Evolution, 48(1), Article 48. https://doi.org/10.1186/s12711-016-0227-8

Ørsted, M., Rohde, P. D., Hoffmann, A. A., Sørensen, P. & Kristensen, T. N. (2018). Environmental variation partitioned into separate heritable components. Evolution, 72(1), 136-152. https://doi.org/10.1111/evo.13391

Ørsted, M., Hoffmann, A. A., Rohde, P. D., Sørensen, P. & Kristensen, T. N. (2019). Strong impact of thermal environment on the quantitative genetic basis of a key stress tolerance trait. Heredity, 122(3), 315-325. https://doi.org/10.1038/s41437-018-0117-7

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Jette Odgaard Villemoes