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, Artikel 26.
https://doi.org/10.1186/s12863-017-0491-9
Gebreyesus, G., Lund, M. S., Buitenhuis, A. J., Bovenhuis, H.
, Poulsen, N. A. & Janss, L. (2017).
Modeling heterogeneous (co)variances from adjacent-SNP groups improves genomic prediction for milk protein composition traits.
Genetics Selection Evolution,
49(1), Artikel 89.
https://doi.org/10.1186/s12711-017-0364-8
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, Artikel 44.
https://doi.org/10.1186/s12711-017-0319-0
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
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. Artikel 604.
https://doi.org/10.1186/s12864-017-4004-z
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
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), Artikel 14564.
https://doi.org/10.1038/s41598-017-15169-z
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.
Gebreyesus, G., Lund, M. S., Janss, L., Bovenhuis, H.
& Buitenhuis, A. J. (2016).
Fine mapping and genomic prediction for detailed milk protein composition. Poster session præsenteret på 5th International Conference on Quantitative Genetics , Madison, USA.
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), Artikel 60.
https://doi.org/10.1186/s12711-016-0238-5
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
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
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
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), Artikel 35.
https://doi.org/10.1186/s12711-016-0215-z
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. Artikel 2157494.
https://doi.org/10.1155/2016/2157494
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., 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. Artikel 1158365.
https://doi.org/10.1080/19336934.2016.1158365
Michot, P., Chahory, S., Marete, A. G., Grohs, C., Dagios, D., Donzel, E., Aboukadiri, A., Deloche, M.-C., Allais-Bonnet, A., Chambrial, M., Barbey, S., Genestout, L., Boussaha, M., Danchin-Burge, C., Fritz, S., Boichard, D. & Capitan, A. (2016).
A reverse genetic approach identifies an ancestral frameshift mutation in RP1 causing recessive progressive retinal degeneration in European cattle breeds.
Genetics Selection Evolution,
48.
https://doi.org/10.1186/s12711-016-0232-y
Lund, M. S., van den Berg, I., Ma, P., Brøndum, R. F.
& Su, G. (2016).
Review: How to improve genomic predictions in small dairy cattle populations.
Animal,
10(6), 1042-1049.
https://doi.org/10.1017/S1751731115003031
Li, X.
, Lund, M. S., Zhang, Q., Costa, C. N., Ducrocq, V.
& Su, G. (2016).
Short communication: Improving accuracy of predicting breeding values in Brazilian Holstein population by adding data from Nordic and French Holstein populations.
Journal of Dairy Science,
99(6), 4574-4579. Artikel 74482.
https://doi.org/10.3168/jds.2015-10609
Gebreyesus, G., Lund, M. S., Janss, L., Poulsen, N. A., Larsen, L. B., Bovenhuis, H.
& Buitenhuis, A. J. (2016).
Short communication: Multi-trait estimation of genetic parameters for milk protein composition in the Danish Holstein.
Journal of Dairy Science,
99(4), 2863-2866.
https://doi.org/10.3168/jds.2015-10501
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
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
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
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. I
Final Program, Abstract & Exhibit Guide (s. 290-290)
https://pag.confex.com/pag/xxiii/webprogram/Paper15700.html
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.
B M C 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.
B M C Genomics,
16(542), 1-16.
https://doi.org/10.1186/s12864-015-1715-x
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
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
Lopes, M. S., Bastiaansen, J. W. M.
, Janss, L., Knol, E. F. & Bovenhuis, H. (2015).
Estimation of Additive, Dominance, and Imprinting Genetic Variance Using Genomic Data.
G3: Genes, Genomes, Genetics (Bethesda),
5(12), 2629-2637.
https://doi.org/10.1534/g3.115.019513
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
Legarra, A.
, Christensen, O. F., Vitezica, Z. G., Aguilar, I. & Misztal, I. (2015).
Ancestral Relationships Using Metafounders: Finite Ancestral Populations and Across Population Relationships.
Genetics (Print),
200(2), 455-468.
https://doi.org/10.1534/genetics.115.177014