Center for Kvantitativ Genetik og Genomforskning

Aarhus Universitets segl

Publikationer

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Morgante, F., Sorensen, D. A., Sørensen, P., Maltecca, C. & Mackay, T. F. C. (2014). Genetic Analysis of Micro-environmental Plasticity in Drosophila melanogaster. Afhandling præsenteret på 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014/activity/PabaGIO0N3
Morgante, F., Sorensen, D. A., Sørensen, P., Maltecca, C. & Mackay, T. F. C. (2014). Genetic Analysis of Micro-environmental Plasticity in Drosophila melanogaster. Poster-session præsenteret på 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014/activity/PabaGIO0N3
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
Milkevych, V., Madsen, P., Gao, H. & Jensen, J. (2021). The relative effect of genomic information on efficiency of Bayesian analysis of the mixed linear model with unknown variance. Journal of Animal Breeding and Genetics (Online), 138(1), 14-22. https://doi.org/10.1111/jbg.12497, https://doi.org/10.1111/jbg.12497
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
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
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.
Mesbah-Uddin, M., Hoze, C., Michot, P., Barbat, A., Lefebvre, R., Boussaha, M., Sahana, G., Fritz, S., Boichard, D. & Capitan, A. (2019). A missense mutation (p.Tyr452Cys) in the CAD gene compromises reproductive success in French Normande cattle. Journal of Dairy Science, 102(7), 6340-6356. https://doi.org/10.3168/jds.2018-16100
Mesbah-Uddin, M., Guldbrandtsen, B., Lund, M. S., Boichard, D. & Sahana, G. (2019). Joint imputation of whole-genome sequence variants and large chromosomal deletions in cattle. Journal of Dairy Science, 102(12), 11193-11206. https://doi.org/10.3168/jds.2019-16946
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.
Meier, K., Lund, M. S. & Sørensen, A. C. (2015). A simulation study of a future infrastructure supporting genomic selection in mink. I Proceedings of NJF fur animal seminar 485 (s. 221-230)
Meier, K., Thirstrup, J., Lund, M. S. & Sørensen, A. C. (2015). Stochastic simulation of breeding plans in mink: evaluation of genomic selection. I Book of Abstract of the 66th Annual Meeting of the European Federation of Animal Science (Bind 21, s. 390-390). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-816-2
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.
Marete, A. G., Lund, M. S. & Boichard, D. A. (2016). Dissecting dairy complex traits beyond additive effects using genetic markers. Abstract fra 19 thSéminaire des thésards du Département de Génétique Animale, Toulouse, Frankrig.
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
Marete, A. G., Janss, L., Guldbrandtsen, B., Hoze, C., Sahana, G., Boichard, D. A. & Lund, M. S. (2018). Exploring non-additive variance using genome-wide dense SNP in four French and Nordic dairy cattle breeds. I Proceedings of the World Congress on Genetics Applied to Livestock Production Artikel 70
Marete, A. G., Lund, M. S., Boichard, D. A. & Ramayo-Caldas, Y. (2018). A system-based analysis of the genetic determinism of udder conformation and health phenotypes across three French dairy cattle breeds. PLoS One, 13(7), Artikel e0199931. https://doi.org/10.1371/journal.pone.0199931
Marete, A. G., Guldbrandtsen, B., Lund, M. S., Fritz, S., Sahana, G. & Boichard, D. (2018). A Meta-Analysis Including Pre-selected Sequence Variants Associated With Seven Traits in Three French Dairy Cattle Populations. Frontiers in Genetics, 9, Artikel 522. https://doi.org/10.3389/fgene.2018.00522
Madsen, M. D., Madsen, P., Nielsen, B., Kristensen, T. N., Jensen, J. & Shirali, M. (2018). Macro-environmental sensitivity for growth rate in Danish Duroc pigs is under genetic control. Journal of Animal Science, 96(12), 4967-4977. https://doi.org/10.1093/jas/sky376
Madsen, M. D., Villumsen, T. M., Hansen, B. K., Møller, S. H., Jensen, J. & Shirali, M. (2020). Combined analysis of group recorded feed intake and individually recorded body weight and litter size in mink. Animal : an international journal of animal bioscience, 14(9), 1793-1801. https://doi.org/10.1017/S1751731120000762
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
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
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
Lopes, M. S., Bastiaansen, J. W. M., Janss, L., Bovenhuis, H. & Knol, E. F. (2014). Using SNP markers to estimate additive, dominance and imprinting genetic variance. Afhandling præsenteret på 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014#/activity/l8lt5Q5qu9
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
Liu, H., Sørensen, A. C. & Berg, P. (2014). Optimum contribution selection combined with weighting rare favourable alleles increases long-term genetic gain. Afhandling præsenteret på 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014/activity/ppfvJcCuPy
Liu, H., Henryon, M. & Sørensen, A. C. (2015). Mating strategies using genomic information reduce rates of inbreeding. I Abstracts of the 66th Annual Meeting of the European Federation of Animal Science (Bind 21, s. 393-393). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-816-2
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
Liu, A., Lund, M. S., Wang, Y., Guo, G., Dong, G., Madsen, P. & Su, G. (2017). Variance components and correlations of female fertility traits in Chinese Holstein population. Journal of Animal Science and Biotechnology, 8(1), Artikel 56. https://doi.org/10.1186/s40104-017-0189-x
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
Liu, A., Lund, M. S., Boichard, D., Fritz, S., Karaman, E., Wang, Y. & Su, G. (2018). Using additional single nucleotide polymorphisms selected from whole genome sequence data for genomic prediction in Danish Jersey. I Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018 Artikel 586 http://www.wcgalp.org/system/files/proceedings/2018/using-additional-single-nucleotide-polymorphisms-selected-whole-genome-sequence-data-genomic.pdf
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
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.
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
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
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
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
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
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
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
Jardim, J. G., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2018). Association analysis for udder index and milking speed with imputed whole-genome sequence variants in Nordic Holstein cattle. Journal of Dairy Science, 101(3), 2199-2212. https://doi.org/10.3168/jds.2017-12982
Janss, L. (2014). Disentangling Pleiotropy along the Genome using Sparse Latent Variable Models. Afhandling præsenteret på 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014#/activity/2NusKyePpB
Janss, L. (2015). Experiences in Bioinformatics. Abstract fra ADSA-ASAS Joint Annual Meeting 2015, Orlando, Florida, USA. http://www.jtmtg.org/JAM/2015/index.asp
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.
Henryon, M., Berg, P. & Sørensen, A. C. (2014). Animal-breeding schemes using genomic information need breeding plans designed to maximise long-term genetic gains. Livestock Science, 166, 38-47. https://doi.org/10.1016/j.livsci.2014.06.016
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
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
Gianola, D., de los Campos, G., Toro, M. A., Naya, H., Schön, C.-C. & Sorensen, D. (2015). Do Molecular Markers Inform About Pleiotropy? Genetics, 201(1), 23-29. https://doi.org/10.1534/genetics.115.179978
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
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.

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artikler af eksterne partnere

2018

Tidsskriftartikler

Morgante, F., Huang, W., Maltecca, C., Mackay. T.F.C. 2018. Effect of genetic architecture on the prediction accuracy of quantitative traits in samples of unrelated individuals. Heredity 120: 500-514

Konferencebidrag

van den Berg, I., Hayes, B.J., Goddard, M.E. 2018. Using expression data to detect small QTL in dairy cattle. Proceedings of the 11th WCGALP, Auckland, New Zealand 2018

2017

Tidsskriftartikler

van den Berg, I., Bowman, P.J., MacLeod, I.M., Hayes, B.J., Wang, T., Bolormaa, S., Goddard, M.E. 2017. Multi-breed genomic prediction using Bayes R with sequence data and dropping variants with a small effect. Genetic Selection Evolution 49:70.

Konferencebidrag

van den Berg, I., MacLeod, I.M., Bowman, P.J., Wang, T., Goddard, M.E. 2017. Strategies to use whole genome sequence data for genomic prediction in dairy cattle. 22nd AAABG conference, Townsville, Australia.

van den Berg, I., Meuwissen, T.H.E., Macleod, I.M., Goddard, M.E. 2017. Predicting the effect of reference population on the accuracy of across and multi breed genomic prediction. 5th Annual GenSAP Meeting, Billund, Denmark. 15 – 16 November.

van den Berg, I., Hayes, B.J., Goddard, M.E. 2017. Using expression data to detect small QTL in dairy cattle. 5th Annual GenSAP Meeting, Billund, Denmark. 15 – 16 November.

Revideret 19.03.2025
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Jette Odgaard Villemoes