Mogens Sandø Lund

Centre Director, Professor

Profile photoMogens Sandø Lund
Head of Center

Department of Molecular Biology and Genetics - Center for Quantitative Genetics and Genomics
Blichers Allé 20,
8830, Tjele, Denmark


Phone: +45 87158024
Mobile: +45 20751222
Fax: +45 87159449

Current affiliation

2012-Head of Centre for Quantitative Genetics and Genomics, Dept. of Molecular Biology and Genetics, Faculty of Science and Technology, Aarhus University

Positions held

2010-2011Head of Department, Dept. of Genetics and Biotechnology, Aarhus University
2009-2010Acting Research Director, Dept. of Genetics and Biotechnology, Aarhus University
2008-2009Head of the research unit ‘Bioinformatics, Genetics and Statistics’, Dept. of Genetics and Biotechnology (GBI), Aarhus University
2001-2008Senior researcher in Department of Animal Breeding and Genetics, DIAS
1999Visiting scientist, Virginia Polyt. Institute and State University, USA
1997Researcher in Department of Animal Breeding and Genetics, DIAS

Academic training and degrees

1993-1997Ph.D. Royal Vetenary and Agricultural University, Denmark.
1994Visiting scolar at Cornell University, Animal Science, Ithaca, USA.
1993Master of Science (Cand. Agro) at the Royal Veterinary and Agricultural University, DK
2006-2009Cutting Edge Genomics for Sustainable Animal Breeding (SABRE). WP leader for subproject in Genomics of mammary function
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Research competences

I currently lead the Centre for Quantitative Genetics and Genomics, which is an internationally highly recognised research group with quantitative genetics and genomics, statistical genetics, population genetics, plant and animal breeding. The centre includes geneticists, biologists, statisticians, and bioinformaticians. We develop and use novel statistical and bioinformatic methods for Genomic selection, GWAS, QTL mapping, integrative genomics, and simulation of population dynamics. We perform research on complex traits primarily on agricultural species: cattle, pigs, mink, poultry, fish, and grasses, but also for human

Research area

My research has focused on developing and applying statistical genetic models to estimate population parameters, effects of single genes, and prediction of total genetic merit using genome wide markers. The developments were largely based on Markov chain Monte Carlo and Restricted Maximum Likelihood based statistics. Contributions include developing statistical methods to identify major genes, finemap genomic regions affecting complex traits, and analyzing traits that are not normally distributed. Currently my main research area is genomic selection, which utilizes genome wide genetic markers to predict genetic merit for complex traits and risk of disease. Here my main contribution has been to establish large genomic projects with industry partners and in collaboration with colleagues and industry develop and implement genome enabled selection. In cattle we were among the very first and in pigs the first in the world to implement this breeding technology of the future. The technology has already revolutionized these breeding schemes and is likely to have a similar impact on most farm animals as well as crop improvement

Invited talks at international conferences, meetings and seminars

201International Conference on the Physiology and Genomics of Mastitis. Oct 31st-Nov 2nd 2011; Tutzing (Munich): Genetics of mastitis susceptibility.
2007EADGENE and SABRE conference 2007: QTL-mapping for mastitis susceptibility
20056. Workshop, Biometriche Aspecte in Populationsgenetik und Genomanalyse: QTL (fine)mapping using variance components models for multi-trait, longitudinal, and non-normal data
20049th QTLMAS workshop, May 2004, Rostock, Germany.


175 publications of which 80 were in international review. H-index: 16. Selected publications

Joint imputation of whole-genome sequence variants and large chromosomal deletions in cattle

Mesbah-Uddin, M., Guldbrandtsen, B., Lund, M. S., Boichard, D. & Sahana, G., 9 Oct 2019, In : Journal of Dairy Science.

Haplotypes responsible for early embryonic lethality detected in Nordic Holsteins

Wu, X., Mesbah-Uddin, M., Guldbrandtsen, B., Lund, M. S. & Sahana, G., 20 Sep 2019, In : Journal of Dairy Science.

Whole genome sequence and de novo assembly revealed genomic architecture of Indian Mithun (Bos frontalis)

Mukherjee, S., Cai, Z., Mukherjee, A., Longkumer, I., Mech, M., Vupru, K., Khate, K., Rajkhowa, C., Mitra, A., Guldbrandtsen, B., Lund, M. S. & Sahana, G., 29 Jul 2019, In : BMC Genomics. 20, 1, p. 617

Weighting sequence variants based on their annotation increases the power of genome-wide association studies in dairy cattle

Cai, Z., Guldbrandtsen, B., Lund, M. S. & Sahana, G., 10 May 2019, In : Genetics Selection Evolution. 51, 1, p. 20 12 p., 20.

Reliability of genomic prediction for milk fatty acid composition by using a multi-population reference and incorporating GWAS results

Gebreyesus, G., Bovenhuis, H., Lund, M. S., Poulsen, N. A., Sun, D. & Buitenhuis, B., 27 Apr 2019, In : Genetics Selection Evolution. 51, 1, 14 p., 16.

Selection for temperament has no negative consequences on important production traits in farmed mink1

Thirstrup, J. P., Villumsen, T. M., Malmkvist, J. & Lund, M. S., Apr 2019, In : Journal of Animal Science. 97, 5, p. 1987-1995 9 p.

Prioritizing candidate genes for fertility in dairy cows using gene-based analysis, functional annotation and differential gene expression

Cai, Z., Guldbrandtsen, B., Lund, M. S. & Sahana, G., 29 Mar 2019, In : BMC Genomics. 20, 9 p., 255.

Introgression of Chinese haplotypes contributed to the improvement of Danish Duroc pigs

Chen, M., Su, G., Fu, J., Wang, A., Liu, J. F., Lund, M. S. & Guldbrandtsen, B., Feb 2019, In : Evolutionary Applications. 12, 2, p. 292-300 9 p.

Dissecting closely linked association signals in combination with the mammalian phenotype database can identify candidate genes in dairy cattle

Cai, Z., Guldbrandtsen, B., Lund, M. S. & Sahana, G., 29 Jan 2019, In : BMC Genetics. 20, 12 p., 15.

Improving genomic predictions by correction of genotypes from genotyping by sequencing in livestock populations

Wang, X., Lund, M. S., Ma, P., Janss, L., Kadarmideen, H. N. & Su, G., 24 Jan 2019, In : Journal of Animal Science and Biotechnology. 10, 8.

Improvement of genomic prediction by integrating additional single nucleotide polymorphisms selected from imputed whole genome sequencing data

Liu, A., Lund, M. S., Boichard, D. A., Karaman, E., Fritz, S., Aamand, G. P., Nielsen, U. S., Wang, Y. & Su, G., 2019, In : Heredity.

Quantifying the contribution of sequence variants with regulatory and evolutionary significance to 34 bovine complex traits

Xiang, R., Van Den Berg, I., MacLeod, I. M., Hayes, B. J., Prowse-Wilkins, C. P., Wang, M., Bolormaa, S., Liu, Z., Rochfort, S. J., Reich, C. M., Mason, B. A., Vander Jagt, C. J., Daetwyler, H. D., Lund, M. S., Chamberlain, A. J. & Goddard, M. E., 2019, In : Proceedings of the National Academy of Sciences of the United States of America. 116, 39, p. 19398-19408 11 p.

Use of a Bayesian model including QTL markers increases prediction reliability when test animals are distant from the reference population

Ma, P., Lund, M. S., Aamand, G. P. & Su, G., 2019, In : Journal of Dairy Science. 102, 8, p. 7237-7247 11 p.

Impact of rare and low-frequency sequence variants on reliability of genomic prediction in dairy cattle

Zhang, Q., Sahana, G., Su, G., Guldbrandtsen, B., Lund, M. S. & Calus, M. P. L., 20 Nov 2018, In : Genetics Selection Evolution. 50, 1, 10 p., 62.

SNP markers associated with body size and pelt length in American mink (Neovison vison)

Cai, Z., Villumsen, T. M., Asp, T., Guldbrandtsen, B., Sahana, G. & Lund, M. S., 12 Nov 2018, In : BMC Genetics. 19, 1, 10 p., 103.

Genomic Prediction Using Multi-trait Weighted GBLUP Accounting for Heterogeneous Variances and Covariances Across the Genome

Karaman, E., Lund, M. S., Anche, M. T., Janss, L. & Su, G., 6 Nov 2018, In : G3: Genes, Genomes, Genetics (Bethesda). 8, 11, p. 3549-3558 10 p.

Prioritizing candidate genes post-GWAS using multiple sources of data for mastitis resistance in dairy cattle

Cai, Z., Guldbrandtsen, B., Lund, M. S. & Sahana, G., 6 Sep 2018, In : BMC Genomics. 19, 1, 11 p., 656.

Suitability of existing commercial single nucleotide polymorphism chips for genomic studies in Bos indicus cattle breeds and their Bos taurus crosses

Nayee, N., Sahana, G., Gajjar, S., Sudhakar, A., Trivedi, K., Lund, M. S. & Guldbrandtsen, B., 16 Aug 2018, In : Journal of Animal Breeding and Genetics (Online). 135, 6, p. 432-441 10 p.

Human-Mediated Introgression of Haplotypes in a Modern Dairy Cattle Breed

Zhang, Q., Calus, M., Bosse, M., Sahana, G., Lund, M. S. & Guldbrandtsen, B., 1 Aug 2018, In : Genetics (Online). 209, 4, p. 1305-1317 13 p.

A system-based analysis of the genetic determinism of udder conformation and health phenotypes across three French dairy cattle breeds

Marete, A. G., Lund, M. S., Boichard, D. A. & Ramayo-Caldas, Y., 2 Jul 2018, In : PLOS ONE. 13, 7, 17 p., e0199931.


1 patent and 4 patent applications

Major research grants

2013-2017Center for Genomic Selection in Animals and Plants (GenSAP). Centerleader, DKR 30.000.000 form the Strategic Research Council. Total budget is 68.000.000
2009-2013Genomic selection cattle (Genomisk Selektion – fra funktion til effektiv udnyttelse i avlsarbejdet). The project started under the Innovation Law with me as PI. Total budget: DKR 64.000.000
2008-2010Genomic selection pigs (Svineavl – Genomisk selection)
2004-2008DNA-based selection (DNA-baseret selektion til forbedring af sygdomsresistens, frugtbarhed, kalveoverlevelse og production i dansk malkekvæg). Project funded under the Innovation law. Budget DKR 42.000.000
2002-2005Mastitis resistance – new breeding tools for improving mastits resistance in European dairy cattle

Supervision and Teaching

Completed: 11 PhD students, 2 post docs
Currently supervising: 6 PhDs

Research Management

My experience in scientific management falls in three categories. First I have extensive experience in leading large national, Nordic, and European research projects. Second, I was head of research unit in the research group ‘Bioinformatics and Statistical Genetics’ and later ‘Bioinformatics, Genetics and statistics’ between 2002 and 2009. In this period we consolidated the group as one of the world leading groups in animal breeding and genetics, and grew from approximately 10 to 30 scientific personnel. Third, I have been Head of Department for Genetics and Biotechnology. The institute constituted of 7 research groups and approximately 150 personnel. Currently, I head the Centre for Quantitative Genetics and Genomics at Aarhus University with approx 50 scientific personnel.