Mogens Sandø Lund

Centerleder, Professor

Profile photoMogens Sandø Lund

Institut for Molekylærbiologi og Genetik - Center for Kvantitativ Genetik og Genomforskning

Blichers Allé 20, K21, 3018
8830, Tjele


Telefon: 87158024
Mobil: 20751222
Fax: 87154994

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

2011International 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

Use of biological priors enhances understanding of genetic architecture and genomic prediction of complex traits within and between dairy cattle breeds

Fang, L., Sahana, G., Ma, P., Su, G., Yu, Y., Zhang, S., Lund, M. S. & Sørensen, P. 10 aug. 2017 I : B M C Genomics. 18, s. 604 12 s.

Improving genetic evaluation using a multitrait single-step genomic model for ability to resume cycling after calving, measured by activity tags in Holstein cows

Ismael, A., Løvendahl, P., Fogh, A., Lund, M. S. & Su, G. 2 aug. 2017 I : Journal of Dairy Science.

Contribution of rare and low-frequency whole-genome sequence variants to complex traits variation in dairy cattle

Zhang, Q., Calus, M. P. L., Guldbrandtsen, B., Lund, M. S. & Sahana, G. 1 aug. 2017 I : Genetics Selection Evolution. 49, 1, 11 s., 60

Variance components and correlations of female fertility traits in Chinese Holstein population

Liu, A., Lund, M. S., Wang, Y., Guo, G., Dong, G., Madsen, P. & Su, G. 1 jul. 2017 I : Journal of Animal Science and Biotechnology. 8, 1, 56

Whole blood optimization and genetic association of ex vivo TNF-alpha responsiveness to killed E-coli in Danish Holstein cows

Khatun, M., Jorgensen, H. B. H., Ehsani, A., Lund, M. S., Sahana, G., Sorensen, P. & Rontved, C. M. jul. 2017 I : Livestock Science. 201, s. 92-98 7 s.

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

Fang, L., Sahana, G., Ma, P., Su, G., Yu, Y., Zhang, S., Lund, M. S. & Sørensen, P. 12 maj 2017 I : Genetics Selection Evolution. 49, 18 s., 44

Integrating Sequence-based GWAS and RNA-Seq Provides Novel Insights into the Genetic Basis of Mastitis and Milk Production in Dairy Cattle

Fang, L., Sahana, G., Su, G., Yu, Y., Zhang, S., Lund, M. S. & Sørensen, P. 30 mar. 2017 I : Scientific Reports. 7, 16 s., 45560

The patterns of genomic variances and covariances across genome for milk production traits between Chinese and Nordic Holstein populations

Li, X., Lund, M. S., Janss, L., Wang, C., Ding, X., Zhang, Q. & Su, G. 15 mar. 2017 I : BMC Genetics. 18, 12 s., 26

Genetic parameters for fur quality graded on live animals and dried pelts of American mink (Neovison vison)

Thirstrup, J. P., Jensen, J. & Lund, M. S. 10 mar. 2017 I : Journal of Animal Breeding and Genetics (Online).

Assessment of the genomic prediction accuracy for feed efficiency traits in meat-type chickens

Liu, T., Luo, C., Wang, J., Ma, J., Shu, D., Lund, M. S., Su, G. & Qu, H. 9 mar. 2017 I : P L o S One. 12, 3, 11 s., e0173620

Association analysis for young stock survival index with imputed whole-genome sequence variants in Nordic Holstein cattle

Wu, X., Guldbrandtsen, B., Nielsen, U. S., Lund, M. S. & Sahana, G. 2017 I : Journal of Dairy Science. 100, 8, s. 6356-6370 15 s.

Genome-wide Association Studies for Female Fertility Traits in Chinese and Nordic Holsteins

Liu, A., Wang, Y., Sahana, G., Zhang, Q., Liu, L., Lund, M. S. & Su, G. 2017 I : Scientific Reports. 7, 1, 12 s., 8487

Prediction and validation of residual feed intake and dry matter intake in Danish lactating dairy cows using mid-infrared spectroscopy of milk

Shetty, N., Løvendahl, P., Lund, M. S. & Buitenhuis, A. J. 16 nov. 2016 I : Journal of Dairy Science. 100, 1, s. 253-264 12 s.

Sequence variants selected from a multi-breed GWAS can improve the reliability of genomic predictions in dairy cattle

Van den Berg, I., Boichard, D. & Lund, M. S. 4 nov. 2016 I : Genetics Selection Evolution. 48, 18 s., 83

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

van den Berg, I., Boichard, D. & Lund, M. S. 1 nov. 2016 I : Journal of Dairy Science. 99, 11, s. 8932-8945 14 s.

Genome-wide association study for longevity with whole-genome sequencing in 3 cattle breeds

Zhang, Q., Guldbrandtsen, B., Thomasen, J. R., Lund, M. S. & Sahana, G. sep. 2016 I : Journal of Dairy Science. 99, 9, s. 7289-7298 10 s.

Genome-wide association analyses using a Bayesian approach for litter size and piglet mortality in Danish Landrace and Yorkshire pigs

Guo, X., Su, G., Christensen, O. F., Janss, L. & Lund, M. S. 18 jun. 2016 I : BMC Genomics. 17, 12 s., 468

Short communication: Improving accuracy of predicting breeding values in Brazilian Holstein population by adding data from Nordic and French Holstein populations

Li, X., Lund, M. S., Zhang, Q., Costa, C. N., Ducrocq, V. & Su, G. 1 jun. 2016 I : Journal of Dairy Science. 99, 6, s. 4574-4579 6 s., 74482

Association analysis for feet and legs disorders with whole-genome sequence variants in 3 dairy cattle breeds

Wu, X., Guldbrandtsen, B., Lund, M. S. & Sahana, G. jun. 2016 I : Journal of Dairy Science. 99, 9, s. 7221–7231 11 s.

Review: How to improve genomic predictions in small dairy cattle populations

Lund, M. S., van den Berg, I., Ma, P., Brøndum, R. F. & Su, G. jun. 2016 I : Animal. 10, 6, s. 1042-1049 8 s.


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.