Publications

Peer-reviewed publications at QGG

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Østergård, H. & Berg, P. (1990). Cattle MHC (BOLA) class I variation and female fertility. Animal Genetics.

Østergaard, S., Ettema, J. F., Hjortø, L., Pedersen, J. & Kargo, M. (2014). Multiple Regression and Mediator Variables can be used to Avoid Double Counting when Economic Values are Derived using Stochastic Herd Simulation. Paper presented at 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014/activity/C3Ek3J3FXl

Østergaard, S., Ettema, J. F., Hjortø, L., Pedersen, J., Lassen, J. & Kargo, M. (2016). Avoiding double counting when deriving economic values through stochastic dairy herd simulation. Livestock Science, 187, 114-124. https://doi.org/10.1016/j.livsci.2016.03.004

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

Ødegård, J., Jensen, J., Klemetsdal, G., Madsen, P. & Heringstad, B. (2002). Genetic analyses of somatic cell scores in Norwegian cattle with a test-day sire model allowing for a time trend in genetic (co)variance. In Proc. 7th WCGALP, 31: CD-rom Communication No 13-28 (pp. 715-718). Editions Quae.

Ødegård, J., Jensen, J., Klemtsdal, G., Madsen, P. & Heringstad, B. (2003). Genetic Analysis of Somatic Cell Score in Norwegian Cattle using Random Regression Test-day Models. Journal of Dairy Science, 86, 4103-4114. http://jds.fass.org/cgi/content/abstract/86/12/4103?maxtoshow=&HITS=10&hits=10&RESULTFORMAT=&searchid=1&FIRSTINDEX=0&sortspec=relevance&volume=86&firstpage=4103&resourcetype=HWCIT

Ødegård, J., Jensen, J., Madsen, P., Gianola, D., Sorensen, D., Klementsdal, G. & Heringstad, B. (2003). A Bayesian mixture model for detection of mastitis in dairy cattle by simulated test-day somatic cell score. In Book of Abstracts (pp. 79)

Ødegård, J., Jensen, J., Madsen, P., Gianola, D., Klemetsdal, G. & Heringstad, B. (2003). Detection of Mastitis in Dairy Cattle by use of Mixture Models for Repeated Somatic Cell Scores: A Bayesian Approach via Gibbs Sampling. Journal of Dairy Science, 86, 3694-3703. http://jds.fass.org/cgi/content/abstract/86/11/3694?maxtoshow=&HITS=10&hits=10&RESULTFORMAT=&andorexactfulltext=and&searchid=1&FIRSTINDEX=0&sortspec=relevance&volume=86&firstpage=3694&resourcetype=HWCIT

Ødegård, J., Klemetsdal, G., Jensen, J. & Madsen, P. (2004). Mixture models - use and applications within the field of animal breeding. In Book of Abstracts (pp. 89)

Ødegård, J., Madsen, P. & Klementsdal, G. (2006). Mixture models in animal breeding. In Book of abstracts: CD communication 26-11, 7 pp (pp. 242). WCGALP. http://www.wcgalp8.org.br/wcgalp8/articles/paper/26_783-1536.pdf

Ødegård, J., Yazdi, M. H., Gitterle, T., Madsen, P. & Rye, M. (2010). A cure Survial Model for Genetic analysis of Taura Syndrome Virus Resistance in Pacific White Shrimp (Penaeus vannamei). In Abstracts (pp. 272). Gesellscahft für Tierzuchtwissenschaften e. V..

Ødegård, J., Yazdi, M. H., Gitterle, T., Madsen, P. & Rye, M. (2010). A cure Survial Model for Genetic analysis of Taura Syndrome Virus Resistance in Pacific White Shrimp (Penaeus vannamei). In CD communication - Proceedings, paper 403 Gesellschaft für Tierzuchtwissenschaften e. V..

Ødegård, J., Yazdi, M. H., Gitterle, T., Madsen, P. & Rye, M. (2010). A cure Survial Model for Genetic analysis of Taura Syndrome Virus Resistance in Pacific White Shrimp (Penaeus vannamei). Poster session presented at World Congress on Genetics Applied to Livestock Production, WCGALP, Leipzig, Germany.

Ødegård, J., Meuwissen, T. HE., Heringstad, B. & Madsen, P. (2010). A simple algorithm to estimate genetic variance in an animal threshold model using Bayesian inference Genetics Selection Evolution 2010, 42:29. Genetics Selection Evolution, 42(29). https://doi.org/10.1186/1297-9686-42-29

Ødegård, J., Madsen, P., Labouriau, R. S., Gjerde, B. & Meuwissen, T. H. E. (2011). A sequential threshold cure model for genetic analysis of time-to-event data. Journal of Animal Science, 89, 943-950. https://doi.org/10.2527/jas.2009-2701

Ødegård, J., Gitterle, T., Madsen, P., Meuwissen, T. HE., Yazdi, M. H., Gjerde, B., Pulgarin, C. & Rye, M. (2011). Quantitative genetics of Taura syndrome resistance in Pacific (Penaeus vannamei): A cure model approach. Genetics Selection Evolution, 43(14).

Ødegård, J., Gitterle, T., Madsen, P., Meuwissen, T. H. E., Yazdi, M. H., Gjerde, B., Pulgarin, C. & Rye, M. (2011). A cure survival model for Taura syndrom resistance in Pacific white shrimp (P. vannamei). Poster session presented at 62nd Annual Meeting of the European Federation of Animal Science, EAAP, Stavanger, Norway.

Ødegård, J., Gitterle, T., Madsen, P., Meuwissen, T. H. E., Yazdi, M. H., Gjerde, B., Pulgarin, C. & Rye, M. (2011). A cure survival model for Taura syndrom resistance in Pacific white shrimp (P. vannamei). In Book of Abstracts of the 62nd Annual Meeting of the European Federation of Animal Science (Vol. 17, pp. 168-168). Wageningen Academic Publishers.

Ødegaard, J., Madsen, P., Gianola, D., Klemetsdal, G., Jensen, J., Heringstad, B. & Korsgaard, I. R. (2005). A Bayesian Threshold-Normal Mixture Model for Analysis of a Continuous Mastitis-Related Trait. Journal of Dairy Science, 88, 2652-2659. http://jds.fass.org/cgi/content/abstract/88/7/2652?maxtoshow=&HITS=10&hits=10&RESULTFORMAT=&searchid=1&FIRSTINDEX=0&sortspec=relevance&volume=88&firstpage=2652&resourcetype=HWCIT

Ødegaard, J., Madsen, P., Gianola, D., Klemetsdal, G., Jensen, J., Heringstad, B. & Korsgaard, I. R. (2005). Use of SCC in genetic selection for reduced incidence of mastitis: A mixture model approach. In Proc. 4th International Masistis Conference (pp. 564-569). Wageningen Academic Publishers.

van den Berg, I., Fritz, S., Djari, A., Rodriguez, S. C., Esquerre, D., Klopp, C., Rochar, D. & Lund, M. S. (2013). Concordance analysis: from QTL to candidate causative mutations. In Book of Abstracts of the 64th Annual Meeting of the European Association for Animal Production (2013 ed., Vol. 19, pp. 234). Wageningen Academic Publishers.

van den Berg, I., Rodrigue<, S., Fritz, S., Boussaha, M., Lund, M. S. & Boichard, D. (2014). Concordance analysis for QTL detection in dairy cattle: a case study of leg morphology. Genetics Selection Evolution, 46(31). https://doi.org/10.1186/1297-9686-46-31

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., Guldbrandtsen, B., Hozé, C., Brøndum, R. F., Boichard, D. & Lund, M. S. (2014). Across breed QTL detection and genomic prediction in French and Danish Diary Cattle breeds. EAAP Book of Abstracts, 20, 281-281. http://www.wageningenacademic.com/eaap2014

van den Berg, I., Boichard, D. & Lund, M. S. (2015). Prediction of causative genomic relationships using sequence data of five French and Danish dairy cattle breeds. Poster session presented at Plant & Animal Genome XXIII, San Diego, CA, United States.

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. EAAP Book of Abstracts 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

van Vliet, S., Lassen, J. & Løvendahl, P. (2014). Genetic variation and consistency among feed efficiency traits in Holstein and Jersey Cows. EAAP Book of Abstracts, 20, 192-192. http://www.wageningenacademic.com/eaap2014

sommernes, H. & Sørensen, P. (2007). Quadrigeminal pseudocysts secondary to obstructive hydrocefalus may be treated by cerebral fluid diversion. Poster session presented at 4^th International Hydrocephalus Workshop. 2007, Rhodos.

de los Campos, G., Vazquez, A. I., Klementidis, Y. & Sorensen, D. (2012). Whole-Genome Regression and Prediction of Human Complex Traits using Data from Related and Unrelated Individuals. In Programme & Book of Abstracts, ICQG2012 (pp. 40-40).

de los Campos, G., Vazquez, A. I., Fernando, R., Klementidis, Y. C. & Sorensen, D. (2013). Prediction of Complex Human Traits Using the Genomic Best Linear Unbiased Predictor. P L o S Genetics, 9(7), 1-15. [e1003608]. https://doi.org/10.1371/journal.pgen.1003608

de los Campos, G. & Sorensen, D. (2013). A Commentary on Pitfalls of Predicting Complex Traits From SNP's. Nature Reviews. Genetics, 14, [894]. https://doi.org/10.1038/nrg3457-c1

de los Campos, G. & Sorensen, D. (2014). On the genomic analysis of data from structured populations. Journal of Animal Breeding and Genetics, 131(3), 163-164. https://doi.org/10.1111/jbg.12091

de los Campos, G., Sorensen, D. & Gianola, D. (2015). Genomic Heritability: What Is It? P L o S Genetics, 11(5), 1-21. https://doi.org/10.1371/journal.pgen.1005048

de los Campos, G., Sorensen, D. & Gianola, D. (2014). What is it?. Paper presented at 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada.

de los Campos, G., Sorensen, D. A. & Toro, M. A. (2019). Imperfect linkage disequilibrium generates phantom epistasis (& perils of big data). G3: Genes, Genomes, Genetics, 9(5), 1429-1436. https://doi.org/10.1534/g3.119.400101

de Koning, D-J., Jaffrézic, F., Lund, M. S., Watson, M., Channing, C., Hulsegge, I., Pool, M., Buitenhuis, B., Hedegaard, J., Hornshøj, H., Jiang, L., Sørensen, P., Marot, G., Delmas, C., Lê Cao, K-A., SanChristobal, M., Baron, M. D., Malinverni, R., Stella, A. ... Janss, L. (2007). The EADGENE Microarray Data Analysis Workshop. Genetics Selection Evolution, (39), 621-631. https://doi.org/10.1051/gse:2007028

de Haas, E. N., Nielsen, B. L., Buitenhuis, A. J. & Rodenburg, T. B. (2010). Selection on feather pecking affects response to novelty and foraging behaviour in laying hens. Applied Animal Behaviour Science, 124(3-4), 90-96. https://doi.org/10.1016/j.applanim.2010.02.009

de Haas, Y., Lassen, J., Pickering, N., McEwan, J., Oddy, H., Wall, E., Gengler, N., Dehareng, F., Løvendahl, P. & Rowe, S. (2014). The road to genetic selection for methane emission from ruminants: A global approach. In Main Program: IDF/ISO Analytical Week and ICAR/Interbull Conference (pp. 55-55) http://www.icar2014.de

de Haas, Y., Pryce, J. E., Calus, M. P. L., Wall, E., Berry, D. P., Løvendahl, P., Krattenmacher, N., Miglior, F., Weigel, K., Spurlock, D., Macdonald, K. A., Hulsegge, B. & Veerkamp, R. F. (2015). Genomic prediction of dry matter intake in dairy cattle from an international data set consisting of research herds in Europe, North America, and Australasia. Journal of Dairy Science, 98(9), 6522-6534. https://doi.org/10.3168/jds.2014-9257

de Haas, Y. & Lassen, J. (2015). METHAGENE - towards large-scale methane measuremtns on individual ruminants for genetic evaluation. In Abstracts of the 66th Annual Meeting of the European Federation of Animal Science (Vol. 21, pp. 90-90). Wageningen Academic Publishers. EAAP Book of Abstracts https://doi.org/10.3920/978-90-8686-816-2

de Haas, Y., Pryce, J. E., Wall, E., McParland, S., Difford, G. & Lassen, J. (2016). Genetic and genomic analyses of enteric methane emissions of dairy cattle. In Book of Abstracts of the 67th Annual Meeting of the European Association for Animal Production Wageningen Academic Publishers. Book of Abstracts of the Annual EAAP Meeting Vol. 22 https://doi.org/10.3920/978-90-8686-830-8

de Haas, Y., Pszczola, M., Soyeurt, H., Wall, E. & Lassen, J. (2017). Invited review: Phenotypes to genetically reduce greenhouse gas emissions in dairying. Journal of Dairy Science, 100(2), 855-870. https://doi.org/10.3168/jds.2016-11246

de Haas, Y., Pryce, J. E., Wall, E., McParland, S., Manzanilla-Pech, C., Difford, G. & Lassen, J. (2016). Genomic selection for methane emission. Journal of Animal Science, 94(supplement 5), 197-198. [0407]. https://doi.org/10.2527/jam2016-0407

Zwolinska-Bartczak, I., Munksgaard, L. & Løvendahl, P. (2004). Genetic variablity of behavioural traits associated with novel food in Holstein dairy cattle. In Proceedings of the XXI Genetic Days: CD communication GH15 <Forlag uden navn>.

Zumbach, B., Madsen, P. & Holm, B. (2009). Approaches to increase piglet survical through breeding. In M. O. Fog (Ed.), Husdyrforsøgsmøtet (pp. 87-90)

Zumbach, B., Madsen, P. & Holm, B. (2009). Sow productivity and piglet survival in Norsvin Landrace. EAAP Book of Abstracts, 132. http://www.wageningenacademic.com/_clientfiles/EAAP/eaap2009-e.pdf

Zumbach, B., Madsen, P. & Holm, B. (2009). Genetic parameters for individuel piglet survival in Norsvin Landrace in 1st and 2nd parity. EAAP Book of Abstracts, 158. http://www.wageningenacademic.com/_clientfiles/EAAP/eaap2009-e.pdf

Zumbach, B., Madsen, P. & Holm, B. (2009). Genetic parameters for individual piglet survival in Norsvin Landrace in 1st and 2nd parity. Poster session presented at Annual Meeting of of the European Association for Animal Production, EAAP, Barcelona, Spain.

Zink, V., Lassen, J. & Stipková, M. (2010). Genetic Parameters of Female Fertility and Udder Conformation Traits in the Czech Holstein Cattle Population. In Abracts (pp. 193). Gesellschaft für Tierzuchtwissenschaften e. V..

Zink, V., Lassen, J. & Stipková, M. (2010). Genetic Parameters of Female Fertility and Udder Conformation Traits in the Czech Holstein Cattle Population. Poster session presented at World Congress on Genetics Applied to Livestock Production, WCGALP, Leipzig, Germany.

Zink, V., Stipkova, M. & Lassen, J. (2011). Genetic parameters for female fertility, locomotion, body condition score, and linear type traits in Czech Holstein cattle. Journal of Dairy Science, 94(10), 5176. https://doi.org/10.3168/jds.2010-3644

Zink, V., Lassen, J. & Štipkova, M. (2012). Genetic parameters for female fertility and milk production traits in first-parity Czech Holstein cows. Czech Journal of Animal Science, 57(3), 108-114.

Zink, V., Zavadilová, L., Lassen, J., Štipkova, M., Vacek, J. & Štolc, L. (2014). Analyses of genetic relationships between linear type traits, fat-to-protein ratio, milk production traits, and somatic cell count in first-parity Czech Holstein cows. Czech Journal of Animal Science, 59(12), 539-547. http://www.agriculturejournals.cz/publicFiles/138127.pdf

Zhu, Z., Kristensen, L., Poulsen, M., Lassen, J., Noel, S. J., Højberg, O. & Løvendahl, P. (2014). Dairy cow rumen fermentation characteristics at the onset of lactation. Poster session presented at Rowett-INRA 2014. Gut Microbiology: from Sequence to Function, Aberdeen, United Kingdom.

Zhu, Z., Kristensen, L., Højbjerg, O., Poulsen, M., Lassen, J., Noel, S. J. & Løvendahl, P. (2014). Variation among Dairy Cows in Rumen Liquid Fermentation Characteristics. Poster session presented at 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014/activity/DtbvU7eMTN

Zhu, Z., Noel, S. J., Difford, G., Al-Soud, W. A., Brejnrod, A. D., Sørensen, S. J., Lassen, J., Løvendahl, P. & Højberg, O. (2016). Community structure of rumen metabolically active bacterial and archaeal communities in dairy cows over the transition period. Poster session presented at INRA - Rowett 2016, Clermont-Ferrand, France.

Zhu, Z., Noel, S. J., Difford, G., Abu Al-Soud, W., Brejnrod, A., Sørensen, J., Lassen, J., Løvendahl, P. & Højberg, O. (2016). The community structure of rumen metabolically active bacterial and archaeal communities in dairy cows over the transition period. In Proceedings: Gut Microbiology - 20 Years & counting. 10th INRA-Rowett Symposium (pp. 92-92).

Zhu, Z., Noel, S. J., Difford, G. F., Al-Soud, W. A., Brejnrod, A., Sørensen, S. J., Lassen, J., Løvendahl, P. & Højberg, O. (2017). Community structure of the metabolically active rumen bacterial and archaeal communities of dairy cows over the transition period. P L o S One, 12(11), e0187858. https://doi.org/10.1371/journal.pone.0187858

Zhu, Z., Kristensen, L., Difford, G. F., Poulsen, M., Noel, S. J., Abu Al-Soud, W., Sørensen, S. J., Lassen, J., Løvendahl, P. & Højberg, O. (2018). Changes in rumen bacterial and archaeal communities over the transition period in primiparous Holstein dairy cows. Journal of Dairy Science, 101(11), 9847-9862. https://doi.org/10.3168/jds.2017-14366

Zhu, Z., Difford, G., Noel, S. J., Lassen, J., Løvendahl, P. & Hojberg, O. (2021). Stability Assessment of the Rumen Bacterial and Archaeal Communities in Dairy Cows Within a Single Lactation and Its Association With Host Phenotype. Frontiers in Microbiology, 12, [636223]. https://doi.org/10.3389/fmicb.2021.636223

Zhou, L., Ding, X., Zhang, Q., Wang, Y., Lund, M. S. & Su, G. (2012). Genomic prediction using the combined Chinese and Nordic Holsteins reference population. Poster session presented at 4th International Conference on Quantitative Genetics, Edinburgh, United Kingdom.

Zhou, L., Ding, X., Zhang, Q., Wang, Y., Lund, M. S. & Su, G. (2012). Genomic prediction using the combined Chinese and Nordic Holsteins reference population. In Programme & Book of Abstracts, ICQG2012 (pp. 150-150).

Zhou, L., Ding, X., Zhang, Q., Wang, Y., Lund, M. S. & Su, G. (2013). Consistency of linkage disequilibrium between Chinese and Nordic Holsteins and genomic prediction for Chinese Holsteins using the joint reference population. Genetics Selection Evolution, 45(1), [7]. https://doi.org/10.1186/1297-9686-45-7

Zhou, L., Lund, M. S., Wang, Y. & Su, G. (2014). Genomic predictions across Nordic Holstein and Nordic Red using the genomic best linear unbiased prediction model with different genomic relationship matrices. Journal of Animal Breeding and Genetics, 131(4), 249-257. https://doi.org/10.1111/jbg.12089

Zhou, L., Heringstad, B., Su, G., Guldbrandtsen, B., Meuwissen, T. H. E., Svendsen, M., Grove, H., Nielsen, U. S. & Lund, M. S. (2014). Genomic predictions based on a joint reference population for the Nordic Red cattle breeds. Journal of Dairy Science, 97(7), 4485-4496. https://doi.org/10.3168/jds.2013-7580

Zhao, Q., Liu, H., Qadri, Q. R., Wang, Q., Pan, Y. & Su, G. (2021). Long-term impact of conventional and optimal contribution conservation methods on genetic diversity and genetic gain in local pig breeds. Heredity, 127(6), 546-553. https://doi.org/10.1038/s41437-021-00484-z

Zhang, Q., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2014). Inbreeding, admixture and selection signature in Danish Cattle breeds. Poster session presented at 34th International Society for Animal Genetics Conference, Xi'an, China.

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. 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

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., Lund, M. S. & Sahana, G. (2016). Rare variants from imputed whole genome sequence explain a small fraction of the total genetic variance in different traits in cattle. Abstract from 5th International Conference on Quantitative Genetics , Madison, United States.

Zhang, Q., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2016). Rare variants from imputed whole genome sequence explain a small fraction of the total genetic variance for stature and milk yield in cattle. Poster session presented at 5th International Conference on Quantitative Genetics , Madison, United States.

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, [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), [60]. https://doi.org/10.1186/s12711-017-0336-z

Zhang, Q., Calus, M., Bosse, M., Sahana, G., Lund, M. S. & Guldbrandtsen, B. (2018). Human-Mediated Introgression of Haplotypes in a Modern Dairy Cattle Breed. Genetics, 209(4), 1305-1317. https://doi.org/10.1534/genetics.118.301143

Zhang, Q., Sahana, G., Su, G., Guldbrandtsen, B., Lund, M. S. & Calus, M. P. L. (2018). Impact of rare and low-frequency sequence variants on reliability of genomic prediction in dairy cattle. Genetics Selection Evolution, 50(1), [62]. https://doi.org/10.1186/s12711-018-0432-8

Zhang, H., Liu, A., Li, X., Xu, W., Shi, R., Luo, H., Su, G., Dong, G., Guo, G. & Wang, Y. (2019). Genetic analysis of skinfold thickness and its association with body condition score and milk production traits in Chinese Holstein population. Journal of Dairy Science, 102(3), 2347-2352. https://doi.org/10.3168/jds.2018-15180

Zhang, Z., Kargo, M., Liu, A., Thomasen, J. R., Pan, Y. & Su, G. (2019). Genotype-by-environment interaction of fertility traits in Danish Holstein cattle using a single-step genomic reaction norm model. Heredity, 123(2), 202-214. https://doi.org/10.1038/s41437-019-0192-4

Zhang, T., Gao, H., Sahana, G., Zan, Y., Fan, H., Liu, J., Shi, L., Liu, J., Du, L., Wang, L. & Zhao, F. (2019). Genome-wide association studies revealed candidate genes for tail fat deposition and body size in the Hulun Buir sheep. Journal of Animal Breeding and Genetics, 136(5), 362-370. https://doi.org/10.1111/jbg.12402

Zhang, Q., Difford, G., Sahana, G., Løvendahl, P., Lassen, J., Lund, M. S., Guldbrandtsen, B. & Janss, L. (2020). Bayesian modeling reveals host genetics associated with rumen microbiota jointly influence methane emission in dairy cows. The ISME Journal, 14(8), 2019-2033. https://doi.org/10.1038/s41396-020-0663-x

Zhang, Q., Cai, Z., Lhomme, M., Sahana, G., Lesnik, P., Guerin, M., Fredholm, M. & Karlskov-Mortensen, P. (2020). Inclusion of endophenotypes in a standard GWAS facilitate a detailed mechanistic understanding of genetic elements that control blood lipid levels. Scientific Reports, 10(1), [18434]. https://doi.org/10.1038/s41598-020-75612-6

Zhang, H., Liu, A., Wang, Y., Luo, H., Yan, X., Guo, X., Li, X., Liu, L. & Su, G. (2021). Genetic Parameters and Genome-Wide Association Studies of Eight Longevity Traits Representing Either Full or Partial Lifespan in Chinese Holsteins. Frontiers in Genetics, 12, [634986]. https://doi.org/10.3389/fgene.2021.634986/full

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