Publications

Peer-reviewed publications at QGG

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Þórarinsdóttir, Þ., Eiriksson, J., Gautason, E., Thomasen, J. R. & Liu, H. (2025). Evaluating genomic breeding programs for a small dairy cattle population with widespread use of private bulls. Journal of Dairy Science, 108(11), 12450-12462. https://doi.org/10.3168/jds.2025-26592

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.

Zira, S., Bouquet, A. E. R., Rydhmer, L., Kargo, M. & Puillet, L. (2023). Carbon footprint based on lifetime productivity for future cows selected for resilience to climate-related disturbances. Journal of Dairy Science, 106(12), 8953-8968. https://doi.org/10.3168/jds.2023-23492

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

Zhukov, V. A., Borisov, A. Y., Kuznetsova, E. V., Madsen, L. H., Moffet, M. D., Ovchinnikova, E. S., Pinaev, A. G., Radutoiu, S., Rozov, S. M., Rychagova, T. S., Shtark, O. Y., Tsyganov, V. E., Voroshilova, V. A., Stougaard, J., Weeden, N. F. & Tikhonovich, I. A. (2008). GENOME SYNTENY OF PEA AND MODEL LEGUMES: FROM MUTATION THROUGH GENETIC MAPPING TO THE GENES. In FD. Dakora, SBM. Chimphango, AJ. Valentine, C. Elmerich & WE. Newton (Eds.), BIOLOGICAL NITROGEN FIXATION: TOWARDS POVERTY ALLEVIATION THROUGH SUSTAINABLE AGRICULTURE (pp. 223-224). Springer.

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. PLoS One, 12(11), e0187858. Article 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, Article 636223. https://doi.org/10.3389/fmicb.2021.636223

Zhu, X., Li, C., Luo, C., Bai, Z., Shu, D., Chen, P., Ren, J., Song, R., Fang, L., Qu, H., Wang, Y. & Hu, X. (2025). Mapping the regulatory genetic landscape of complex traits using a chicken advanced intercross line. Nature Communications, 16(1), Article 5841. https://doi.org/10.1038/s41467-025-60834-x

Zhu, D., Wang, Y., Qu, H., Feng, C., Zhang, H., Sheng, Z., Jiang, Y., Nie, Q., Chu, S., Shu, D., Jiang, Z., Zhang, D., Fang, L., Li, H., Xu, Z., Zhao, Y., Wang, Y. & Hu, X. (2025). GCRP: Integrated Global Chicken Reference Panel from 11,951 Chicken Genomes. Genomics, Proteomics and Bioinformatics, 23(3), Article qzaf032. https://doi.org/10.1093/gpbjnl/qzaf032

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), Article 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

Zhou, Y., Zhang, Z., Bao, Z., Li, H., Lyu, Y., Zan, Y., Wu, Y., Cheng, L., Fang, Y., Wu, K., Zhang, J., Lyu, H., Lin, T., Gao, Q., Saha, S., Mueller, L., Fei, Z., Städler, T., Xu, S. ... Huang, S. (2022). Graph pangenome captures missing heritability and empowers tomato breeding. Nature, 606(7914), 527-534. https://doi.org/10.1038/s41586-022-04808-9

Zhou, R., Yu, X., Rosenqvist, E. & Ottosen, C. O. (2023). Physiological and genetic studies inspired insights into tomato responding to multiple abiotic stresses. Acta Horticulturae, (1372), 1-7. https://doi.org/10.17660/ActaHortic.2023.1372.1

Zhou, H., Clark, E., Guan, D., Lagarrigue, S., Fang, L., Cheng, H., Tuggle, C. K., Kapoor, M., Wang, Y., Giuffra, E. & Egidy, G. (2025). Comparative Genomics and Epigenomics of Transcriptional Regulation. Annual Review of Animal Biosciences, 13(1), 73-98. https://doi.org/10.1146/annurev-animal-111523-102217

Zhou, J., Xu, L., Liu, Q., Ma, J., He, J., Casey, D. S., Zhong, L., Su, G., Huang, R., Li, P. & Zhao, Q. (2025). Genetic parameters of vulva traits and impact of vulva scores on gilts culling in Large White pigs. ANIMAL, 19(4), Article 101472. https://doi.org/10.1016/j.animal.2025.101472

Zhong, C., Li, X., Guan, D., Zhang, B., Wang, X., Qu, L., Zhou, H., Fang, L., Sun, C., Yang, N. & ChickenGTEx Consortium (2024). Age-dependent genetic architectures of chicken body weight explored by multidimensional GWAS and molQTL analyses. Journal of Genetics and Genomics, 51(12), 1423-1434. https://doi.org/10.1016/j.jgg.2024.09.003

Zheng, S. L., Henry, A., Cannie, D., Lee, M., Miller, D., McGurk, K. A., Bond, I., Xu, X., Issa, H., Francis, C., De Marvao, A., Theotokis, P. I., Buchan, R. J., Speed, D., Abner, E., Adams, L., Aragam, K. G., Ärnlöv, J., Raja, A. A. ... COVIDsortium (2024). Genome-wide association analysis provides insights into the molecular etiology of dilated cardiomyopathy. Nature Genetics, 56(12), 2646-2658. Article 2254. https://doi.org/10.1038/s41588-024-01952-y

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

Zhao, P., Peng, C., Fang, L., Wang, Z. & Liu, G. E. (2023). Taming transposable elements in livestock and poultry: a review of their roles and applications. Genetics Selection Evolution, 55(1), Article 50. https://doi.org/10.1186/s12711-023-00821-2

Zhao, P., Gu, L., Gao, Y., Pan, Z., Liu, L., Li, X., Zhou, H., Yu, D., Han, X., Qian, L., Liu, G. E., Fang, L. & Wang, Z. (2023). Young SINEs in pig genomes impact gene regulation, genetic diversity, and complex traits. Communications Biology, 6(1), Article 894. https://doi.org/10.1038/s42003-023-05234-x

Zhao, F., Xie, R., Fang, L., Xiang, R., Yuan, Z., Liu, Y. & Wang, L. (2024). Analysis of 206 whole-genome resequencing reveals selection signatures associated with breed-specific traits in Hu sheep. Evolutionary Applications, 17(6), Article e13697. https://doi.org/10.1111/eva.13697

Zhao, Q., Liu, H., Zhang, Q., Qadri, Q. R., Pan, Y., Su, G., Li, P. & Huang, R. (2025). Optimal Combination of Different Selection and Mating Strategies on Exploiting Genetic Diversity and Genetic Gain in Small Pig Conservation Populations. Journal of Animal Breeding and Genetics, 142(4), 444-453. https://doi.org/10.1111/jbg.12917

Zhang, Y., Luo, L., Xu, C., Zhang, Q. & Xing, Y. (2006). QTL for panicle size, heading date and plant height co-segregating in trait-performance derived near isogenic lines of rice (Oryza sativa). Theoretical and Applied Genetics, 113(2), 361-368. https://doi.org/10.1007/s00122-006-0305-3

Zhang, Y., Du, Y., Kragh, P., Villemoes, K., Pedersen, A. & Vajta, G. (2006). In Vitro Maturation of Oocytes and Development of Cloned Embryos in Pigs Cultured in a Chemically Defined Medium (PZM). In Proc. 22th Scientific Meeting of the European Embryo Transfer Association, AETE (pp. 204)

Zhang, Y.-H., Li, J., Pedersen, A. M., Villemoes, K., Schmidt, M. E., Bøgh, I. B., Purup, S., Bolund, L., Jørgensen, A. L., Yang, H., Li, N. & Vajta, G. (2007). Birth of cloned piglets derived from an optimized in vitro blastocyst production system by Trichostatin A treatment. In Proceedings of the Annual Conference of the International Embryo Transfer Society, IETS (pp. 168) https://doi.org/10.1071/RDv19n1Ab103

Zhang, X., Wollenweber, B., Jiang, D., Liu, F. & Zhao, J. (2008). Water deficits and heat shock effects on photosynthesis of a transgenic Arabidopsis thaliana constitutively expressing ABP9, a bZIP transcription factor. Journal of Experimental Botany, 59(4), 839-848. https://doi.org/10.1093/jxb/erm364

Zhang, X., Wollenweber, B., Jiang, D., Liu, F. & Zhao, J. (2008). Water deficits and heat shock effects on photosynthesis of a transgenic Arabidopsis thaliana constitutively expressing ABP9, a bZIP transcription factor. Poster session presented at 9th Nordic Photosynthesis Congress NPC-9, Copenhagen, Denmark.

Zhang, X., Wollenweber, B., Jiang, D., Liu, F. & Zhao, J. (2009). Water deficits and heat shock effects on photosynthesis of a transgenic Arabidopsis thaliana constitutively expressing ABP9, a bZIP transciption factor. Poster session presented at Plant Abiotic Stress Tolerance, Vienna, Austria.

Zhang, X., Wollenweber, B., Jiang, D., Liu, F. & Zhao, J. (2008). Water deficits and heat shock effects on photosynthesis in Arabidopsis thaliana constitutively expressing ABP9, a bZIP transcription factor. In 9th Nordic Photosynthesis Congress NPC-9 (pp. 64)

Zhang, Y., Li, J., Villemoes, K., Pedersen, A. M., Purup, S. & Vajta, G. (2007). An Epigenetic Modifier Results in Improved In Vitro Blastocyst production after Somatic Cell Nuclear Transfer. Cloning and Stem Cells, 9(3), 357-363. https://doi.org/10.1089/clo.2006.0090

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. BMC 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. BMC 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(1), Article 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), Article 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, H., Xu, W., Li, X., Luo, H., Liu, A. & Wang, Y. (2018). Genetic analysis of skinfold thickness and its association with body condition score, and milk production traits in Chinese Holstein population. Abstract from ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.

Zhang, Z., Zhang, Q., Xiao, Q., Sun, H., Gao, H., Yang, Y., Chen, J., Li, Z., Xue, M., Ma, P., Yang, H., Xu, N., Wang, Q. & Pan, Y. (2018). Distribution of runs of homozygosity in Chinese and Western pig breeds evaluated by reduced-representation sequencing data. Animal Genetics, 49(6), 579-591. https://doi.org/10.1111/age.12730

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), Article 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, Y., Ran, Y., Nagy, I., Lenk, I., Qiu, J. L., Asp, T., Jensen, C. S. & Gao, C. (2020). Targeted mutagenesis in ryegrass (Lolium spp.) using the CRISPR/Cas9 system. Plant Biotechnology Journal, 18(9), 1854-1856. https://doi.org/10.1111/pbi.13359

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), Article 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, Article 634986. https://doi.org/10.3389/fgene.2021.634986/full

Zhang, Q., Privé, F., Vilhjálmsson, B. & Speed, D. (2021). Improved genetic prediction of complex traits from individual-level data or summary statistics. Nature Communications, 12(1), Article 4192. https://doi.org/10.1038/s41467-021-24485-y

Zhang, Q., Zhang, Q. & Jensen, J. (2022). Association Studies and Genomic Prediction for Genetic Improvements in Agriculture. Frontiers in Plant Science, 13, Article 904230. https://doi.org/10.3389/fpls.2022.904230

Zhang, H., Wang, K., An, T., Zhu, L., Chang, Y., Lou, W., Liu, L., Guo, G., Liu, A., Su, G., Brito, L. F. & Wang, Y. (2022). Genetic parameters for dairy calf and replacement heifer wellness traits and their association with cow longevity and health indicators in Holstein cattle. Journal of Dairy Science, 105(8), 6749-6759. https://doi.org/10.3168/jds.2021-21450

Zhang, Q., Schönherz, A. A., Lund, M. S. & Guldbrandtsen, B. (2022). Positive Selection and Adaptive Introgression of Haplotypes from Bos indicus Improve the Modern Bos taurus Cattle. Agriculture (Switzerland), 12(6), Article 844. https://doi.org/10.3390/agriculture12060844

Zhang, Z., Shi, S., Zhang, Q., Aamand, G. P., Lund, M. S., Su, G. & Ding, X. (2023). Improving Genomic Prediction Accuracy in the Chinese Holstein Population by Combining with the Nordic Holstein Reference Population. Animals, 13(4), Article 636. https://doi.org/10.3390/ani13040636

Zhang, Q., Cui, B., Dong, X., Lv, W., Xie, X., Wang, Y., Guo, Z. & Jensen, J. (2025). Mapping of identity by descent reveals genes shaping morphology and biological traits in the cultivated lettuce varieties during the long-term crossbreeding. Theoretical and Applied Genetics, 138(5), Article 99. https://doi.org/10.1007/s00122-025-04879-y

The FarmGTEx Consortium (2025). FarmGTEx TWAS-server: An Interactive Web Server for Customized TWAS Analysis. Genomics, Proteomics and Bioinformatics, 23(1), Article qzaf006. https://doi.org/10.1093/gpbjnl/qzaf006

Zhan, B., Andersen, P. K., Hedegaard, J., Bendixen, C. & Panitz, F. (2009). Comparison of assembly strategies for high throughput de novo sequencing of bacterial genomes: Poster U45. Poster session presented at ISMB/ECCB 2009 - Seventeenth Annual International Conference on Intelligent Systems for Molecular Biology (ISMB) / Eighth Annual European Conference on Computational Biology (ECCB), Stockholm, Sweden.

Zhan, B., Hedegaard, J., Fadista, J., Panitz, F. & Bendixen, C. (2009). Global single nucleotide polymorphism discovery by whole genome sequencing a single: Poster no 47. Poster session presented at Pig Genome III Conference, Hinxton, Cambridge, United Kingdom.

Zhan, B., Angen, Ø., Hedegaard, J., Bendixen, C. & Panitz, F. (2010). The Draft Genome Sequences of Actinobacillus pleuropneumoniae Serotypes 2 and 6. Journal of Bacteriology, 192(21), 5846-5847. https://doi.org/10.1128/JB.00867-10

Zhan, B., Hedegaard, J., Bendixen, C. & Panitz, F. (2010). Analysis of global variation in pig: Discovery of novel SNPs by whole genome re-sequencing. In Programme and Abstract Book

Zhan, B., Hedegaard, J., Bendixen, C. & Panitz, F. (2010). Analysis of global variation in pig: Discovery of novel SNPs by whole genome re-sequencing. Poster session presented at Conference of the International Society for Animal Genetics, ISAG 2010, Edinburgh, United Kingdom.

Zetouni, L., Sørensen, A. C., Henryon, M. & Lassen, J. (2015). Direct multitrait selection gives the highest genetic response in a ratio trait. In Book of Abstracts of the 66th Annual Meeting of the European Federation of Animal Science (Vol. 21, pp. 288-288). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-816-2

Zetouni, L., Kargo, M. & Lassen, J. (2016). Fertility and health traits correlations with methane emissions. In Book of Abstracts of the 67th Annual Meeting of the European Association for Animal Production Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-830-8

Zetouni, L., Henryon, M., Kargo, M. & Lassen, J. (2017). Direct multitrait selection realizes the highest genetic response for ratio traits. Journal of Animal Science, 95(5), 1921-1925. https://doi.org/10.2527/jas.2016.1324

Zetouni, L., Kargo, M., Norberg, E. & Lassen, J. (2018). Genetic correlations between methane production and fertility, health and body type traits in Danish Holstein cows. Journal of Dairy Science, 101(3), 2273-2280. https://doi.org/10.3168/jds.2017-13402

Zetouni, L., Kargo, M. & Lassen, J. (2016). Genetic relationship between methane emissions and conformation traits in Danish Holstein cattle. In Book of Abstracts of the ASAS-ADSA-CSAS-WSASAS 20146 Joint Annual Meeting (pp. 187). Article 0395 http://www.jtmtg.org/JAM/2016/abstracts/134.pdf

Zetouni, L., Difford, G. F., Lassen, J., Byskov, M. V., Norberg, E. & Løvendahl, P. (2018). Is rumination time an indicator of methane production in dairy cows? Journal of Dairy Science, 101(12), 11074-11085. https://doi.org/10.3168/jds.2017-14280

Zeng, H., Zhang, W., Lin, Q., Gao, Y., Teng, J., Xu, Z., Cai, X., Zhong, Z., Wu, J., Liu, Y., Diao, S., Wei, C., Gong, W., Pan, X., Li, Z., Huang, X., Chen, X., Du, J., Zhao, F. ... PigGTEx Consortium (2024). PigBiobank: a valuable resource for understanding genetic and biological mechanisms of diverse complex traits in pigs. Nucleic Acids Research, 52(D1), D980-D989. https://doi.org/10.1093/nar/gkad1080

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