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Hosseinzadeh, S., Rafat, S. A. & Fang, L. (2025). Integrated TWAS, GWAS, and RNAseq results identify candidate genes associated with reproductive traits in cows. Scientific Reports, 15(1), 1932. Article 1932. https://doi.org/10.1038/s41598-024-82448-x

Ye, X., Sahana, G., Lund, M. S., Li, B. & Cai, Z. (2025). Network analyses unraveled the complex interactions in the rumen microbiota associated with methane emission in dairy cattle. Animal Microbiome, 7(1), Article 24. https://doi.org/10.1186/s42523-025-00386-z

Tu, J. H., Liu, B. G., Lin, B. J., Liu, H. C., Guo, S. C., Ouyang, Q. Y., Fang, L. Z., He, X., Song, Z. H. & Zhang, H. H. (2025). Single-cell transcriptomic atlas of the chicken cecum reveals cellular responses and state shifts during Eimeria tenella infection. BMC Genomics, 26(1), Article 141. https://doi.org/10.1186/s12864-025-11302-9

Li, P., Li, Z., Ying, F., Zhu, D., Liu, D., Song, X., Wen, J., Zhao, G. & An, B. (2025). Leveraging ultrasonic-derived phenotypes and estimated breeding value to improve abdominal fat weight prediction in chickens throughout the egg laying period. Smart Agricultural Technology, 11, Article 100912. https://doi.org/10.1016/j.atech.2025.100912

Nawoya, S., Geissmann, Q., Karstoft, H., Bjerge, K., Akol, R., Katumba, A., Mwikirize, C. & Gebreyesus, G. (2025). Prediction of black soldier fly larval sex and morphological traits using computer vision and deep learning. Smart Agricultural Technology, 11, Article 100953. https://doi.org/10.1016/j.atech.2025.100953

McLain, A., Kowalczyk, A., Baran-Rachwalska, P., Sutera, F. M., Robertson, L. J., Nielsen, N. S., Enghild, J. J., Cobice, D., Bonelli, F., Barbaro, V., Ferrari, S., Patterson, B., Moore, L., Marshall, J., Nesbit, M. A. & Moore, T. (2025). TGFBI R124H mutant allele silencing in granular corneal dystrophy type 2 using topical siRNA delivery. Journal of Controlled Release, 382, Article 113681. https://doi.org/10.1016/j.jconrel.2025.113681

Markant, A., Tabrizi, F., Grönvall, H., Speed, D. & Åhs, F. (2025). Association Between Polygenic Risk Scores and Treatment Response to Antidepressants, Benzodiazepines, and Antihistamines in Anxiety and Depression. Biological Psychiatry: Global Open Science, 5(3), Article 100470. https://doi.org/10.1016/j.bpsgos.2025.100470, https://doi.org/10.1016/j.bpsgos.2025.100470

Tenhunen, S., Thomasen, J. R., Sørensen, L. P., Kargo, M., Berg, P. & Nielsen, H. M. (2025). Inbreeding affects the survival of Danish Jersey and Holstein dairy cows. Journal of Dairy Science. Advance online publication. https://doi.org/10.3168/jds.2024-26125, https://doi.org/10.3168/jds.2024-26125

Epi25 Collaborative (2025). Genome-wide association meta-analyses of drug-resistant epilepsy. EBioMedicine, 105675. Advance online publication. https://doi.org/10.1016/j.ebiom.2025.105675

ChickenGTEx Consortium (2025). Genetic regulation of gene expression across multiple tissues in chickens. Nature Genetics. Advance online publication. https://doi.org/10.1038/s41588-025-02155-9

Digel, L., Justesen, M. L., Madsen, N. S., Fransaert, N., Wouters, K., Bonné, R., Plum-Jensen, L. E., Marshall, I. P. G., Jensen, P. B., Nicolas-Asselineau, L., Drace, T., Bøggild, A., Hansen, J. L., Schramm, A., Bøjesen, E. D., Nielsen, L. P., Manca, J. V. & Boesen, T. (2025). Comparison of cable bacteria genera reveals details of their conduction machinery. EMBO Reports, 26(7), 1749-1767. Article 13699. https://doi.org/10.1038/s44319-025-00387-8

Hansen, L. S., Bouwman, A. C., Sahana, G., Slagboom, M., Nielsen, H. M. & Ellen, E. D. (2025). Comparative evaluation of phenotypic, pedigree, and family-based selection in insect breeding using stochastic simulation. Animal, 19(4), Article 101475. https://doi.org/10.1016/j.animal.2025.101475

Salimi, M., Nazari, M., Koloski, MF., Barnes, SA., Mishler, J., Jomehpour, S. & Ramanathan, DS. (2025). Dynamically Adjusting Intertemporal Choice Task in Rodents. European Journal of Neuroscience, 61(7), Article e70104. https://doi.org/10.1111/ejn.70104

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

Johansen, K. K., Kargo, M., Christensen, O. F., Bjerring, M., Løvendahl, P. & Buitenhuis, A. J. (2025). Repeatability and genetic parameters for phenotypes of methane emission in crossbred beef×dairy slaughter calves. Animal : an international journal of animal bioscience, 19(4), 101478. Article 101478. https://doi.org/10.1016/j.animal.2025.101478

Conover, C. A. & Oxvig, C. (2025). The IGF System and Aging. Endocrine Reviews, 46(2), 214-223. https://doi.org/10.1210/endrev/bnae029

Worm, J., Jørgensen, I. F., Davídsson, Ó. B., Hjalgrim, H., Röder, T., Ostrowski, S. R., Pedersen, O. B., Erikstrup, C., Bruun, M. T., Jensen, B. A., Sørensen, E., Ullum, H., Björnsdóttir, G., Thorgeirsson, T., Stefánsson, H., Sveinsson, Ó. Á., Stefansson, K., Schytz, H. W., Bendtsen, L. ... Westergaard, D. (2025). Trigeminal neuralgia and its comorbidities: A nationwide disease trajectory study. Pain, 166(4), 879-887. https://doi.org/10.1097/j.pain.0000000000003428

FarmGTEx Consortium (2025). The Farm Animal Genotype-Tissue Expression (FarmGTEx) Project. Nature Genetics. Advance online publication. https://doi.org/10.1038/s41588-025-02121-5

Genes & Health Research Team (2025). Genome-wide association study meta-analysis provides insights into the etiology of heart failure and its subtypes. Nature Genetics. Advance online publication. https://doi.org/10.1038/s41588-024-02064-3

Holur, P., Enevoldsen, K. C., Rajesh, S., Mboning, L., Georgiou, T., Bouchard, L. S., Pellegrini, M. & Roychowdhury, V. (2025). Embed-Search-Align: DNA sequence alignment using Transformer models. Bioinformatics, 41(3), Article btaf041. https://doi.org/10.1093/bioinformatics/btaf041

Thorsteinsson, M. M., Schönherz, A. A., Noel, S. J., Cai, Z., Niu, Z., Hellwing, A. L. F., Lund, P., Weisbjerg, M. R. & Nielsen, M. O. (2025). A preliminary study on the effects of red Bonnemaisonia hamifera seaweed on methane emissions from dairy cows. JDS Communications , 6(2), 217-222. https://doi.org/10.3168/jdsc.2024-0670

Cantet, R. J. C. & Jensen, J. (2025). Causal inference and GWAS: Rubin, Pearl, and Mendelian randomization. Journal of Animal Breeding and Genetics, 142(2), 200-213. https://doi.org/10.1111/jbg.12898, https://doi.org/Causal inference and GWAS: Rubin, Pearl, and Mendelian randomization

Chalabi, S., Loonen, L., Boekhorst, J., Li, H., Fang, L., Harrison, P. W., Lakhal, W., Lluch, J., Sokolov, A., Djebali, S., Rau, A., Giuffra, E. & Wells, J. (2025). Differences in maternal diet fiber content influence patterns of gene expression and chromatin accessibility in fetuses and piglets. Genomics, 117(2), Article 110995. https://doi.org/10.1016/j.ygeno.2025.110995

Wang, J., Kidmose, R. T., Boegholm, N., Zacharia, N. K., Thomsen, M. B., Christensen, A., Malik, T., Lechtreck, K. & Lorentzen, E. (2025). Integrative in silico and biochemical analyses demonstrate direct Arl3-mediated ODA16 release from the intraflagellar transport machinery. Journal of Biological Chemistry, 301(3), Article 108237. https://doi.org/10.1016/j.jbc.2025.108237

Martín-Rivada, Á., Martos-Moreno, G., Guerra-Cantera, S., Campillo-Calatayud, A., Oxvig, C., Frystyk, J., Chowen, J. A., Barrios, V. & Argente, J. (2025). Prepubertal Children With Obesity Have High Free IGF-1 Levels and Accelerated Growth Despite Reduced Pappalysin Levels. Journal of Clinical Endocrinology and Metabolism, 110(3), e622-e629. https://doi.org/10.1210/clinem/dgae288

Zaalberg, R. M., Buitenhuis, A. J., Jensen, J., Chu, T. T. & Villumsen, T. M. (2025). Short communication: Including genomic information increases accuracy of breeding value estimation in a small outdoor organic pig population. Animal, 19(3), Article 101434. https://doi.org/10.1016/j.animal.2025.101434

He, S., Song, B., Tang, Y., Qu, X., Li, X., Yang, X., Bao, Q., Fang, L., Jiang, J., Tang, Z. & Yi, G. (2025). Systematic benchmarking of tools for structural variation detection using short- and long-read sequencing data in pigs. iScience, 28(3), Article 111983. https://doi.org/10.1016/j.isci.2025.111983

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

Chu, T. T. & Jensen, J. (2025). ADAM-multi: software to simulate complex breeding programs for animals and plants with different ploidy levels and generalized genotypic effect models to account for multiple alleles. Frontiers in Genetics, 16, Article 1513615. https://doi.org/10.3389/fgene.2025.1513615

Liu, H., Zhang, J., Cui, T., Zhang, X., Li, K., Wang, F., Luo, Q., Fei, S., Chen, B., Zhu, C., Chen, K., Zhu, X., Li, B., Zhao, J., Fang, L. & Ou, M. (2025). A chromosome-level genome assembly of the male darkbarbel catfish (Pelteobagrus vachelli) using PacBio HiFi and Hi-C data. Scientific Data, 12(1), Article 351. https://doi.org/10.1038/s41597-025-04662-0

Fang, L. (2025). Context-specific regulatory variants in precision medicine and agriculture. Nature Reviews. Genetics, 26(2), 81. https://doi.org/10.1038/s41576-024-00798-8

Stephansen, R. B., Lassen, J., Thorup, V. M., Poulsen, B. G., Jensen, J., Sahana, G. & Christensen, O. F. (2025). Modeling Feed Efficiency over Productive Lifetime and Integrating a Sub-Model for Body Reserve Management in Nordic Dairy Cattle. Journal of Dairy Science, 108(2), 1757-1777. https://doi.org/10.3168/jds.2024-25383, https://doi.org/10.3168/jds.2024-25383

Chen, M. Y., Fulton, L. M., Huang, I., Liman, A., Hossain, S. S., Hamilton, C. D., Song, S., Geissmann, Q., King, K. C. & Haney, C. H. (2025). Order among chaos: High throughput MYCroplanters can distinguish interacting drivers of host infection in a highly stochastic system. PLOS Pathogens, 21(2 February), Article e1012894. https://doi.org/10.1371/journal.ppat.1012894

Laursen, S. F., Hansen, L. S., Sørensen, J. G. & Kristensen, T. N. (2025). Skal vi leve af larver? Insekter som en bæredygtig kilde til føde. Aktuel Naturvidenskab, 2025(1). https://aktuelnaturvidenskab.dk/find-artikel/nyeste-numre/1-2025/skal-vi-leve-af-larver

Si, J., Dai, D., Gorkhali, N. A., Wang, M., Wang, S., Sapkota, S., Kadel, R. C., Sadaula, A., Dhakal, A., Faruque, M. O., Omar, A. I., Sari, E. M., Ashari, H., Dagong, M. I. A., Yindee, M., Rushdi, H. E., Elregalaty, H., Amin, A., Radwan, M. A. ... Zhang, Y. (2025). Complete Genomic Landscape Reveals Hidden Evolutionary History and Selection Signature in Asian Water Buffaloes (Bubalus bubalis). Advanced Science, e2407615. https://doi.org/10.1002/advs.202407615, https://doi.org/10.1002/advs.202407615

Malinowska, M., Kristensen, P. S., Nielsen, B., Fè, D., Ruud, A. K., Lenk, I., Greve, M. & Asp, T. (2025). The value of early root development traits in breeding programs for biomass yield in perennial ryegrass (Lolium perenne L.). Theoretical and Applied Genetics, 138(1), 31. Article 31. https://doi.org/10.1007/s00122-024-04797-5, https://doi.org/10.1007/s00122-024-04797-5

Raffo, M. A., Sarup, P., Jensen, J., Guo, X., Jensen, J. D., Orabi, J., Jahoor, A. & Christensen, O. F. (2025). Genomic prediction for yield and malting traits in barley using metabolomic and near-infrared spectra. Theoretical and Applied Genetics, 138(1), Article 24. https://doi.org/10.1007/s00122-024-04806-7

Kunkel, D., Sørensen, P., Shankar, V. & Morgante, F. (2025). Improving polygenic prediction from summary data by learning patterns of effect sharing across multiple phenotypes. PLOS Genetics, 21(1), Article e1011519. https://doi.org/10.1371/journal.pgen.1011519

Chegini, A., Strandén, I., Karaman, E., Iso-Touru, T., Pösö, J., Aamand, G. P. & Lidauer, M. H. (2025). Marker weighting improves single-step genomic prediction reliabilities of udder health traits in Nordic Red and Jersey dairy cattle populations. Journal of Dairy Science, 108(1), 651-663. https://doi.org/10.3168/jds.2024-25374, https://doi.org/10.3168/jds.2024-25374

Skovbjerg, C. K., Sarup, P. M., Wahlström, E., Jensen, J. D., Orabi, J., Jensen, J., Jahoor, A. & Ramstein, G. (2025). Multi-population GWAS detects robust marker associations in a newly established six-rowed winter barley breeding program. Heredity, 134(1), 33-48. Article 63. https://doi.org/10.1038/s41437-024-00733-x

Skovbjerg, C. K., Sarup, P., Wahlström, E., Jensen, J. D., Orabi, J., Olesen, L., Jensen, J., Jahoor, A. & Ramstein, G. (2025). Correction: Multi-population GWAS detects robust marker associations in a newly established six-rowed winter barley breeding program (Heredity, (2025), 134, 1, (33-48), 10.1038/s41437-024-00733-x). Heredity. Advance online publication. https://doi.org/10.1038/s41437-025-00751-3

Nersesjan, M., Hoffmann-Lücke, E., Greibe, E., Aaslo, P. H., Bak, L. K., Pedersen, L. E., Fruekilde, P. B. N., Stark, A., Christensen, J., Brønden, A. & Larsen, J. B. (Accepted/In press). Evaluation of antiseizure medication concentration ranges in blood samples using an automated big data approach. Epilepsia. https://doi.org/10.1111/epi.18330

Ramírez-Díaz, J., Bobbo, T., Guldbrandtsen, B., Schönherz, A. A., Cozzi, P., Kusza, S., Sahana, G., Stella, A. & Manunza, A. (2025). Exploring the complex population structure and admixture of four local Hungarian sheep breeds. Frontiers in Genetics, 16. https://doi.org/10.3389/fgene.2025.1507315

Li, X., Wang, Z., Zhu, M., Wang, B., Teng, S., Yan, J., Wang, H., Yuan, P., Cao, S., Qu, X., Wang, Z., Zhan, K., Choudhury, M. P., Yang, X., Bao, Q., He, S., Liu, L., Zhao, P., Jiang, J. ... Yi, G. (2025). Genomic Insights into Post-Domestication Expansion and Selection of Body Size in Ponies. Advanced Science. Advance online publication. https://doi.org/10.1002/advs.202413023

Xu, Z., Lin, Q., Cai, X., Zhong, Z., Teng, J., Li, B., Zeng, H., Gao, Y., Cai, Z., Wang, X., Shi, L., Wang, X., Wang, Y., Zhang, Z., Lin, Y., Liu, S., Yin, H., Bai, Z., Wei, C. ... Consortium, T. PTE. (2025). Integrating large-scale meta-GWAS and PigGTEx resources to decipher the genetic basis of 232 complex traits in pigs. National Science Review, nwaf048. https://doi.org/10.1093/nsr/nwaf048

Barboza Bispo, R., Teixeira do Amaral Junior, A., Santos, T. D. O., de Lima, V. J., Simão, B. R., Freitas, M. S. M., Kamphorst, S. H., Carvalho, C. M., Lamêgo, D. L., Nicácio Viana, F., Bernardo, W. D. P., Campostrini, E. & Bressan-Smith, R. (2025). Morphophysiological approach to heterosis in phosphorus use efficiency in popcorn. Cogent Food & Agriculture, 11(1), Article 2452347. https://doi.org/10.1080/23311932.2025.2452347

Yousaf, M. F., Tomar, V., Romé, H., Bagge, M., Timmermann, M., Chu, T. T. & Jensen, J. (2025). Rate of double reduction and genetic variability in yield, quality, and senescence related traits in tetraploid potato (Solanum tuberosum L.). Frontiers in Plant Science, 16, 1560123. https://doi.org/10.3389/fpls.2025.1560123, https://doi.org/10.3389/fpls.2025.1560123

Løvendahl, P., Milkevych, V., Krogh Nielsen, R., Bjerring, M., Manzanilla-Pech, C., Johansen, K., Difford, G. F. & Villumsen, T. M. (2024). A data-driven approach to the processing of sniffer-based gas emissions data from dairy cattle. Computers and Electronics in Agriculture, 227(Part 1), Article 109559. https://doi.org/10.1016/j.compag.2024.109559

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

Liu, H., Cui, T., Liu, H., Zhang, J., Luo, Q., Fei, S., Chen, K., Zhu, X., Zhu, C., Li, B., Fang, L., Zhao, J. & Ou, M. (2024). Chromosome-level genome assembly of the mud carp (Cirrhinus molitorella) using PacBio HiFi and Hi-C sequencing. Scientific Data, 11(1), Article 1249. https://doi.org/10.1038/s41597-024-04075-5

Hansen, L. S., Laursen, S. F., Bahrndorff, S., Kargo, M., Sørensen, J. G., Sahana, G., Nielsen, H. M. & Kristensen, T. N. (2024). Estimation of genetic parameters for the implementation of selective breeding in commercial insect production. Genetics, selection, evolution : GSE, 56(1), 21. Article 21. https://doi.org/10.1186/s12711-024-00894-7

Bai, Z., Gholipourshahraki, T., Shrestha, M., Hjelholt, A., Hu, S., Kjolby, M., Rohde, P. D. & Sørensen, P. (2024). Evaluation of Bayesian Linear Regression derived gene set test methods. BMC Genomics, 25(1), Article 1236. https://doi.org/10.1186/s12864-024-11026-2

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

Sharif-Islam, M., van der Werf, J. H. J., Henryon, M., Chu, T. T., Wood, B. J. & Hermesch, S. (2024). Genotyping both live and dead animals to improve post-weaning survival of pigs in breeding programs. Genetics Selection Evolution, 56(1), Article 65. https://doi.org/10.1186/s12711-024-00932-4

Friedrich, J., Liu, S., Fang, L., Prendergast, J. & Wiener, P. (2024). Insights into trait-association of selection signatures and adaptive eQTL in indigenous African cattle. BMC Genomics, 25(1), Article 981. https://doi.org/10.1186/s12864-024-10852-8

Liu, P., Luo, N., Liu, D., Ying, F., Zhu, D., Wen, J., Zhao, G. & An, B. (2024). Integrating GWAS and transcriptomics to identify candidate genes conferring relative growth rate trait in white-feathered broiler. Poultry Science, 103(12), Article 104338. https://doi.org/10.1016/j.psj.2024.104338

Cai, Z., Iso-Touru, T., Sanchez, M.-P., Kadri, N., Bouwman, A. C., Chitneedi, P. K., MacLeod, I. M., Vander Jagt, C. J., Chamberlain, A. J., Gredler-Grandl, B., Spengeler, M., Lund, M. S., Boichard, D., Kühn, C., Pausch, H., Vilkki, J. & Sahana, G. (2024). Meta-analysis of six dairy cattle breeds reveals biologically relevant candidate genes for mastitis resistance. Genetics, selection, evolution : GSE, 56(1), Article 54. https://doi.org/10.1186/s12711-024-00920-8

Liu, L., Yi, G., Yao, Y., Liu, Y., Li, J., Yang, Y., Liu, M., Fang, L., Mo, D., Zhang, L., Liu, Y., Niu, Y., Wang, L., Qu, X., Pan, Z., Wang, L., Chen, M., Fan, X., Chen, Y. ... Tang, Z. (2024). Multiomics analysis reveals signatures of selection and loci associated with complex traits in pigs. iMeta, 3(6), Article e250. https://doi.org/10.1002/imt2.250

Li, D., Wang, Y., Yuan, T., Cao, M., He, Y., Zhang, L., Li, X., Jiang, Y., Li, K., Sun, J., Lv, G., Su, G., Wang, Q., Pan, Y., Li, X., Jiang, Y., Yang, G., Groenen, M. A. M., Derks, M. F. L. ... Yu, T. (2024). Pangenome and genome variation analyses of pigs unveil genomic facets for their adaptation and agronomic characteristics. iMeta, 3(6), Article e257. https://doi.org/10.1002/imt2.257

Yousaf, M. F., Demirel, U., Naeem, M., Naawe, E. K. & Caliskan, M. E. (2024). SNP Markers Associated with Some Root, Stolon, and Tuber Traits in Tetraploid Potatoes (Solanum tuberosum L.) Grown Under Diverse Growing Systems. Potato Research, 67(4), 1735-1753. https://doi.org/10.1007/s11540-024-09718-z

Bordbar, F., Jensen, J., Wadood, A. A. & Yao, Z. (2024). Linkage Disequilibrium Decay in Selected Cattle Breeds. Animals, 14(22), Article 3317. https://doi.org/10.3390/ani14223317

Slagboom, M., Nielsen, H. M., Kargo, M., Henryon, M. & Hansen, L. S. (2024). The effect of phenotyping, adult selection, and mating strategies on genetic gain and rate of inbreeding in black soldier fly breeding programs. Genetics Selection Evolution, 56(1), Article 71. https://doi.org/10.1186/s12711-024-00938-y

Gholipourshahraki, T., Bai, Z., Shrestha, M., Hjelholt, A., Hu, S., Kjolby, M., Rohde, P. D. & Sørensen, P. (2024). Evaluation of Bayesian Linear Regression models for gene set prioritization in complex diseases. PLOS Genetics, 20(11), Article e1011463. https://doi.org/10.1371/journal.pgen.1011463

Smith, A. G., Malinowska, M., Ruud, A. K., Janss, L., Krusell, L., Jensen, J. D. & Asp, T. (2024). Automated seminal root angle measurement with corrective annotation. AoB Plants, 16(5), Article plae046. https://doi.org/10.1093/aobpla/plae046

Schoen, D. J. & Speed, D. (2024). The heritability of fitness in a wild annual plant population with hierarchical size structure. Evolution, 78(10), 1739-1745. https://doi.org/10.1093/evolut/qpae112

Johansen, K., Vestergaard, M., Spleth, P., Hein, L., Nielsen, H. M. & Kargo, M. (2024). Growth and feed efficiency of Nordic Red Dairy Cattle, Holstein, and their F1 crossbreeds when limiting feed energy concentration in prepubertal heifers. Journal of Dairy Science, 107(10), 7973-7982. https://doi.org/10.3168/jds.2024-24904

De Pol, F., Baranowski, M., Neumann, C., Trampari, S., Nissen, P. & Pérez, J. (2024). Simulation and modelling of the detergent corona around the membrane protein MhsT based on SAXS data. Journal of Applied Crystallography, 57, 1415-1425. https://doi.org/10.1107/S1600576724006721

Stefanucci, L., Moslemi, C., Tomé, A. R., Virtue, S., Bidault, G., Gleadall, N. S., Watson, L. P. E., Kwa, J. E., Burden, F., Farrow, S., Banasik, K., Bay, J., Boldsen, J. K., Brodersen, T., Brunak, S., Burgdorf, K., Chalmer, M. A., Didriksen, M., Dinh, K. M. ... Frontini, M. (2024). SMIM1 absence is associated with reduced energy expenditure and excess weight. Med, 5(9), 1083-1095.e6. https://doi.org/10.1016/j.medj.2024.05.015

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Yang, H., Yang, L., Qian, J., Xu, L., Lin, L. & Su, G. (2024). Information of Growth Traits Is Helpful for Genetic Evaluation of Litter Size in Pigs. Animals, 14(18), Article 2669. https://doi.org/10.3390/ani14182669

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