Publikationer

Peer-reviewed publikationer ved QGG

Berg, J. A., Sævik, B. K., Trangerud, C., Madsen, P. & Lingaas, F. (2025). Genetic analyses of lumbosacral transitional vertebra and hip dysplasia in nine dog breeds in Norway. Acta Veterinaria Scandinavica, 67(1), Artikel 25. https://doi.org/10.1186/s13028-025-00810-z

Zaalberg, R. M., Chu, T. T., Jensen, J. & Villumsen, T. M. (2025). Genetic analysis of number of functional teats, piglet survival, and piglet weight in organic pigs. I Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP) (s. 361-364). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-940-4_78

Hein, L., Johansen, K. K., Buitenhuis, A. J., Liu, H. & Karaman, E. (2025). Genetic correlations between feed efficiency, methane emission and the traits in the Danish BeefxDairy evaluation. I Book of abstracts of the 76th Annual Meeting of the European Federation of Animal Science (EAAP) (s. 584). EAAP. https://docs.eaap.org/boa/2025_Innsbruck_EAAP_Book_Abstracts.pdf

Hastrup, R. L., Buitenhuis, A. J., Christensen, O. F. & Sørensen, A. C. (2025). Genetic correlations between slaughter loss and other economically important traits measured on live pigs in DanBred Yorkshire. I Book of abstracts of the 76th Annual Meeting of the European Federation of Animal Science (EAAP) (s. 799). EAAP. https://docs.eaap.org/boa/2025_Innsbruck_EAAP_Book_Abstracts.pdf

Schneider, H., Lajevardi, R. K., Bjerring, M., Løvendahl, P., Lund, M. S. & Villumsen, T. M. (2025). Genetic parameters for enteric methane traits and their genetic connection with milk production in Danish Holstein cattle. Journal of Dairy Science, 108(11), 12519-12530. https://doi.org/10.3168/jds.2025-26853

Schneider, H. H., Lajevardi, R. K., Bjerring, M., Løvendahl, P., Lund, M. S., Villumsen, T. M. & Stephansen, R. B. (2025). Genetic parameters for enteric methane traits and their relationship with milk production in Danish Holstein and Danish Jersey Cattle. I Abstracts of the 2025 American Dairy Science Association® Annual Meeting (s. 165-166). Artikel 1564 https://www.adsa.org/Portals/0/SiteContent/Docs/Meetings/2025ADSA/Abstracts_BOOK_2025_20250624-1249.pdf

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), Artikel 101472. https://doi.org/10.1016/j.animal.2025.101472

ChickenGTEx Consortium (2025). Genetic regulation of gene expression across multiple tissues in chickens. Nature Genetics, 57(5), 1298-1308. Artikel 1821. https://doi.org/10.1038/s41588-025-02155-9

CattleGTEx Consortium (2025). Genetic score omics regression and multitrait meta-analysis detect widespread cis-regulatory effects shaping bovine complex traits. PNAS Nexus, 4(7), Artikel pgaf208. https://doi.org/10.1093/pnasnexus/pgaf208

Epi25 Collaborative (2025). Genome-wide association meta-analyses of drug-resistant epilepsy. EBioMedicine, 115, 105675. Artikel 105675. https://doi.org/10.1016/j.ebiom.2025.105675

Henry, A., Mo, X., Finan, C., Chaffin, M. D., Speed, D., Issa, H., Denaxas, S., Ware, J. S., Zheng, S. L., Malarstig, A., Gratton, J., Bond, I., Roselli, C., Miller, D., Chopade, S., Schmidt, A. F., Abner, E., Adams, L., Andersson, C. ... Ghouse, J. (2025). Genome-wide association study meta-analysis provides insights into the etiology of heart failure and its subtypes. Nature Genetics, 57(4), 815-828. Artikel 163. https://doi.org/10.1038/s41588-024-02064-3

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, 12(16), Artikel 2413023. https://doi.org/10.1002/advs.202413023

Bai, Z., Chen, W., Cai, Z. & Sahana, G. (2025). Genomic insights into young stock survival in Danish Jersey cattle: A breed-specific QTL on chromosome 10 and its regulatory potential. Genomics, 117(6), Artikel 111134. https://doi.org/10.1016/j.ygeno.2025.111134, https://doi.org/10.1016/j.ygeno.2025.111134

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), Artikel 24. https://doi.org/10.1007/s00122-024-04806-7

Skovbjerg, C. K., Sarup, P., Wahlström, E. M., Jensen, J. D., Olesen, L., Orabi, J., Jensen, J., Ramstein, G. P. & Jahoor, A. (2025). Genomic prediction in a small barley population can benefit from training on related populations. G3 (Bethesda, Md.), 15(11). https://doi.org/10.1093/g3journal/jkaf218, https://doi.org/10.1093/g3journal/jkaf218

Johansen, N. H., Bellucci, A., Hansen, P. B., Marum, P., Amdahl, H., Gylstrøm, K. H., Rognli, O. A., Kemešytė, V., Brazauskas, G., Greve, M., Persson, C., Isolahti, M., Helgadóttir, Á., Aavola, R., Asp, T. & Ramstein, G. P. (2025). Genomic prediction of agronomic traits in perennial ryegrass (Lolium perenne L.) and genotype x environment interactions at the limit of the species distribution. Theoretical and Applied Genetics, 138(11), Artikel 281. https://doi.org/10.1007/s00122-025-05064-x

Schneider, H. H., Stephansen, R. B., Bjerring, M., Løvendahl, P., Lund, M. S. & Villumsen, T. M. (2025). Genomic prediction of methane emissions in Danish Holstein using single step and multi-trait prediction models. I Proceedings of the 2025 Interbull Meeting (61 udg., s. 166-173) https://journal.interbull.org/index.php/ib/issue/view/73/8

Laursen, S. F., Hansen, L. S., Bahrndorff, S., Nielsen, H. M., Sahana, G., Sørensen, J. G., Ørsted, M. & Kristensen, T. N. (2025). Genotype-by-environment interactions for mean performance and trait variation in house fly larvae reared on two diets. Entomologia Experimentalis et Applicata, 173(6), 575-589. https://doi.org/10.1111/eea.13530

Dai, S., Zhao, P., Li, W., Peng, L., Jiang, E., Du, Y., Zhang, W., Dai, X., Yang, L., Li, Z., Xu, L., Lan, X., Lyu, W., Yang, L., Fang, L., Liu, G. E. & Zhou, Y. (2025). Global Pangenome Analysis Highlights the Critical Role of Structural Variants in Cattle Improvement and Identifies a Unique Event as a Novel Enhancer in IGFBP7⁺ Cells. Molecular Biology and Evolution, 42(9), Artikel msaf205. https://doi.org/10.1093/molbev/msaf205

Gautason, E., Þórarinsdóttir, Þ. & Sahana, G. (2025). Haplotypes affecting stillbirth and fertility in Icelandic Dairy Cattle. Journal of Applied Genetics, 66(4), 1053-1064. Artikel e65550. https://doi.org/10.1007/s13353-025-00978-0

Gebreyesus, G., Geissmann, Q., Boutrup, T., Overton, J. & Nielsen, H. M. (2025). Harvest weight can be used to predict filet yield in pike-perch (Sander Lucioperca). I Abstract Book of the XV International Symposium on Genetics in Aquaculture (s. 114) https://isgaxv.com/wp-content/uploads/2025/05/AbstractsBookv2_LR.pdf

Tabrizi, F., Rosén, J., Grönvall, H., William-Olsson, V. R., Arner, E., Magnusson, P. K., Palm, C., Larsson, H., Viktorin, A., Bernhardsson, J., Björkdahl, J., Jansson, B., Sundin, Ö., Zhou, X., Speed, D. & Åhs, F. (2025). Heritability and polygenic load for comorbid anxiety and depression. Translational Psychiatry, 15(1), 98. Artikel 98. https://doi.org/10.1038/s41398-025-03325-3

Kunduru, B., Bokros, N. T., Tabaracci, K., Kumar, R., Brar, M. S., Stubbs, C. J., Oduntan, Y., DeKold, J., Bishop, R., Woomer, J., Verges, V., McDonald, A. G., McMahan, C. S., DeBolt, S., Robertson, D. J. & Sekhon, R. S. (2025). High-density Phenotype Data of Intermediate Phenotypes Associated with Stalk Lodging Resistance in Maize. Scientific Data, 12(1), Artikel 1721. https://doi.org/10.1038/s41597-025-06008-2

Eiríksson, J. H., Þórarinsdóttir, Þ., Gautason, E., Thomasen, J. R. & Liu, H. (2025). Icelandic dairy cattle: successful conservation but how can the breed keep profitable? I Book of Abstracts of the 76th Annual Meeting of the European Federation of Animal Science (Bind 39, s. 331)

Ollivier, R., Rodriguez-Algaba, J., Patpour, M., Wadum Larsen, M., Kristensen, P. S., Mojerlou, S., Nielsen, B., Malinowska, M., Lenk, I., Justesen, A. F., Hovmøller, M. S., Boelt, B. & Asp, T. (2025). Identification of the genetic architecture of stem rust resistance in perennial ryegrass. Abstract fra 36th EUCARPIA Fodder Crops and Amenity Grasses Section conference, Aberystwyth, Storbritannien.

Hein, L., Thomasen, J. R., Kargo, M., Nielsen, H. M., Bouquet, A. E. R. & Liu, H. (2025). Impact of increased heterozygosity on Nordic Total Merit traits in dairy cattle: Potential for mating strategy optimization. Journal of Dairy Science, 108(9), 9946-9955. https://doi.org/10.3168/jds.2024-26200

Thomasen, J. R., Clasen, J., Fogh, A., Østergaard, S., Nielsen, H. M. & Kargo, M. (2025). Improved competitiveness of dairy producers through systematic crossbreeding – a holistic view. I Book of Abstracts of the 76th Annual Meeting of the European Federation of Animal Science (Bind 39, s. 581)

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), Artikel e1011519. https://doi.org/10.1371/journal.pgen.1011519

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, 108(6), 6203-6215. https://doi.org/10.3168/jds.2024-26125

Hansen, L. S. (2025). INSECT-IMP - advancing farmed insect breeding through interdisciplinary collaboration [061] - Sponsor Talk. 11-11. Abstract fra BSFcon 2025, Cambridge, Storbritannien.

Baghooee, M. & Geissmann, Q. (2025). Insect Size Matters: Using Image and Dimensions Together Improves Image Classification. bioRxiv. https://doi.org/10.1101/2025.06.27.661916

Sendrowski, J., Bataillon, T. & Ramstein, G. P. (2025). In silico prediction of variant effects: promises and limitations for precision plant breeding. Theoretical and Applied Genetics, 138(8), Artikel 193. https://doi.org/10.1007/s00122-025-04973-1

Wang, X., Yuan, Y., Pei, F., Yang, J., Wang, C., Bao, P., Zhao, X., Liu, H., Gao, H., Hou, M., Gao, Y., Li, J., Hao, D. & Li, R. (2025). Integrated Analysis of Proteomics and Metabolomics for Heat Stress in Chinese Holstein Cows. Animals, 15(20), Artikel 3049. https://doi.org/10.3390/ani15203049

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. Artikel 1932. https://doi.org/10.1038/s41598-024-82448-x

Wang, X., Si, J., Wang, Y., Fang, L., Zhang, Z. & Zhang, Y. (2025). Integrating gene expression data via weighted multiple kernel ridge regression improved accuracy of genomic prediction. Genetics Selection Evolution, 57(1), Artikel 48. https://doi.org/10.1186/s12711-025-00997-9

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. ... Zhang, Z. (2025). Integrating large-scale meta-GWAS and PigGTEx resources to decipher the genetic basis of 232 complex traits in pigs. National Science Review, 12(5), Artikel nwaf048. https://doi.org/10.1093/nsr/nwaf048

An, B., Liu, P., Yang, Z., Ying, F., Liu, D., Wen, J. & Zhao, G. (2025). Integrative transcriptomics and metabolomics reveal neuroendocrine-lipid crosstalk and adenosine signaling in broiler under heat stress. BMC Genomics, 26(1), Artikel 699. https://doi.org/10.1186/s12864-025-11881-7

Bouquet, A., Slagboom, M., Thomasen, J. R., Kargo, M., Friggens, N. C. & Puillet, L. (2025). Interfacing mechanistic and breeding scheme simulation to predict selection response on lactation efficiency in dairy cows under different nutritional environments. Genetics Selection Evolution, 57(1), Artikel 68. https://doi.org/10.1186/s12711-025-01013-w

Chen, J., Huang, R., Ma, J., Su, G., Huang, M., Zhou, W., Liu, C., Liu, Q., Li, P. & Zhao, Q. (2025). Investigating the genetic imprint of long body length, high lean meat rate, high fertility and long gestation period in Danish Landrace pigs. BMC Genomics, 26(1), Artikel 869. https://doi.org/10.1186/s12864-025-12092-w

Gensemer, C., Petrucci, T., Beck, T., Daylor, V., Griggs, M., Griggs, C., Weintraub, A., Byerly, K., Guo, L., Morningstar, J., Kornblau, I., Biggs, R., Moore, K., Koren, N., Hastings, C., Oberlies, E., Zientara, E. R., Devey, E., Dooley, S. ... Norris, R. A. (2025). KLK15 alters connective tissues in hypermobile Ehlers-Danlos syndrome. iScience, 28(9), Artikel 113343. https://doi.org/10.1016/j.isci.2025.113343

Lissner, E. S., Janns, L., Thorsen, M. & Blicher-Mathiesen, G., (2025). Kvælstofmarkbalancer og nitratudvaskning: Modellering på data fra Landovervågningen, 39 s., Fagligt notat fra DCE – Nationalt Center for Miljø og Energi (2020-...) Nr. 73 https://dce.au.dk/fileadmin/dce.au.dk/Udgivelser/Notater_2025/N2025_73.pdf

Lassen, J., Stephansen, R. B., Kupisiewicz, K. & Bengtson, C. (2025). Large-scale measured body weight changes effect on yield, health, reproduction, and feed efficiency in 3 different dairy cattle breeds. I Abstracts of the 2025 American Dairy Science Association® Annual Meeting (s. 160-160). Artikel 1550 https://www.adsa.org/Portals/0/SiteContent/Docs/Meetings/2025ADSA/Abstracts_BOOK_2025_20250624-1249.pdf

Hof, J. P. & Speed, D. (2025). LDAK-KVIK performs fast and powerful mixed-model association analysis of quantitative and binary phenotypes. Nature Genetics, 57(9), 2116-2123. https://doi.org/10.1038/s41588-025-02286-z

Hjelholt, A. J., Gholipourshahraki, T., Bai, Z., Shrestha, M., Kjolby, M., Sørensen, P. & Rohde, P. D. (2025). Leveraging genetic correlations to prioritize drug groups for repurposing in type 2 diabetes. The Pharmacogenomics Journal, 25(6), Artikel 33. https://doi.org/10.1038/s41397-025-00392-z

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, Artikel 100912. https://doi.org/10.1016/j.atech.2025.100912

Xi, Y., Qi, J., Yang, Z., Zeng, Y., Zhang, H., Tao, Q., Xu, M., Huang, A., Hu, S., Han, C., Bai, L., Hu, J., Wang, J., Li, L., Fang, L. & Liu, H. (2025). Mapping multitissue regulatory variants reveals a liver-centric coexpression network associated with duck egg-laying performance. Genome Research, 35(10), 2211-2225. https://doi.org/10.1101/gr.280345.124

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), Artikel 99. https://doi.org/10.1007/s00122-025-04879-y

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), Artikel 5841. https://doi.org/10.1038/s41467-025-60834-x

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

iPSYCH-MINERvA Group (2025). Maternal asthma and newborn DNA methylation. Clinical Epigenetics, 17(1), Artikel 79. https://doi.org/10.1186/s13148-025-01858-4

Guo, X., Sarup, P., Bay Nord, A., Henryon, M., Ostersen, T. & Christensen, O. F. (2025). Metabolomic-genomic prediction realizes small increases in accuracy of estimated breeding values for daily gain in pigs. Genetics Selection Evolution, 57(1), Artikel 24. https://doi.org/10.1186/s12711-025-00972-4

González-Recio, O., Pryce, J., Rowe, S., Sahana, G. & Gredler-Grandl, B. (2025). MicroHUB: An international initiative to modulate the rumen microbiome for methane mitigation. 136. Abstract fra The 76th EAAP Annual Meeting, Innsbruck , Østrig. https://docs.eaap.org/boa/2025_Innsbruck_EAAP_Book_Abstracts.pdf

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

Bouquet, A. E. R., Kargo, M., Thorup, V. M., Chen, L., Østergaard, S. & Stephansen, R. B. (2025). Modelling feed efficiency in dairy cows for selection and management decisions. I Book of Abstracts - 76th Annual Meeting of the European Federation of Animal Science (EAAP) (s. 362). Artikel Theatre 5.

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), Artikel 2452347. https://doi.org/10.1080/23311932.2025.2452347

Yin, H., Yang, L., Zhao, Q., Yao, W., Teng, J., Gao, Y., Xu, Z., Lin, Q., Diao, S., Liu, X., Zhao, F., Zhou, Z., Wang, Q., Li, J., Zhang, Z., Zhou, H., Groenen, M. A. M., Madsen, O., Bai, L. ... Li, K. (2025). Multi-dimensional annotation of porcine variants using genomic and epigenomic features in pigs. BMC Biology, 23(1), Artikel 188. https://doi.org/10.1186/s12915-025-02279-8

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. Artikel 63. https://doi.org/10.1038/s41437-024-00733-x

Laursen, S. F., Nielsen, H. M., Bahrndorff, S., Sahana, G., Sørensen, J. G., Kristensen, T. N. & Hansen, L. S. (2025). Multi-trait pedigree-based selective breeding to optimise farmed insects: Evidence from a house fly population. Journal of Insects as Food and Feed, 11(16), 3017-3032. https://doi.org/10.1163/23524588-bja10247

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), Artikel 24. https://doi.org/10.1186/s42523-025-00386-z

Stephansen, R. B., Jensen, J., Poulsen, B. G., Nielsen, U. S., Andersen, T., Rius-Vilarrasa, E., F. Fikse, W., Pösö, J., Lidauer, M. H., Negussie, E., Lassen, J. & von Unge, F. (2025). Nordic Genetic Evaluation of Feed Efficiency – Updated Model for Saved Feed in Nordic Dairy Cattle Breeds. I Proceedings of the 2025 Interbull Meeting (s. 224-230) https://journal.interbull.org/index.php/ib/issue/view/73/8

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

Kristensen, P. S., Chu, T. T., Sarup, P., Orabi, J., Mohlfeld, M., Jahoor, A. & Jensen, J. (2025). Optimizing hybrid rye breeding programs using simulations. 26. Abstract fra International Symposium on Rye Breeding and Genetics, Tartu, Estland. https://www.ryest2025.ee/userfiles/ryest2025/RYEST_abstract_book_2025_2.pdf

Tenhunen, S. R., Thomasen, J. R., Sørensen, L. P., Berg, P., Kargo, M., Nielsen, H. M. & Gorjanc, G. (2025). Optimizing Relatedness Penalties in Multi-Stage Optimal Contribution in Dairy Cattle Breeding Programs. I Book of Abstracts of the 76th Annual Meeting of the European Federation of Animal Science (Bind 39, s. 334)

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), Artikel e1012894. Advance online publication. https://doi.org/10.1371/journal.ppat.1012894

Berrandou, T. E., Cordina-Duverger, E., Mulot, C., Guizard, A. V., Schvartz, C., Laurent-Puig, P., Zidane, M., De Vathaire, F., Guénel, P. & Truong, T. (2025). Polymorphisms in circadian rhythm genes and the risk of differentiated thyroid cancer. Frontiers in Genetics, 16, Artikel 1539090. https://doi.org/10.3389/fgene.2025.1539090

Nielsen, B., Kristensen, P. S., Sarup, P., Bjarup, P. & Orabi, J. (2025). Power calculations for testing genetic correlation between pure- and mixture line effects in wheat breeding. I EUCARPIA Biometrics in Plant Breeding, September 2025 (s. 30) https://highlanderlab.github.io/EUCARPIA2025BiometricsPlantBreeding/assets/pdf/EUCARPIA_Programme_Booklet_web.pdf

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, Artikel 100953. https://doi.org/10.1016/j.atech.2025.100953

Buitenhuis, A. J., Noel, S. J., Sørensen, A. C., Christensen, O. F. & Knudsen, K. E. B. (2025). Prediction of feed nitrogen and energy digestibility in pigs using fecal based NIR spectroscopy. I Book of abstracts of the 76th Annual Meeting of the European Federation of Animal Science (EAAP) (s. 230). EAAP. https://docs.eaap.org/boa/2025_Innsbruck_EAAP_Book_Abstracts.pdf

Guillenea Golovanevsky, A. C., Cuyabano, B. C. D., Croiseau, P., Lund, M. S. & Karaman, E. (2025). QTL detection in multi-breed cattle populations including crossbred animals: a simulation study. Animal, 19(10), Artikel 101639. https://doi.org/10.1016/j.animal.2025.101639

Yousaf, M. F., Naeem, M. & Bakar Zia, M. A. (2025). QTL Mapping for Drought Tolerance in Vegetables. I U. K. Chaudhry, Z. N. Öztürk & A. F. Gökçe (red.), Drought Stress: Review and Recommendations (s. 369-392). Springer Nature. https://doi.org/10.1007/978-3-031-80610-0_14

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, Artikel 1560123. https://doi.org/10.3389/fpls.2025.1560123

Balding, D. J. & Speed, D. (2025). Recent Statistical Innovations in Human Genetics. Annals of Human Genetics, 89(5), 241-254. https://doi.org/10.1111/ahg.12606

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. Artikel 101478. https://doi.org/10.1016/j.animal.2025.101478

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Zaalberg, R. M., Andersen, L. B., Hansen, L. S., Gebreyesus, G., Henryon, M., Jensen, K. & Nielsen, H. M. (2025). Short communication: Substantial heritability of larval size in the black soldier fly reveals potential for selective breeding. ANIMAL, 19(6), Artikel 101534. https://doi.org/10.1016/j.animal.2025.101534

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Blicher-Mathiesen, G., Larsen, S. E., Rasmussen, J. J., Thorsen, M., Seidenfaden, I. K., Troldborg, L., Ondracek, M., ten Damme, L., Neumann Andersen3, M., Kratschmer, A. K., Lissner, E. S., Tornbjerg, H. & Thodsen, H. (2025). Tørkes betydning for kvælstofudledning, vandføring og biologi i vandløb: Perspektiver for klimasikring og forvaltning af vores vandressourcer. Aarhus University, DCE - Danish Centre for Environment and Energy. Videnskabelig rapport fra DCE - Nationalt Center for Miljø og Energi Nr. 646 https://dce.au.dk/fileadmin/dce.au.dk/Udgivelser/Videnskabelige_rapporter_600-699/SR646.pdf

Loft, A., Emont, M. P., Weinstock, A., Divoux, A., Ghosh, A., Wagner, A., Hertzel, A. V., Maniyadath, B., Deplancke, B., Liu, B., Scheele, C., Lumeng, C., Ding, C., Ma, C., Wolfrum, C., Strieder-Barboza, C., Li, C., Truong, D. D., Bernlohr, D. A. ... Rosen, E. D. (2025). Towards a consensus atlas of human and mouse adipose tissue at single-cell resolution. Nature Metabolism, 7(5), 875-894. https://doi.org/10.1038/s42255-025-01296-9

Ollivier, R., Robin, S., Galland, M., Shih, P. Y., Morlière, S., Paulmann, M. K., Gershenzon, J., Kunert, G., Pilet-Nayel, M. L., Simon, J. C. & Sugio, A. (2025). Transcriptomic analysis reveals candidate molecular pathways involved in pea (Pisum sativum L.) resistance to pea aphid (Acyrthosiphon pisum Harris) biotypes. BMC Genomics, 26(1), Artikel 580. https://doi.org/10.1186/s12864-025-11742-3

Gao, Y., Liu, G. E., Ma, L., Fang, L., Li, C. J. & Baldwin, R. L. (2025). Transcriptomic profiling of gastrointestinal tracts in dairy cattle during lactation reveals molecular adaptations for milk synthesis. Journal of Advanced Research. https://doi.org/10.1016/j.jare.2024.06.020

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