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Thuillet, A.-C., Bru, D., David, J., Roumet, P., Santoni, S., Sourdille, P. & Bataillon, T. (2002). Direct estimation of mutation rate for 10 microsatellite loci in durum wheat, Triticum turgidum (L.) Thell. ssp durum desf. Molecular Biology and Evolution, 19(1), 122-5.
Muyle, A., Martin, H., Zemp, N., Mollion, M., Gallina, S., Tavares, R., Silva, A., Bataillon, T., Widmer, A., Glémin, S., Touzet, P. & Marais, G. A. B. (2021). Dioecy Is Associated with High Genetic Diversity and Adaptation Rates in the Plant Genus Silene. Molecular Biology and Evolution, 38(3), 805-818. https://doi.org/10.1093/molbev/msaa229
Aagaard, L. & Villesen, P. (2004). Din indre virus - den gode, den onde og den helt ukendte Morgenavisen Jyllands-Posten, Indblik, 10.
Rajagopal, V. M., Duan, J., Vilar-Ribó, L., Grove, J., Zayats, T., Ramos-Quiroga, J. A., Satterstrom, F. K., Artigas, M. S., Bybjerg-Grauholm, J., Bækvad-Hansen, M., Als, T. D., Rosengren, A., Daly, M. J., Neale, B. M., Nordentoft, M., Werge, T., Mors, O., Hougaard, D. M., Mortensen, P. B. ... Demontis, D. (2022). Differences in the genetic architecture of common and rare variants in childhood, persistent and late-diagnosed attention-deficit hyperactivity disorder. Nature Genetics, 54(8), 1117-1124. https://doi.org/10.1038/s41588-022-01143-7
Henriksen, B. I. F., Rousing, T., Foldager, L. & Møller, S. H. (2024). Development of qualitative behavioural assessment of mink: Why is it hard to achieve high inter- and intra-observer agreement in QBA-scoring of mink? In Book of Abstracts of the 9th International Conference on the Welfare Assessment of Animals at Farm Level (WAFL) (pp. 44-44). Article Session 4; Poster 10 EAAP.
Hougaard, B. K., Madsen, L. H., Fredslund, J., Schauser, L., Nielsen, A. M., Sandal, N. N., Rohde, T., Jacobsen, R. H., Bertioli, D. J., Tohme, J., Blair, M. & Stougaard, J. (2006). Development of Legume Anchor Markers: a bioinformatic driven tool for genetic mapping and comparative genomics. Poster session presented at 7th European Nitrogen Fixation Conference, Aarhus, Denmark.
Hougaard, B. K., Madsen, L. H., Fredslund, J., Schauser, L., Nielsen, A. M., Sandal, N. N., Rohde, T., Jacobsen, R. H., Bertioli, D. J., Tohme, J., Blair, M. & Stougaard, J. (2006). Development of Legume Anchor Markers: a bioinformatic driven tool for genetic mapping and comparative genomics. Poster session presented at Crop Genomics, Trait Analysis and Breeding, Hinxton, United Kingdom.
Wang, K., Wiuf, C. & Bolund, L. (2007). Development of Bioinformatics Tools for Diagnostic Procedures Involving Array Analyses of Degenerative Disease Processes, presented at PhD Annual Day, Graduate School of Health, University of Aarhus.. Poster session presented at Development of Bioinformatics Tools for Diagnostic Procedures Involving Array Analyses of Degenerative Disease Processes, presented at PhD Annual Day, Graduate School of Health, University of Aarhus..
Boel, M. & Foldager, L. (2017). Development of a predictive algorithm for a pig farming decision support system. In P. Linde (Ed.), Symposium i Anvendt Statistik (pp. 123-123)
Fredslund, J. & Hein, J. (2003). Determining the Optimal Set of Indels Explaining the Gaps in a Multiple Alignment Using Affine Gap Cost Function. Poster session presented at International Conference on Research in Computational Molecular Biology (RECOMB 2003), Berlin, Germany.
Zhang, S., Ma, J., Riera Belles, M., Besenbacher, S., Niskanen, J. E., Salokorpi, N., Hundi, S., Hytönen, M. K., Zhou, T., Li, G.-M., Ostrander, E. A., Schierup, M. H., Lohi, H. & Wang, G.-D. (2025). Determinants of de novo mutations in extended pedigrees of 43 dog breeds. Genome Biology, 26(1), Article 305. https://doi.org/10.1186/s13059-025-03804-2
Lucotte, E. A., Albiñana, C., Laurent, R., Bhérer, C., Bataillon, T., Toupance, B. & Genome of the Netherland Consortium (2022). Detection of sexually antagonistic transmission distortions in trio datasets. Evolution Letters, 6(2), 203-216. https://doi.org/10.1002/evl3.271
Skov, L., Hui, R., Shchur, V., Hobolth, A., Scally, A., Schierup, M. H. & Durbin, R. (2018). Detecting archaic introgression using an unadmixed outgroup. PLoS Genetics, 14(9), Article e1007641. https://doi.org/10.1371/journal.pgen.1007641
Als, T. D., Kurki, M. I., Grove, J., Voloudakis, G., Therrien, K., Tasanko, E., Nielsen, T. T., Naamanka, J., Veerapen, K., Levey, D. F., Bendl, J., Bybjerg-Grauholm, J., Zeng, B., Demontis, D., Rosengren, A., Athanasiadis, G., Bækved-Hansen, M., Qvist, P., Bragi Walters, G. ... Børglum, A. D. (2023). Depression pathophysiology, risk prediction of recurrence and comorbid psychiatric disorders using genome-wide analyses. Nature Medicine, 29(7), 1832-1844. https://doi.org/10.1038/s41591-023-02352-1
Buttenschøn, H. N., Elfving, B., Foldager, L., Plougmann, P. H., Andersen, J. H., Bonde, J. P., Grynderup, M., Hansen, A. M., Kolstad, H., Kærgaard, A., Kærlev, L., Mikkelsen, S., Thomsen, J. F., Børglum, A., Wegener, G. & Mors, O. (2011). Depression og Val66Met polymorfien påvirker serum BDNF niveauet. Poster session presented at Psykiatriens 6. Forskningsdag, Risskov, Denmark.
Buttenschøn, H. N., Elfving, B., Foldager, L., Plougmann, P. H., Andersen, J. H., Grynderup, M. B., Kærgaard, A., Hansen, Å. M., Kolstad, H. A., Kærlev, L., Bonde, J. P., Mikkelsen, S., Thomsen, J. F., Børglum, A., Wegener, G. & Mors, O. (2013). Depression and BMI influences the serum vascular endothelial growth factor level. Poster session presented at XXIst World Congress of Psychiatric Genetics, Boston, United States.
Mapendano, C. K., Preker, P., Villesen, P., Prokop, A., Piatkowski, J., Schierup, M. H. & Jensen, T. H. (2011). Depletion of the RNA exosome triggers hypermethylation of human promoters.. Abstract from Third EMBO meeting on 'Chromatin and Epigenetics, Heidelberg, Germany.
Christiansen, F. B., Singh, R. S. (Ed.), Jain, S. (Ed.) & Uyenoyama, M. (Ed.) (2004). Density dependent selection. In The Evolution of Population Biology: Modern Synthesis (pp. 139-155). Cambridge University Press.
Zhang, C., Reid, K., Sands, A. F., Fraimout, A., Schierup, M. H. & Merilä, J. (2023). De Novo Mutation Rates in Sticklebacks. Molecular Biology and Evolution, 40(9), Article msad192. https://doi.org/10.1093/molbev/msad192
Li, R., Zhu, H., Ruan, J., Qian, W., Fang, X., Shi, Z., Li, Y., Li, S., Shan, G., Kristiansen, K., Li, S., Yang, H., Wang, J. & Wang, J. (2010). De novo assembly of human genomes with massively parallel short read sequencing. Genome Research, 20(2), 265-72. https://doi.org/10.1101/gr.097261.109
Lobon, I., Tucci, S., de Manuel, M., Ghirotto, S., Benazzo, A., Prado-Martinez, J., Lorente-Galdos, B., Nam, K., Dabad, M., Hernandez-Rodriguez, J., Comas, D., Navarro, A., Schierup, M. H., Andrés, A. M., Barbujani, G., Hvilsom, C. & Marques-Bonet, T. (2016). Demographic History of the Genus Pan Inferred from Whole Mitochondrial Genome Reconstructions. Genome Biology and Evolution, 8(6), 2020-2030. https://doi.org/10.1093/gbe/evw124
Schoen, D. J., David, J. L. & Bataillon, T. (1998). Deleterious mutation accumulation and the regeneration of genetic resources. Proceedings of the National Academy of Sciences (PNAS), 95(1), 394-9.
Natividad Avila, M., Jung, S., Satterstrom, F. K., Fu, J. M., Levy, T., Sloofman, L. G., Klei, L., Pichardo, T., Marquez, D., Stevens, C. R., Cusick, C. M., Ames, J. L., Campos, G. S., Cerros, H., Chaskel, R., Costa, C. I. S., Cuccaro, M. L., Lopez, A. D. P., Fernandez, M. ... The Autism Sequencing Consortium (ASC) (2026). Deleterious coding variation associated with autism is shared across ancestries. Nature Medicine, 32(4), 1519-1529. https://doi.org/10.1038/s41591-026-04228-6
Christiansen, F. (1984). Definition and measurement of fitness. In B. Shorrocks (Ed.), Evolutionary Ecology: 23rd Symposium of The British Ecological Society (pp. 65–79). Blackwell Science Ltd.
Mineur, A., Mota, R., Gengler, N., Vanderick, S., Hammami, H. & GplusE Consortium (2018). Defining and using novel milk composition based heat stress resilience traits in the context of genomic selection for more robust dairy cows in Wallonia. In J. Bryant, M. Burke, R. Cook, B. Harris, C. Mosconi & B. Wickham (Eds.), Proceedings of the ICAR Conference (Vol. 23, pp. 229-234) https://www.icar.org/wp-content/uploads/2018/07/ICAR-Technical-Series-23-Auckland-2018-Proceedings.pdf