Publications

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Hammami, H., Colinet, F. G., Bastin, C., Grelet, C., Vanlierde, A., Dehareng, F., Gengler, N. & GplusE Consortium (2017). Genetic analysis of milk MIR predicted blood and milk biomarkers linked to the physiological status. In Book of Abstracts of the 68th Annual Meeting of the European Federation of Animal Science (pp. 403-403). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-859-9

Tataru, P., Mollion, M., Glémin, S. & Bataillon, T. (2017). Inference of distribution of fitness effects and proportion of adaptive substitutions from polymorphism data. Genetics, 207(3), 1103-1119. https://doi.org/10.1534/genetics.117.300323

Salavati, M. & GplusE Consortium (2017). Investigating metabolic phenotypes in multiparous dairy cows by component analysis and clustering. In Book of Abstracts of the 68th Annual Meeting of the European Federation of Animal Science (pp. 404-404). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-859-9

Birkenkamp-Demtröder, K., Christensen, E., Nordentoft, I. K., Knudsen, M., Taber, A., Høyer, S., Lamy, P., Agerbæk, M., Jensen, J. B. & Dyrskjøt, L. (2017). Liquid Biopsies for monitoring treatment response and metastatic relapse in bladder cancer patients. Poster session presented at 1st Annual Research Meeting at the Department of Clinical Medicine, Aarhus, Denmark.

Mortensen, L. M., Lundbye-Christensen, S., Schmidt, E. B., Calder, P. C., Schierup, M. H., Tjønneland, A., Parner, E. T. & Overvad, K. (2017). Long-chain n-3 and n-6 polyunsaturated fatty acids and risk of atrial fibrillation: Results from a Danish cohort study. PLoS One, 12(12), e0190262. Article e0190262. https://doi.org/10.1371/journal.pone.0190262

Mailund, T. (2017). Metaprogramming in R: Advanced Statistical Programming for Data Science, Analysis and Finance . Apress.

Skov, L. (2017). Methods for analyzing genetic variation in modern and archaic humans.

Starnawski, P., Bataillon, T., Ettema, T. J. G., Jochum, L. M., Schreiber, L., Chen, X., Lever, M. A., Polz, M. F., Jørgensen, B. B., Schramm, A. & Kjeldsen, K. U. (2017). Microbial community assembly and evolution in subseafloor sediment. Proceedings of the National Academy of Sciences (PNAS), 114(11), 2940-2945. https://doi.org/10.1073/pnas.1614190114

Rasmussen, M. J., Bertl, J., Guo, Q., Nielsen, M. M., Świtnicki, M., Hornshøj, H., Madsen, T., Hobolth, A. & Pedersen, J. S. (2017). Non-coding cancer driver candidates identified with a sample- and position-specific model of the somatic mutation rate. eLife, 6, Article e21778. https://doi.org/10.7554/eLife.21778

Weiner, D. J., Wigdor, E. M., Ripke, S., Walters, R. K., Kosmicki, J. A., Grove, J., Samocha, K. E., Goldstein, J. I., Okbay, A., Bybjerg-Grauholm, J., Werge, T., Hougaard, D. M., Taylor, J., Skuse, D., Devlin, B., Anney, R., Sanders, S. J., Bishop, S., Mortensen, P. B. ... iPSYCH-Broad Autism Group (2017). Polygenic transmission disequilibrium confirms that common and rare variation act additively to create risk for autism spectrum disorders. Nature Genetics, 49(7), 978-985. https://doi.org/10.1038/ng.3863

Grelet, C., Vanlierde, A., Dehareng, F., Froidmont, E. & GplusE Consortium (2017). Prediction of energy status of dairy cows using MIR milk spectra. In Book of Abstracts of the 68th Annual Meeting of the European Federation of Animal Science (Vol. 23, pp. 403-403). Wageningen Academic Publishers.

Grelet, C., Vanlierde, A., Salavati, M., Hostens, M., Foldager, L., Dehareng, F. & GplusE Consortium (2017). Prediction of energy status of dairy cows using MIR milk spectra. Abstract from ICAR 2017, United Kingdom. http://www.icar.org/wp-content/uploads/2017/06/1.-Clement-Grelet.pdf

Søndergaard, D., Nielsen, S., Pedersen, C. N. S. & Besenbacher, S. (2017). Prediction of Primary Tumors in Cancers of Unknown Primary. Journal of integrative bioinformatics, 14(2). https://doi.org/10.1515/jib-2017-0013

Villesen, P. & Stride Nielsen, L. (2017). Profiling of cocaine using ratios of GC-MS peaks. Scientific Reports, 7(1), 11646. Article 11646. https://doi.org/10.1038/s41598-017-12042-x

Foldager, L. & GplusE Consortium (2017). Random forests prediction of blood metabolic clusters by milk metabolites and enzymes in dairy cows. In Book of Abstracts of the 68th Annual Meeting of the European Federation of Animal Science (pp. 402-402). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-859-9

Leppälä, K., Matala-aho, T. & Törmä, T. (2017). Rational approximations of the exponential function at rational points. Journal of Number Theory, 179, 220-239. https://doi.org/10.1016/j.jnt.2017.03.014

Athanasiadis, G. (2017). Recent migration and sample representativeness in a Danish genetic study. Annals of Human Biology, 44(5), 484-486. https://doi.org/10.1080/03014460.2017.1336253

Jensen, J. M. (2017). Reference free phasing and representation of complex variation.

Madsen, T. (2017). Robust statistical methods for significance evaluation and applications in cancer driver detection and biomarker discovery.

Bolvig, A. K., Nørskov, N., van Vliet, S., Foldager, L., Curtasu, M. V., Hedemann, M. S., Sørensen, J. F., Lærke, H. N. & Knudsen, K. E. B. (2017). Rye bran modified with cell wall-degrading enzymes influences the kinetics of plant lignans but not of enterolignans in multicatheterized pigs. Journal of Nutrition, 147(12), 2220-2227 . https://doi.org/10.3945/jn.117.258483

Maretty, L., Jensen, J. M., Petersen, B., Sibbesen, J. A., Liu, S., Villesen, P., Skov, L., Belling, K. C., Theil Have, C., Izarzugaza, J. M. G., Grosjean, M., Bork-Jensen, J., Grove, J., Als, T. D., Huang, S., Chang, Y., Xu, R., Ye, W., Rao, J. ... Schierup, M. H. (2017). Sequencing and de novo assembly of 150 genomes from Denmark as a population reference. Nature, 548(7665), 87-91. https://doi.org/10.1038/nature23264

Madsen, T., Hobolth, A., Jensen, J. L. & Pedersen, J. S. (2017). Significance evaluation in factor graphs. BMC Bioinformatics , 18(1), 199. Article 199. https://doi.org/10.1186/s12859-017-1614-z

Tataru, P., Simonsen, M., Bataillon, T. & Hobolth, A. (2017). Statistical Inference in the Wright–Fisher Model Using Allele Frequency Data. Systematic Biology, 66(1), e30-e46. https://doi.org/10.1093/sysbio/syw056

Kousholt, A., Ziegel, J., Kiderlen, M. & Jensen, E. B. V. (2017). Stereological estimation of mean particle volume tensors in R3 from vertical sections. In E. B. V. Jensen & M. Kiderlen (Eds.), Tensor Valuations and Their Applications in Stochastic Geometry and Imaging (Vol. 2177, pp. 423-434). Springer.

Lasry, C., Guillemot, V., Lechat, P., Menager, H., Vilhjalmsson, B. J. & Aschard, H. (2017). Summary Statistic GWAS Joint Re-Analyses Across 30+Traits. Genetic Epidemiology, 41(7), 652-652.

Gengler, N. & GplusE Consortium (2017). Targeted combination of estimated breeding values for lower accuracy mid-infrared biomarkers increases their usefulness in genetic evaluation of dairy cattle. Abstract from ICAR 2017, United Kingdom. http://www.icar.org/wp-content/uploads/2017/06/5.-Nicolas-Gengler-1.pdf

Benito, B. M., Svenning, J.-C., Kellberg-Nielsen, T., Riede, F., Gil-Romera, G., Mailund, T., Kjaergaard, P. C. & Sandel, B. S. (2017). The ecological niche and distribution of Neanderthals during the Last Interglacial. Journal of Biogeography, 44(1), 51–61. https://doi.org/10.1111/jbi.12845

Bolvig, A. K., Nørskov, N., Hedemann, M. S., Foldager, L., McCarthy-Sinclair, B., Marco, M., Lærke, H. N. & Knudsen, K. E. B. (2017). The effect of antibiotics and diet on enterolactone concentration and metabolome studied by targeted and non-targeted LC-MS metabolomics. Journal of Proteome Research, 16(6), 2135-2150. https://doi.org/10.1021/acs.jproteome.6b00942

Aagaard, J., Foldager, L., Makki, A., Hansen, V. & Müller-Nielsen, K. (2017). The efficacy of psychoeducation on recurrent depression: A randomised trial with a two-year follow-up. Nordic Journal of Psychiatry, 71(3), 223-229. https://doi.org/10.1080/08039488.2016.1266385

Hartfield, M., Bataillon, T. & Glemin, S. (2017). The Evolutionary Interplay between Adaptation and Self-Fertilization. Trends in Genetics, 33(6), 420-431. https://doi.org/10.1016/j.tig.2017.04.002

Bendtsen, K. L., Xu, K., Luckmann, M., Winther, K. S., Shah, S. A., Pedersen, C. N. S. & Brodersen, D. E. (2017). Toxin inhibition in C. crescentus VapBC1 is mediated by a flexible pseudo-palindromic protein motif and modulated by DNA binding. Nucleic Acids Research, 45(5), 2875-2886. https://doi.org/10.1093/nar/gkw1266

Duan, J., Sanggaard, K. W., Schauser, L., Lauridsen, S. E., Enghild, J. J., Schierup, M. H. & Wang, T. (2017). Transcriptome Analysis of the Response of Burmese Python to Digestion. GigaScience, 6(8), 1-51. Article gix057. https://doi.org/10.1093/gigascience/gix057

Sørensen, M. T. & GplusE Consortium (2017). Use of metabolic clusters predicted by milk metabolites and enzymes to identify potential risk cows. In Book of Abstracts of the 68th Annual Meeting of the European Federation of Animal Science (pp. 404-404). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-859-9

Stride Nielsen, L., Villesen, P. & Lindholst, C. (2017). Variation in chemical profiles within large seizures of cocaine bricks. Forensic Science International, 280, 194-199. https://doi.org/10.1016/j.forsciint.2017.10.007

Bailey, S. F., Blanquart, F., Bataillon, T. & Kassen, R. (2017). What drives parallel evolution? How population size and mutational variation contribute to repeated evolution. BioEssays, 39(1), 1-9. https://doi.org/10.1002/bies.201600176

Lescai, F., Als, T. D., Li, Q., Nyegaard, M., Andorsdottir, G., Biskopstø, M., Hedemand, A., Fiorentino, A., O'Brien, N. L., Jarram, A., Liang, T. J., Grove, J., Pallesen, J., Eickhardt, E., Mattheisen, M., Bolund, L., Demontis, D., Wang, A. G., McQuillin, A. ... Børglum, A. D. (2017). Whole-exome sequencing of individuals from an isolated population implicates rare risk variants in bipolar disorder. Translational Psychiatry, 7(2), e1034. Article 3. https://doi.org/10.1038/tp.2017.3

Malaspinas, A.-S., Westaway, M. C., Muller, C., Sousa, V. C., Lao, O., Alves, I., Athanasiadis, G., Cheng, J. Y., Crawford, J. E., Heupink, T. H., Macholdt, E., Peischl, S., Schiffels, S., Subramanian, S., Wright, J. L., Albrechtsen, A., Barbieri, C., Dupanloup, I., Eriksson, A. ... Willerslev, E. (2016). A genomic history of Aboriginal Australia. Nature, 538(7624), 207-214. https://doi.org/10.1038/nature18299

Nexø, B. A., Villesen, P., Nissen, K. K., Lindegaard, H. M., Rossing, P., Petersen, T., Tarnow, L., Hansen, B., Lorenzen, T., Hørslev-Petersen, K., Bisgaard Jensen, S., Bahrami, S., Lajer, M., Schmidt, K. L. M., Parving, H.-H., Junker, P. & Laska, M. J. (2016). Are human endogenous retroviruses triggers of autoimmune diseases? Unveiling associations of three diseases and viral loci. Immunologic Research, 64(1), 55-63. https://doi.org/10.1007/s12026-015-8671-z

Bataillon, T., Galtier, N., Bernard, A., Cryer, N. H. K., Faivre, N., Santoni, S., Severac, D., Mikkelsen, T., Larsen, K., Beier, C., Sørensen, J. G., Holmstrup, M. & Ehlers, B. (2016). A replicated climate change field experiment reveals rapid evolutionary response in an ecologically important soil invertebrate. Global Change Biology, 22(7), 2370-2379. https://doi.org/10.1111/gcb.13293

Aagaard, J., Buus, N., Wernlund, A. G., Foldager, L. & Merinder, L. (2016). Clinically useful predictors for premature mortality among psychiatric patients visiting a psychiatric emergency room. International Journal of Social Psychiatry, 62(5), 462-470. https://doi.org/10.1177/0020764016642490

Agrawal, A. F. & Hartfield, M. (2016). Coalescence with background and balancing selection in systems with Bi- and uniparental reproduction: Contrasting partial asexuality and selfing. Genetics, 202(1), 313-326. https://doi.org/10.1534/genetics.115.181024

Hartfield, M., Wright, S. I. & Agrawal, A. F. (2016). Coalescent times and patterns of genetic diversity in species with facultative sex: Effects of gene conversion, population structure, and heterogeneity. Genetics, 202(1), 297-312. https://doi.org/10.1534/genetics.115.178004

Nielsen, L. S., Lindholst, C. & Villesen, P. (2016). Cocaine classification using alkaloid and residual solvent profiling. Forensic Science International, 269, 42-49.

Søndergaard, D. A., Knudsen, M. & Pedersen, C. S. (2016). Computational Classification of P-Type ATPases. Methods in Molecular Biology, 1377, 493-502. https://doi.org/10.1007/978-1-4939-3179-8

Knudsen, M., Søndergaard, D. A., Tofting-Olesen, C., Hansen, F. T., Brodersen, D. E. & Pedersen, C. S. (2016). Computational discovery of specificity-conferring sites in non-ribosomal peptide synthetases. Bioinformatics, 32(3), 325-329. https://doi.org/10.1093/bioinformatics/btv600

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

Waltoft, B. L. (2016). Designs and Methods for Association Studies and Population Size Inference in Statistical Genetics. Aarhus Universitet.

Lucotte, E. A., Laurent, R., Heyer, E., Segurel, L. & Toupance, B. (2016). Detection of Allelic Frequency Differences between the Sexes in Humans: A Signature of Sexually Antagonistic Selection. Genome Biology and Evolution, 8(5), 1489-1500. https://doi.org/10.1093/gbe/evw090

Dahl-Pedersen, K., Foldager, L., Houe, H., Herskin, M. S. & Thomsen, P. T. (2016). Do farmers, veterinarians and livestock drivers agree when assessing dairy cow lameness and fitness for transport. In Abstracts book (pp. 161)

Castagnini, A., Foldager, L., Caffo, E. & Thomsen, P. H. (2016). Early-adult outcome of child and adolescent mental disorders as evidenced by a national-based case register survey. European Psychiatry, 38, 45-50. https://doi.org/10.1016/j.eurpsy.2016.04.005

Displaying results 551 to 600 out of 1378

Revised 13.01.2026

Palle Villesen