Publications

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Stahl, E. A., Breen, G., Forstner, A. J., McQuillin, A., Ripke, S., Trubetskoy, V., Mattheisen, M., Wang, Y., Coleman, J. R. I., Gaspar, H. A., de Leeuw, C. A., Steinberg, S., Pavlides, J. M. W., Trzaskowski, M., Byrne, E. M., Pers, T. H., Holmans, P. A., Richards, A. L., Abbott, L. ... eQTLGen Consortium (2019). Genome-wide association study identifies 30 loci associated with bipolar disorder. Nature Genetics, 51(5), 793-803. https://doi.org/10.1038/s41588-019-0397-8

Speed, D. & Balding, D. J. (2019). SumHer better estimates the SNP heritability of complex traits from summary statistics. Nature Genetics, 51(2), 277-284. https://doi.org/10.1038/s41588-018-0279-5

Speed, D., Hemani, G., Speed, M. S., Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium & Børglum, A. D. (2019). Investigating the causal relationship between neuroticism and depression via Mendelian Randomization. Acta Psychiatrica Scandinavica, 139(4), 395-397. https://doi.org/10.1111/acps.13009

Speed, M., Balding, D. J. & Hobolth, A. (2019). A general framework for moment-based analysis of genetic data. Journal of Mathematical Biology, 78(6), 1727-1769. https://doi.org/10.1007/s00285-018-01325-0

Speed, M. S., Jefsen, O. H., Børglum, A. D., Speed, D. & Østergaard, S. D. (2019). Investigating the association between body fat and depression via Mendelian randomization. Translational Psychiatry, 9(1), Article 184. https://doi.org/10.1038/s41398-019-0516-4

Speed, D., Holmes, J. & Balding, D. J. (2020). Evaluating and improving heritability models using summary statistics. Nature Genetics, 52(4), 458-462. https://doi.org/10.1038/s41588-020-0600-y

Soyeurt, H., Froidmont, E., Dufrasne, I., Wang, Z., Gengler, N., Dehareng, F., GplusE Consortium & Grelet, C. (2019). Validation of the prediction of body weight from dairy cow characteristics and milk MIR spectra. In Book of Abstracts of the 70th Annual Meeting of the European Federation of Animal Science (Vol. 25, pp. 606). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-890-2

Sørensen, F. J., Andersen, C. L. & Wiuf, C. (2007). SNPTools: A software tool for visualization and analysis of microarray data. Bioinformatics, 23(12), 1550-52. https://doi.org/10.1093/bioinformatics/btm122

Sørensen, H. J., Foldager, L., Røge, R., Pristed, S. G., Andreasen, J. T. & Nielsen, J. (2014). An association between autumn birth and clozapine treatment in patients with schizophrenia: A population-based analysis. Nordic Journal of Psychiatry, 68(6), 428-432. https://doi.org/10.3109/08039488.2013.854408

Sørensen, J. L., Knudsen, M., Hansen, F. T., Olesen, C., Romans Fuertes, P., Lee, T. V., Søndergaard, T. E., Pedersen, C. N. S., Brodersen, D. E. & Giese, H. (2014). Fungal NRPS-dependent siderophores: From function to prediction. In J.-F. Martin, C. Garcia-Estrada & S. Zeilinger (Eds.), Biosynthesis and Molecular Genetics of Fungal Secondary Metabolites (pp. 317-339). Springer. https://doi.org/10.1007/978-1-4939-1191-2_15

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

Sørensen, S. G., Shrikhande, A., Poulsgaard, G. A., Christensen, M. H., Bertl, J., Laursen, B. E., Hoffmann, E. R. & Pedersen, J. S. (2023). Pan-cancer association of DNA repair deficiencies with whole-genome mutational patterns. eLife, 12, Article e81224. https://doi.org/10.7554/elife.81224

Sørensen, E. F., Harris, R. A., Zhang, L., Raveendran, M., Kuderna, L. F. K., Walker, J. A., Storer, J. M., Kuhlwilm, M., Fontsere, C., Seshadri, L., Bergey, C. M., Burrell, A. S., Bergman, J., Phillips-Conroy, J. E., Shiferaw, F., Chiou, K. L., Chuma, I. S., Keyyu, J. D., Fischer, J. ... Rogers, J. (2023). Genome-wide coancestry reveals details of ancient and recent male-driven reticulation in baboons. Science (New York, N.Y.), 380(6648), Article eabn8153. https://doi.org/10.1126/science.abn8153

Sørensen, E. F. (2025). Autosomal and X-chromosomal analysis of admixture and diversity patterns show extensive selection against admixture, as well as depletion of diversity on chromosome X. [PhD thesis, Aarhus University].

Soraggi, S., Riera Belles, M., Rajpert-De Meyts, E., Schierup, M. H. & Almstrup, K. (2021). Evaluating genetic causes of azoospermia: What can we learn from a complex cellular structure and single-cell transcriptomics of the human testis? Human Genetics, 140(1), 183-201. https://doi.org/10.1007/s00439-020-02116-8

Soraggi, S., Rhodes, J., Altinkaya, I., Tarrant, O., Balloux, F., Fisher, M. C. & Fumagalli, M. (2022). HMMploidy: inference of ploidy levels from short-read sequencing data . Peer Community Journal, 2, Article e60. https://doi.org/10.24072/pcjournal.178

Sonntag, Y., Musgaard, M., Olesen, C., Schiøtt, B., Møller, J. V., Nissen, P. & Thøgersen, L. (2011). Mutual adaptation of a membrane protein and its lipid bilayer during conformational changes. Nature Communications, 2, 304. https://doi.org/10.1038/ncomms1307

Søndergaard, D., Knudsen, M. & Pedersen, C. N. S. (2014). Machine learning approaches to functional prediction of P-Type ATPases.

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

Søndergaard, D. & Pedersen, C. N. S. (2015). PATBox: A Toolbox for Classification and Analysis of P-Type ATPases. PLoS One, 10(9), Article e0139571. https://doi.org/10.1371/journal.pone.0139571

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

Søndergaard, D. A. (2018). Classification and analysis of biological data.

Sokač, M., Kjær, A., Dyrskjøt, L., Haibe-Kains, B., Jwl Aerts, H. & Birkbak, N. J. (2023). Spatial transformation of multi-omics data unlocks novel insights into cancer biology. eLife, 12, Article RP87133. https://doi.org/10.7554/eLife.87133

Sokac, M., Ahrenfeldt, J., Litchfield, K., Watkins, T. B. K., Knudsen, M., Dyrskjøt, L., Jakobsen, M. R. & Birkbak, N. J. (2022). Classifying cGAS-STING Activity Links Chromosomal Instability with Immunotherapy Response in Metastatic Bladder Cancer. Cancer Research Communications, 2(8), 762-771. https://doi.org/10.1158/2767-9764.CRC-22-0047, https://doi.org/10.1158/2767-9764.CRC-22-0047

Smit, R. A. J., Wade, K. H., Hui, Q., Arias, J. D., Yin, X., Christiansen, M. R., Yengo, L., Preuss, M. H., Nakabuye, M., Rocheleau, G., Graham, S. E., Buchanan, V. L., Chittoor, G., Graff, M., Guindo-Martínez, M., Lu, Y., Marouli, E., Sakaue, S., Spracklen, C. N. ... VA Million Veteran Program (2025). Polygenic prediction of body mass index and obesity through the life course and across ancestries. Nature Medicine, 31(9), 3151-3168. https://doi.org/10.1038/s41591-025-03827-z

Slotte, T., Bataillon, T., Hansen, T. T., St Onge, K., Wright, S. I. & Schierup, M. H. (2011). Genomic determinants of protein evolution and polymorphism in Arabidopsis. Genome Biology and Evolution, 3, 1210-1219. https://doi.org/10.1093/gbe/evr094

Skov, L., Schierup, M. H. & Danish Pan Genome Consortium (2017). Analysis of 62 hybrid assembled human Y chromosomes exposes rapid structural changes and high rates of gene conversion. PLoS Genetics, 13(8), Article e1006834. https://doi.org/10.1371/journal.pgen.1006834

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

Skov, L., Coll Macià, M., Sveinbjörnsson, G., Mafessoni, F., Lucotte, E. A., Einarsdóttir, M. S., Jonsson, H., Halldorsson, B., Gudbjartsson, D. F., Helgason, A., Schierup, M. H. & Stefansson, K. (2020). The nature of Neanderthal introgression revealed by 27,566 Icelandic genomes. Nature, 582(7810), 78-83. https://doi.org/10.1038/s41586-020-2225-9

Skov, L., Coll Macià, M., Lucotte, E. A., Cavassim, M. I. A., Castellano, D., Schierup, M. H. & Munch, K. (2023). Extraordinary selection on the human X chromosome associated with archaic admixture. Cell Genomics, 3(3), Article 100274. https://doi.org/10.1016/j.xgen.2023.100274

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

Skotte, L., Fadista, J., Bybjerg-Grauholm, J., Appadurai, V., Hildebrand, M. S., Hansen, T. F., Banasik, K., Grove, J., Albiñana, C., Geller, F., Bjurström, C. F., Vilhjálmsson, B. J., Coleman, M., Damiano, J. A., Burgess, R., Scheffer, I. E., Pedersen, O. B. V., Erikstrup, C., Westergaard, D. ... Feenstra, B. (2022). Genome-wide association study of febrile seizures implicates fever response and neuronal excitability genes. Brain : a journal of neurology, 145(2), 555–568. https://doi.org/10.1093/brain/awab260

Skakkebæk, A., Nielsen, M. M., Trolle, C., Vang, S., Hornshøj, H., Hedegaard, J., Wallentin, M., Bojesen, A., Hertz, J. M., Fedder, J., Østergaard, J. R., Pedersen, J. S. & Gravholt, C. H. (2018). DNA hypermethylation and differential gene expression associated with Klinefelter syndrome. Scientific Reports, 8(1), Article 13740. https://doi.org/10.1038/s41598-018-31780-0

Sjödin, P., Bataillon, T. & Schierup, M. H. (2010). Insertion and deletion processes in recent human history. PLoS One, 5(1), e8650. https://doi.org/10.1371/journal.pone.0008650

Siuda, I. & Thøgersen, L. (2013). Conformational flexibility of the leucine binding protein examined by protein domain coarse-grained molecular dynamics. Journal of Molecular Modeling, 19(11), 4931-4945. https://doi.org/10.1007/s00894-013-1991-9

Siuda, I. A. (2012). Modelling Protein Dynamics on the Microsecond Time Scale: Problems and Solutions. Aarhus University, Faculty of Science and Technology.

Singh, T., Poterba, T., Curtis, D., Akil, H., Al Eissa, M., Barchas, J. D., Bass, N., Bigdeli, T. B., Breen, G., Bromet, E. J., Buckley, P. F., Bunney, W. E., Bybjerg-Grauholm, J., Byerley, W. F., Chapman, S. B., Chen, W. J., Churchhouse, C., Craddock, N., Cusick, C. M. ... Daly, M. J. (2022). Rare coding variants in ten genes confer substantial risk for schizophrenia. Nature, 604(7906), 509-516. https://doi.org/10.1038/s41586-022-04556-w

Simonsen, M., Mailund, T. & Pedersen, C. S. (2008). Rapid Neighbour-Joining. In Proceedings of the 8th International Workshop on Algorithms in Bioinformatics (WABI) (pp. 113-122)

Simonsen, M., Mailund, T. & Pedersen, C. S. (2009). Building very large neighbour-joining trees. Poster session presented at 17th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB) & 8th European Conference on Computational Biology (ECCB), Stockholm, Sweden.

Simonsen, M., Mailund, T. & Pedersen, C. N. S. (2010). Building Very Large Neighbour-Joining Trees. In A. Fred, J. Filipe & H. Gamboa (Eds.), BIOINFORMATICS 2010: Proceedings of the First International Conference on Bioinformatics (part of the 3rd International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2010) (pp. 26). Institute for Systems and Technologies of Information, Control and Communication.

Simonsen, V. & Christiansen, F. (1985). Genetics of Zoarces populations XIV. Variation of the lactate dehydrogenase isoenzymes. Hereditas, 103, 177–185.

Simonsen, V. & Christiansen, F. (1984). Genetics of Zoarces populations XIII. Three loci determining isoenzymes of glutamic-oxaloacetic transaminase. Hereditas, 101, 129–136.

Simonsen, V. & Christiansen, F. (1981). Genetics of Zoarces populations XI. Inheritance of electrophoretic variants of the enzyme adenosine deaminase. Hereditas, 95, 289-294.

Simonsen, M., Sand, A., Mailund, T. & Pedersen, C. N. S. (2010). Using the Power of Modern Processors in Bioformatics. Poster session presented at Conference on IT research at AU, Århus, Denmark.

Simonsen, M., Mailund, T. & Pedersen, C. N. S. (2011). Inference of Large Phylogenies Using Neighbour-Joining. Biomedical Engineering Systems and Technologies, 127(5), 334-344. https://doi.org/10.1007/978-3-642-18472-7_26

Simonsen, M., Maetschke, S. R. & Ragan, M. A. (2012). Automatic selection of reference taxa for protein–protein interaction prediction with phylogenetic profiling. Bioinformatics, 28(6), 851-857. https://doi.org/10.1093/bioinformatics/btr720

Simonsen, M. & Pedersen, C. N. S. (2011). Rapid Computation of Distance Estimators from Nucleotide and Amino Acid Alignments. In Proceedings of the 26th Annual ACM Symposium on Applied Computing Association for Computing Machinery.

Simonsen, M., Thomsen, R., Christensen, M. H. & Pedersen, C. N. S. (2011). GPU-Accelerated High-Accuracy Molecular Docking using Guided Differential Evolution. In GECCO'11 Proceedings of the 13th annual conference on Genetic and evolutionary computation (pp. 1803-1810). Association for Computing Machinery. https://doi.org/10.1145/2001576.2001818

Simonsen, M., Maetschke, S. R. & Ragan, M. A. (2012). Automatic selection of reference taxa for protein-protein interaction prediction with phylogenetic profiling. Bioinformatics, 28(6), 851-857. https://doi.org/10.1093/bioinformatics/btr720

Simonsen, M., Christensen, M. H., Thomsen, R. & Pedersen, C. N. S. (2013). GPU-Accelerated High-Accuracy Molecular Docking using Guided Differential Evolution. In S. tsutsui & P. Collet (Eds.), Massively Parallel Evolutionary Computation on GPGPUs Springer Publishing Company.

Displaying results 201 to 250 out of 1384

Revised 13.01.2026

Palle Villesen