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

Hartfield, M. (2018). Digest: Effects of spatially-spreading adaptive mutations on genome-wide diversity. Evolution, 72(4), 1015-1016. https://doi.org/10.1111/evo.13462

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

Lucotte, E. A., Skov, L., Jensen, J. M., Coll Macià, M., Munch, K. & Schierup, M. H. (2018). Dynamic Copy Number Evolution of X- and Y-Linked Ampliconic Genes in Human Populations. Genetics, 209(3), 907-920. https://doi.org/10.1534/genetics.118.300826

Hannon, E., Schendel, D., Ladd-Acosta, C., Grove, J., Hansen, C. S., Andrews, S. V., Hougaard, D. M., Bresnahan, M., Mors, O., Hollegaard, M. V., Bækvad-Hansen, M., Hornig, M., Mortensen, P. B., Børglum, A. D., Werge, T., Pedersen, M. G., Nordentoft, M., Buxbaum, J., Daniele Fallin, M. ... iPSYCH-Broad ASD Group (Mette Nyegaard, Per Qvist, Jane Hvarregaard Christensen - members of -) (2018). Elevated polygenic burden for autism is associated with differential DNA methylation at birth. Genome Medicine, 10(1), Article 19. https://doi.org/10.1186/s13073-018-0527-4

the iPSYCH-Broad autism group & the 23andMe Research Team (2018). Genome-wide analyses of self-reported empathy: Correlations with autism, schizophrenia, and anorexia nervosa. Translational Psychiatry, 8(1), Article 35. https://doi.org/10.1038/s41398-017-0082-6

Generation Scotland & Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium (2018). Genome-wide interaction study of a proxy for stress-sensitivity and its prediction of major depressive disorder. PLOS ONE, 13(12), Article e0209160. https://doi.org/10.1371/journal.pone.0209160

Ernst, E. H., Franks, S., Hardy, K., Villesen, P. & Lykke-Hartmann, K. (2018). Granulosa cells from human primordial and primary follicles show differential global gene expression profiles. Human Reproduction, 33(4), 666-679. https://doi.org/10.1093/humrep/dey011

Finucane, H. K., Reshef, Y. A., Anttila, V., Slowikowski, K., Gusev, A., Byrnes, A., Gazal, S., Loh, P.-R., Lareau, C., Shoresh, N., Genovese, G., Saunders, A., Macosko, E., Pollack, S., Brainstorm Consortium, Perry, J. R. B., Buenrostro, J. D., Bernstein, B. E., Raychaudhuri, S. ... Price, A. L. (2018). Heritability enrichment of specifically expressed genes identifies disease-relevant tissues and cell types. Nature Genetics, 50(4), 621-629. https://doi.org/10.1038/s41588-018-0081-4

Bailey, S. F., Guo, Q. & Bataillon, T. (2018). Identifying Drivers of Parallel Evolution: A Regression Model Approach. Genome Biology and Evolution, 10(10), 2801-2812. https://doi.org/10.1093/gbe/evy210

Feyera, T., Pedersen, T. F., Larsen, U. K., Foldager, L. & Theil, P. K. (2018). Impact of sow energy status during farrowing on farrowing kinetics, frequency of stillborn piglets, and farrowing assistance: Sow energy status and farrowing kinetics. Journal of Animal Science, 96(6), 2320–2331. Article 96. https://doi.org/10.1093/jas/sky141

Maier, R. M., Zhu, Z., Lee, S. H., Trzaskowski, M., Ruderfer, D. M., Stahl, E. A., Ripke, S., Wray, N. R., Yang, J., Visscher, P. M., Robinson, M. R., Forstner, A. J., Mcquillin, A., Trubetskoy, V., Wang, W., Wang, Y., Coleman, J. R. I., Gaspar, H. A., De Leeuw, C. A. ... Zammit, S. (2018). Improving genetic prediction by leveraging genetic correlations among human diseases and traits. Nature Communications, 9(1), Article 989. https://doi.org/10.1038/s41467-017-02769-6

Ehlers, B., Holmstrup, M., Schmidt, I. K., Sørensen, J. G. & Bataillon, T. (2018). Joint impact of competition, summer precipitation, and maternal effects on survival and reproduction in the perennial Hieracium umbellatum. Evolutionary Ecology, 32(5), 529-545. https://doi.org/10.1007/s10682-018-9953-4

Dahl-Pedersen, K., Foldager, L., Herskin, M. S., Houe, H. & Thomsen, P. T. (2018). Lameness scoring and assessment of fitness for transport in dairy cows: Agreement among and between farmers, veterinarians and livestock drivers. Research in Veterinary Science, 119, 162-166. https://doi.org/10.1016/j.rvsc.2018.06.017

Bjerg, J. T., Boschker, H. T. S., Larsen, S., Berry, D., Schmid, M., Millo, D., Tataru, P., Meysman, F. J. R., Wagner, M., Nielsen, L. P. & Schramm, A. (2018). Long-distance electron transport in individual, living cable bacteria. Proceedings of the National Academy of Sciences (PNAS), 115(22), 5786-5791. https://doi.org/10.1073/pnas.1800367115

Salvador-Martínez, I., Coronado-Zamora, M., Castellano, D., Barbadilla, A. & Salazar-Ciudad, I. (2018). Mapping selection within Drosophila melanogaster embryo's anatomy. Molecular Biology and Evolution, 35(1), 66-79. https://doi.org/10.1093/molbev/msx266

Birkenkamp-Demtröder, K., Christensen, E., Nordentoft, I. K., Knudsen, M., Taber, A., Høyer, S., Lamy, P., Agerbæk, M., Jensen, J. B. & Dyrskjøt, L. (2018). Monitoring treatment response and metastatic relapse in advanced bladder cancer by liquid biopsy analysis. European Urology, 73(4), 535-540. https://doi.org/10.1016/j.eururo.2017.09.011

Schumer, M., Xu, C., Powell, D. L., Durvasula, A., Skov, L., Holland, C., Blazier, J. C., Sankararaman, S., Andolfatto, P., Rosenthal, G. G. & Przeworski, M. (2018). Natural selection interacts with recombination to shape the evolution of hybrid genomes. Science, 360(6389), 656-660. https://doi.org/10.1126/science.aar3684

Castellano, D., James, J. & Eyre-Walker, A. (2018). Nearly Neutral Evolution across the Drosophila melanogaster Genome. Molecular Biology and Evolution, 35(11), 2685-2694. https://doi.org/10.1093/molbev/msy164

Waltoft, B. L. & Hobolth, A. (2018). Non-parametric estimation of population size changes from the site frequency spectrum. Statistical Applications in Genetics and Molecular Biology, 17(3), Article 20170061. https://doi.org/10.1515/sagmb-2017-0061

Rousselle, M., Mollion, M., Nabholz, B., Bataillon, T. & Galtier, N. (2018). Overestimation of the adaptive substitution rate in fluctuating populations. Biology Letters, 14(5), Article 20180055. https://doi.org/10.1098/rsbl.2018.0055

Hornshøj, H., Nielsen, M. M., Sinnott-Armstrong, N. A., Świtnicki, M. P., Juul, M., Madsen, T., Sallari, R., Kellis, M., Ørntoft, T., Hobolth, A. & Pedersen, J. S. (2018). Pan-cancer screen for mutations in non-coding elements with conservation and cancer specificity reveals correlations with expression and survival. npj Genomic Medicine, 3(1), 1. Article 40. https://doi.org/10.1038/s41525-017-0040-5

Mollion, M., Ehlers, B., Figuet, E., Santoni, S., Lenormand, T., Maurice, S., Galtier, N. & Bataillon, T. (2018). Patterns of genome-wide nucleotide diversity in the gynodioecious plant Thymus vulgaris are compatible with recent sweeps of cytoplasmic genes. Genome Biology and Evolution, 10(1), 239-248. https://doi.org/10.1093/gbe/evx272

Zheng, J., Richardson, T. G., Millard, L. A. C., Hemani, G., Elsworth, B. L., Raistrick, C. A., Vilhjalmsson, B., Neale, B. M., Haycock, P. C., Smith, G. D. & Gaunt, T. R. (2018). PhenoSpD: an integrated toolkit for phenotypic correlation estimation and multiple testing correction using GWAS summary statistics. GigaScience, 7(8), 1-10. https://doi.org/10.1093/gigascience/giy090

Ludvigsen, M., Bjerregård Pedersen, M., Lystlund Lauridsen, K., Svenstrup Poulsen, T., Hamilton-Dutoit, S. J., Besenbacher, S., Bendix, K., Møller, M. B., Nørgaard, P., d'Amore, F. & Honoré, B. (2018). Proteomic profiling identifies outcome-predictive markers in patients with peripheral T-cell lymphoma, not otherwise specified. Blood Advances, 2(19), 2533-2542. https://doi.org/10.1182/bloodadvances.2018019893

Nielsen, M. M., Tataru, P., Madsen, T., Hobolth, A. & Pedersen, J. S. (2018). Regmex: A statistical tool for exploring motifs in ranked sequence lists from genomics experiments. Algorithms for Molecular Biology, 13(1), Article 17. https://doi.org/10.1186/s13015-018-0135-2

Nielsen, L. S., Villesen, P. & Lindholst, C. (2018). Stability of amphetamine impurity profiles during 12 months of storage. Forensic Science International, 290, 129-136.

Thornton, L. M., Munn-Chernoff, M. A., Baker, J. H., Juréus, A., Parker, R., Henders, A. K., Larsen, J. T., Petersen, L., Watson, H. J., Yilmaz, Z., Kirk, K. M., Gordon, S., Leppä, V. M., Martin, F. C., Whiteman, D. C., Olsen, C. M., Werge, T. M., Pedersen, N. L., Kaye, W. ... Bulik, C. M. (2018). The anorexia nervosa genetics initiative (ANGI): Overview and methods. Contemporary Clinical Trials, 74, 61-69. https://doi.org/10.1016/j.cct.2018.09.015

Munch, D., Gupta, V., Bachmann, A., Busch, W., Kelly, S., Mun, T. & Andersen, S. U. (2018). The Brassicaceae family displays divergent, shoot-skewed NLR resistance gene expression. Plant Physiology, 176(2), 1598-1609. https://doi.org/10.1104/pp.17.01606

Fragata, I., Matuszewski, S., Schmitz, M. A., Bataillon, T., Jensen, J. D. & Bank, C. (2018). The fitness landscape of the codon space across environments. Heredity, 121(5), 422-437. https://doi.org/10.1038/s41437-018-0125-7

Pedersen, C. B., Bybjerg-Grauholm, J., Pedersen, M. G., Grove, J., Agerbo, E., Bækvad-Hansen, M., Poulsen, J. B., Hansen, C. S., McGrath, J. J., Als, T. D., Goldstein, J. I., Neale, B. M., Daly, M. J., Hougaard, D. M., Mors, O., Nordentoft, M., Børglum, A. D., Werge, T. & Mortensen, P. B. (2018). The iPSYCH2012 case-cohort sample: new directions for unravelling genetic and environmental architectures of severe mental disorders. Molecular Psychiatry, 23(1), 6–14. https://doi.org/10.1038/mp.2017.196

Kong, A., Thorleifsson, G., Frigge, M. L., Vilhjalmsson, B. J., Young, A. I., Thorgeirsson, T. E., Benonisdottir, S., Oddsson, A., Halldorsson, B. V., Masson, G., Gudbjartsson, D. F., Helgason, A., Bjornsdottir, G., Thorsteinsdottir, U. & Stefansson, K. (2018). The nature of nurture: Effects of parental genotypes. Science, 359(6374), 424-428. https://doi.org/10.1126/science.aan6877

Østergaard, S. D., Foldager, L., Mors, O., Bech, P. & Correll, C. U. (2018). The validity and sensitivity of PANSS-6 in treatment-resistant schizophrenia. Acta Psychiatrica Scandinavica, 138(5), 420-431. https://doi.org/10.1111/acps.12952

Østergaard, S. D., Foldager, L., Mors, O., Beck, P. & Correll, C. U. (2018). The validity and sensitivity of PANSS-6 in treatment-resistant schizophrenia. Schizophrenia Bulletin, 44(Suppl_1), S341-S342.

Ernst, E. H., Nielsen, J., Ipsen, M. B., Villesen, P. & Lykke-Hartmann, K. (2018). Transcriptome analysis of long non-coding RNAs and genes encoding paraspeckle proteins during human ovarian follicle development. Frontiers in Cell and Developmental Biology, 6(78), Article 78. https://doi.org/10.3389/fcell.2018.00078

Winge, S. B., Dalgaard, M. D., Belling, K. G., Jensen, J. M., Nielsen, J. E., Aksglaede, L., Schierup, M. H., Brunak, S., Skakkebæk, N. E., Juul, A., Rajpert-De Meyts, E. & Almstrup, K. (2018). Transcriptome analysis of the adult human Klinefelter testis and cellularity-matched controls reveals disturbed differentiation of Sertoli- and Leydig cells article. Cell Death and Disease, 9(6), Article 586. https://doi.org/10.1038/s41419-018-0671-1

Winge, S. B., Dalgaard, M. D., Jensen, J. M., Graem, N., Schierup, M. H., Juul, A., Rajpert-De Meyts, E. & Almstrup, K. (2018). Transcriptome profiling of fetal Klinefelter testis tissue reveals a possible involvement of long non-coding RNAs in gonocyte maturation. Human Molecular Genetics, 27(3), 430-439. https://doi.org/10.1093/hmg/ddx411

Bai, H., Guo, X., Narisu, N., Lan, T., Wu, Q., Xing, Y., Zhang, Y., Bond, S. R., Pei, Z., Zhang, Y., Zhang, D., Jirimutu, J., Zhang, D., Yang, X., Morigenbatu, M., Zhang, L., Ding, B., Guan, B., Cao, J. ... Yin, Y. (2018). Whole-genome sequencing of 175 Mongolians uncovers population-specific genetic architecture and gene flow throughout North and East Asia. Nature Genetics, 50(12), 1696–1704. https://doi.org/10.1038/s41588-018-0250-5

Murra, M., Lützen, L., Barut, A., Zbinden, R., Lund, M., Villesen, P. & Nørskov-Lauritsen, N. (2018). Whole-genome sequencing of aggregatibacter species isolated from human clinical specimens and description of Aggregatibacter kilianii sp. Nov. Journal of Clinical Microbiology, 56(7), Article UNSP e00053-18. https://doi.org/10.1128/JCM.00053-18

Leppälä, K., Nielsen, S. & Mailund, T. (2017). admixturegraph: an R package for admixture graph manipulation and fitting. Bioinformatics (Online), 33(11), 1738-1740. https://doi.org/10.1093/bioinformatics/btx048

Prüfer, K., de Filippo, C., Grote, S., Mafessoni, F., Korlević, P., Hajdinjak, M., Vernot, B., Skov, L., Hsieh, P., Peyrégne, S., Reher, D., Hopfe, C., Nagel, S., Maricic, T., Fu, Q., Theunert, C., Theunert, C., Rogers, R., Skoglund, P. ... Pääbo, S. (2017). A high-coverage Neandertal genome from Vindija Cave in Croatia. Science, 358(6363), 655-658. https://doi.org/10.1126/science.aao1887

Schrempf, D. & Hobolth, A. (2017). An alternative derivation of the stationary distribution of the multivariate neutral Wright–Fisher model for low mutation rates with a view to mutation rate estimation from site frequency data. Theoretical Population Biology, 114, 88-94. https://doi.org/10.1016/j.tpb.2016.12.001

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. P L o S Genetics (Online), 13(8), Article 1006834. https://doi.org/10.1371/journal.pgen.1006834