Biswas, D., Birkbak, N. J., Rosenthal, R., Hiley, C. T., Lim, E. L., Papp, K., Boeing, S., Krzystanek, M., Djureinovic, D., La Fleur, L., Greco, M., Döme, B., Fillinger, J., Brunnström, H., Wu, Y., Moore, D. A., Skrzypski, M., Abbosh, C., Litchfield, K. ... TRACERx Consortium (2019). A clonal expression biomarker associates with lung cancer mortality. Nature Medicine, 25(10), 1540-1548. https://doi.org/10.1038/s41591-019-0595-z

Coronado-Zamora, M., Salvador-Martınez, I., Castellano, D., Barbadilla, A. & Salazar-Ciudad, I. (2019). Adaptation and conservation throughout the drosophila melanogaster life-cycle. Genome Biology and Evolution, 11(5), 1463-1482. https://doi.org/10.1093/gbe/evz086

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

Satterstrom, F. K., Walters, R. K., Singh, T., Wigdor, E. M., Lescai, F., Demontis, D., Kosmicki, J. A., Grove, J., Stevens, C., Bybjerg-Grauholm, J., Bækvad-Hansen, M., Palmer, D. S., Maller, J. B., iPSYCH-Broad Consortium, Nordentoft, M., Mors, O., Robinson, E. B., Hougaard, D. M., Werge, T. M. ... Daly, M. J. (2019). Autism spectrum disorder and attention deficit hyperactivity disorder have a similar burden of rare protein-truncating variants. Nature Neuroscience, 22(12), 1961-1965. https://doi.org/10.1038/s41593-019-0527-8

Paternoster, V., Svanborg, M., Edhager, A. V., Rajkumar, A. P., Eickhardt, E. A., Pallesen, J., Grove, J., Qvist, P., Fryland, T., Wegener, G., Nyengaard, J. R., Mors, O., Palmfeldt, J., Børglum, A. D. & Christensen, J. H. (2019). Brain proteome changes in female Brd1+/- mice unmask dendritic spine pathology and show enrichment for schizophrenia risk. Neurobiology of Disease, 124, 479-488. https://doi.org/10.1016/j.nbd.2018.12.011

Griffiths, A. G., Moraga, R., Tausen, M., Gupta, V., Bilton, T. P., Campbell, M. A., Ashby, R., Nagy, I., Khan, A., Larking, A., Anderson, C., Franzmayr, B., Hancock, K., Scott, A., Ellison, N. W., Cox, M. P., Asp, T., Mailund, T., Schierup, M. H. & Andersen, S. U. (2019). Breaking Free: The Genomics of Allopolyploidy-Facilitated Niche Expansion in White Clover. The Plant Cell, 31(7), 1466-1487. https://doi.org/10.1105/tpc.18.00606

Pedersen, H. S., Liu, Y., Foldager, L., Callesen, H., Larsen, K. E. & Sørensen, M. T. (2019). Calibration of sperm concentration for in vitro fertilization in a mouse reprotoxicity model. Toxicology in Vitro, 55, 58-61. https://doi.org/10.1016/j.tiv.2018.11.009

Sun, C., Luecke, S., Bodda, C., Jønsson, K. L., Cai, Y., Zhang, B. C., Jensen, S. B., Nordentoft, I., Jensen, J. M., Jakobsen, M. R. & Paludan, S. R. (2019). Cellular Requirements for Sensing and Elimination of Incoming HSV-1 DNA and Capsids. Journal of Interferon and Cytokine Research, 39(4), 191-204. https://doi.org/10.1089/jir.2018.0141

Liu, Y., Pedersen, H. S., Larsen, K. E., Kristensen, K., Foldager, L., Callesen, H. & Sørensen, M. T. (2019). Combined in vitro fertilization and culture (IVF/IVC) in mouse for reprotoxicity assessment of xenobiotic exposure. Reproductive Toxicology, 89(October), 115-123. https://doi.org/10.1016/j.reprotox.2019.07.006

Castellano, D., Macià, M. C., Tataru, P., Bataillon, T. & Munch, K. (2019). Comparison of the Full Distribution of Fitness Effects of New Amino Acid Mutations Across Great Apes. Genetics, 213(3), 953-966. https://doi.org/10.1534/genetics.119.302494

Besenbacher, S., Hvilsom, C., Marques-Bonet, T., Mailund, T. & Schierup, M. H. (2019). Direct estimation of mutations in great apes reconciles phylogenetic dating. Nature Ecology & Evolution, 3(2), 286-292. https://doi.org/10.1038/s41559-018-0778-x

Demontis, D., Walters, R. K., Martin, J., Mattheisen, M., Als, T. D., Agerbo, E., Baldursson, G., Belliveau, R., Bybjerg-Grauholm, J., Bækvad-Hansen, M., Cerrato, F., Chambert, K., Churchhouse, C., Dumont, A., Eriksson, N., Gandal, M., Goldstein, J. I., Grasby, K. L., Grove, J. ... Børglum, A. D. (2019). Discovery of the first genome-wide significant risk loci for attention deficit/hyperactivity disorder. Nature Genetics, 51(1), 63–75. https://doi.org/10.1038/s41588-018-0269-7

Verhoef, E., Demontis, D., Burgess, S., Shapland, C. Y., Dale, P. S., Okbay, A., Neale, B. M., Faraone, S. V., iPSYCH-Broad-PGC ADHD Consortium & Dalsgaard, S. (2019). Disentangling polygenic associations between attention-deficit/hyperactivity disorder, educational attainment, literacy and language. Translational Psychiatry, 9(1), Article 35. https://doi.org/10.1038/s41398-018-0324-2

Schild, S.-L. A., Foldager, L., Bonde, M., Andersen, H. M.-L. & Pedersen, L. J. (2019). Does hut climate matter for piglet survival in organic production? Animal, 13(4), 826-834. https://doi.org/10.1017/S175173111800201X

Bechsgaard, J., Schou, M. F., Vanthournout, B., Hendrickx, F., Knudsen, B., Settepani, V., Schierup, M. H. & Bilde, T. (2019). Evidence for Faster X Chromosome Evolution in Spiders. Molecular Biology and Evolution, 36(6), 1281-1293. https://doi.org/10.1093/molbev/msz074

Foo, J. C., Streit, F., Frank, J., Treutlein, J., Baune, B. T., Moebus, S., Joeckel, K.-H., Forstner, A. J., Noethen, M. M., Rietschel, M., Sartorius, A., Kranaster, L. & Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium (Jakob Grove, member of -) (2019). Evidence for increased genetic risk load for major depression in patients assigned to electroconvulsive therapy. American Journal of Medical Genetics. Part B: Neuropsychiatric Genetics, 180(1), 35-45. https://doi.org/10.1002/ajmg.b.32700

Hübel, C., Gaspar, H. A., Coleman, J. R. I., Hanscombe, K. B., Purves, K., Prokopenko, I., Graff, M., Ngwa, J. S., Workalemahu, T., O’Reilly, P. F., Bulik, C. M., Breen, G., ADHD Working Group of the Psychiatric Genomics Consortium, Meta-Analyses of Glucose- and Insulin-related traits Consortium (MAGIC), Autism Working Group of the Psychiatric Genomics Consortium, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Eating Disorders Working Group of the Psychiatric Genomics Consortium, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, OCD & Tourette Syndrome Working Group of the Psychiatric Genomics Consortium ... International Headache Genetics Consortium (2019). Genetic correlations of psychiatric traits with body composition and glycemic traits are sex- and age-dependent. Nature Communications, 10(1), Article 5765. https://doi.org/10.1038/s41467-019-13544-0

Pettersson, E., Lichtenstein, P., Larsson, H., Song, J., Attention Deficit/Hyperactivity Disorder Working Group of the iPSYCH-Broad-PGC Consortium, Autism Spectrum Disorder Working Group of the iPSYCH-Broad-PGC Consortium, Bipolar Disorder Working Group of the PGC, Eating Disorder Working Group of the PGC, Major Depressive Disorder Working Group of the PGC, Obsessive Compulsive Disorders and Tourette Syndrome Working Group of the PGC, Schizophrenia CLOZUK, Substance Use Disorder Working Group of the PGC , Agrawal, A., Borglum, A. D., Bulik, C. M., Daly, M. J., Davis, L. K., Demontis, D., Edenberg, H. J., Grove, J., Gelernter, J., Neale, B. M., Pardiñas, A. F., Stahl, E., Walters, J. T. R., Walters, R. ... Polderman, T. J. C. (2019). Genetic influences on eight psychiatric disorders based on family data of 4 408 646 full and half-siblings, and genetic data of 333 748 cases and controls. Psychological Medicine, 49(7), 1166-1173. https://doi.org/10.1017/S0033291718002039

Pettersson, E., Lichtenstein, P., Larsson, H., Song, J., Attention Deficit/Hyperactivity Disorder Working Group of the iPSYCH-Broad-PGC Consortium, Autism Spectrum Disorder Working Group of the iPSYCH-Broad-PGC Consortium, Bipolar Disorder Working Group of the PGC, Eating Disorder Working Group of the PGC, Major Depressive Disorder Working Group of the PGC, Obsessive Compulsive Disorders and Tourette Syndrome Working Group of the PGC, Schizophrenia CLOZUK, Substance Use Disorder Working Group of the PGC , Agrawal, A., Børglum, A. D., Bulik, C. M., Daly, M. J., Davis, L. K., Demontis, D., Edenberg, H. J., Grove, J., Gelernter, J., Neale, B. M., Pardiñas, A. F., Stahl, E., Walters, J. T. R., Walters, R. ... Polderman, T. J. C. (2019). Genetic influences on eight psychiatric disorders based on family data of 4 408 646 full and half-siblings, and genetic data of 333 748 cases and controls - CORRIGENDUM. Psychological Medicine, 49(2), 351. https://doi.org/10.1017/S0033291718002945

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

Anorexia Nervosa Genetics Initiative (2019). Genome-wide association study identifies eight risk loci and implicates metabo-psychiatric origins for anorexia nervosa. Nature Genetics, 51(8), 1207-1214. https://doi.org/10.1038/s41588-019-0439-2

Demontis, D., Rajagopal, V. M., Thorgeirsson, T. E., Als, T. D., Grove, J., Leppälä, K., Gudbjartsson, D. F., Pallesen, J., Hjorthøj, C., Reginsson, G. W., Tyrfingsson, T., Runarsdottir, V., Qvist, P., Christensen, J. H., Bybjerg-Grauholm, J., Bækvad-Hansen, M., Huckins, L. M., Stahl, E. A., Timmermann, A. ... Børglum, A. D. (2019). Genome-wide association study implicates CHRNA2 in cannabis use disorder. Nature Neuroscience, 22, 1066-1074. https://doi.org/10.1038/s41593-019-0416-1

Howard, D. M., Adams, M. J., Clarke, T.-K., Hafferty, J. D., Gibson, J., Shirali, M., Coleman, J. R. I., Hagenaars, S. P., Ward, J., Wigmore, E. M., Alloza, C., Shen, X., Barbu, M. C., Xu, E. Y., Whalley, H. C., Marioni, R. E., Porteous, D. J., Davies, G., Deary, I. J. ... 23andMe Research Team (2019). Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions. Nature Neuroscience, 22(3), 343-352. https://doi.org/10.1038/s41593-018-0326-7

Hübel, C., Gaspar, H. A., Coleman, J. R. I., Finucane, H., Purves, K. L., Hanscombe, K. B., Prokopenko, I., Graff, M., Ngwa, J. S., Workalemahu, T., O'Reilly, P. F., Bulik, C. M., Breen, G., Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Tourette Syndrome/Obsessive-Compulsive Disorder Working Group of the Psychiatric Genomics Consortium, MAGIC Investigators & Eating Disorders Working Group of the Psychiatric Genomics Consortium (2019). Genomics of body fat percentage may contribute to sex bias in anorexia nervosa. American Journal of Medical Genetics. Part B: Neuropsychiatric Genetics, 180(6), 428-438. https://doi.org/10.1002/ajmg.b.32709

Thomsen, A. H., Leth, P. M., Hougen, H. P., Villesen, P. & Brink, O. (2019). Homicide in Denmark 1992–2016. Forensic Science International: Synergy, 1, 275-282. https://doi.org/10.1016/j.fsisyn.2019.07.001

Østergaard, S., Andersen, S., Sládecek, T. & Villesen, P. (2019). Hvornår får vi børn? – En historie om fødselsmønstre i et moderne samfund. Aktuel Naturvidenskab, 2019(5), 8-11. https://aktuelnaturvidenskab.dk/find-artikel/nyeste-numre/5-2019/

Walker, J. A., Jordan, V. E., Storer, J. M., Steely, C. J., Gonzalez-Quiroga, P., Beckstrom, T. O., Rewerts, L. C., St. Romain, C. P., Rockwell, C. E., Rogers, J., Jolly, C. J., Konkel, M. K., The Baboon Genome Analysis Consortium & Batzer, M. A. (2019). Alu insertion polymorphisms shared by Papio baboons and Theropithecus gelada reveal an intertwined common ancestry. Mobile DNA, 10(1), Article 46. https://doi.org/10.1186/s13100-019-0187-y

Grove, J., Ripke, S., Als, T. D., Mattheisen, M., Walters, R. K., Won, H., Pallesen, J., Agerbo, E., Andreassen, O. A., Anney, R., Awashti, S., Belliveau, R., Bettella, F., Buxbaum, J. D., Bybjerg-Grauholm, J., Bækvad-Hansen, M., Cerrato, F., Chambert, K., Christensen, J. H. ... Børglum, A. D. (2019). Identification of common genetic risk variants for autism spectrum disorder. Nature Genetics, 51(3), 431-444. https://doi.org/10.1038/s41588-019-0344-8

Refoyo-Martínez, A., da Fonseca, R. R., Halldórsdóttir, K., Árnason, E., Mailund, T. & Racimo, F. (2019). Identifying loci under positive selection in complex population histories. Genome Research, 29(9), 1506-1520. https://doi.org/10.1101/gr.246777.118

Castellano, D., Eyre-Walker, A. & Munch, K. (2019). Impact of mutation rate and selection at linked sites on DNA variation across the genomes of humans and other homininae. Genome Biology and Evolution, 12(1), 3550-3561. https://doi.org/10.1093/gbe/evz215

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., 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

Thomsen, P. T., Foldager, L., Raundal, P. & Capion, N. (2019). Lower odds of sole ulcers in the following lactation in dairy cows that received hoof trimming around drying off. Veterinary Journal, 254, Article 105408. https://doi.org/10.1016/j.tvjl.2019.105408

Juul, M., Madsen, T., Guo, Q., Bertl, J., Hobolth, A., Kellis, M. & Pedersen, J. S. (2019). ncdDetect2: Improved models of the site-specific mutation rate in cancer and driver detection with robust significance evaluation. Bioinformatics, 35(2), 189-199. https://doi.org/10.1093/bioinformatics/bty511

Poulsen, I., Balle, M. & Givard, K. L. (2019). Nociception Coma Scale–Revised: Nurses’ Experience in Clinical Practice. Pain Management Nursing, 20(6), 592-598. https://doi.org/10.1016/j.pmn.2019.02.003

Tataru, P. & Bataillon, T. (2019). polyDFEv2.0: testing for invariance of the distribution of fitness effects within and across species. Bioinformatics (Oxford, England), 35(16), 2868-2869. https://doi.org/10.1093/bioinformatics/bty1060

Anciaux, Y., Lambert, A., Ronce, O., Roques, L. & Martin, G. (2019). Population persistence under high mutation rate: From evolutionary rescue to lethal mutagenesis. Evolution, 73(8), 1517-1532. https://doi.org/10.1111/evo.13771

Raveane, A., Aneli, S., Montinaro, F., Athanasiadis, G., Barlera, S., Birolo, G., Boncoraglio, G., Di Blasio, A. M., Di Gaetano, C., Pagani, L., Parolo, S., Paschou, P., Piazza, A., Stamatoyannopoulos, G., Angius, A., Brucato, N., Cucca, F., Hellenthal, G., Mulas, A. ... Capelli, C. (2019). Population structure of modern-day Italians reveals patterns of ancient and archaic ancestries in Southern Europe. Science Advances, 5(9), Article eaaw3492. https://doi.org/10.1126/sciadv.aaw3492

Grelet, C., Vanlierde, A., Hostens, M., Foldager, L., Salavati, M., Ingvartsen, K. L., Crowe, M., Sorensen, M. T., Froidmont, E., Ferris, C. P., Marchitelli, C., Becker, F., Larsen, T., Carter, F., GplusE Consortium & Dehareng, F. (2019). Potential of milk mid-IR spectra to predict metabolic status of cows through blood components and an innovative clustering approach. Animal, 13(3), 649-658. https://doi.org/10.1017/S1751731118001751

De Koster, J., Salavati, M., Grelet, C., Crowe, M. A., Matthews, E., O'Flaherty, R., Opsomer, G., Foldager, L., GplusE Consortium & Hostens, M. (2019). Prediction of metabolic clusters in early lactation dairy cows using models based on milk biomarkers. Journal of Dairy Science, 102(3), 2631-2644. https://doi.org/10.3168/jds.2018-15533

Gruening, B., Sallou, O., Moreno, P., da Veiga Leprevost, F., Ménager, H., Søndergaard, D., Röst, H., Sachsenberg, T., O'connor, B., Madeira, F., Del Angel, V. D., Crusoe, M. R., Varma, S., Blankenberg, D., Jimenez, R. C., BioContainers Community & Perez-Riverol, Y. (2019). Recommendations for the packaging and containerizing of bioinformatics software: [version 2; peer review: 2 approved, 1 approved with reservations]. F1000Research, 7, Article 742. https://doi.org/10.12688/f1000research.15140.2