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Castellano, D. & Munch, K. (2020). Population Genomics in the Great Apes. In J. Y. Dutheil (Ed.), Methods in Molecular Biology (pp. 453-463). Springer. https://doi.org/10.1007/978-1-0716-0199-0_19
Feldman, M. & Christiansen, F. (1984). Population genetic theory of the cost of inbreeding. American Naturalist, 123, 642–653.
Feldman, M. W., Otto, S. P. & Christiansen, F. (1996). Population genetic perspectives on the evolution of recombination. Annual Review of Genetics, 49, 261-295.
Christiansen, F. (1990). Population consequences of genetic design in sexually reproducing organisms. In H. Mooney & G. Bernardi (Eds.), Introduction of Genetically Modified Organisms into the Environment (pp. 43-55). John Wiley & Sons Ltd.
Chalmer, M. A., Kogelman, L. J. A., Ullum, H., Sørensen, E., Didriksen, M., Mikkelsen, S., Dinh, K. M., Brodersen, T., Nielsen, K. R., Bruun, M. T., Banasik, K., Brunak, S., Erikstrup, C., Pedersen, O. B., Ostrowski, S. R., Olesen, J. & Hansen, T. F. (2023). Population-Based Characterization of Menstrual Migraine and Proposed Diagnostic Criteria. JAMA Network Open, 6(5), e2313235. Article e2313235. https://doi.org/10.1001/jamanetworkopen.2023.13235
Qian, Y., Kehr, B. & Halldorsson, B. V. (2015). PopAlu: population-scale detection of Alu polymorphisms. PeerJ, 3, Article 1269. https://doi.org/10.7717/peerj.1269
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
Ding, Y., Hou, K., Xu, Z., Pimplaskar, A., Petter, E., Boulier, K., Privé, F., Vilhjálmsson, B. J., Olde Loohuis, L. M. & Pasaniuc, B. (2023). Polygenic scoring accuracy varies across the genetic ancestry continuum. Nature, 618, 774-781. https://doi.org/10.1038/s41586-023-06079-4
Hayeck, T. J., Busby, G. B., Chun, S., Lewis, A. C. F., Roberts, M. C. & Vilhjálmsson, B. J. (2023). Polygenic Risk Scores: Genomes to Risk Prediction. Clinical Chemistry, 69(6), 551–557. https://doi.org/10.1093/clinchem/hvad049
Henches, L., Kim, J., Yang, Z., Rubinacci, S., Pires, G., Albiñana, C., Boetto, C., Julienne, H., Frouin, A., Auvergne, A., Suzuki, Y., Djebali, S., Delaneau, O., Ganna, A., Vilhjálmsson, B., Privé, F. & Aschard, H. (2025). Polygenic risk score prediction accuracy convergence. Human Genetics and Genomics Advances, 6(3), Article 100457. https://doi.org/10.1016/j.xhgg.2025.100457
Wang, X., Walker, A., Revez, J. A., Ni, G., Adams, M. J., McIntosh, A. M. & Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium (2023). Polygenic risk prediction: why and when out-of-sample prediction R2 can exceed SNP-based heritability. American Journal of Human Genetics, 110(7), 1207-1215. https://doi.org/10.1016/j.ajhg.2023.06.006
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
Musliner, K. L., Andersen, K. K., Agerbo, E., Albiñana, C., Vilhjalmsson, B. J., Rajagopal, V. M., Bybjerg-Grauholm, J., Bækved-Hansen, M., Pedersen, C. B., Pedersen, M. G., Munk-Olsen, T., Benros, M. E., Als, T. D., Grove, J., Werge, T., Børglum, A. D., Hougaard, D. M., Mors, O., Nordentoft, M. ... Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium (2023). Polygenic liability, stressful life events and risk for secondary-treated depression in early life: a nationwide register-based case-cohort study. Psychological Medicine, 53(1), 217-226. https://doi.org/10.1017/S0033291721001410
Miller, W., Schuster, S. C., Welch, A. J., Ratan, A., Bedoya-Reina, O. C., Zhao, F., Kim, H. L., Burhans, R. C., Drautz, D. I., Wittekindt, N. E., Tomsho, L. P., Ibarra-Laclette, E., Herrera-Estrella, L., Peacock, E., Farley, S., Sage, G. K., Rode, K., Obbard, M., Montiel, R. ... Lindqvist, C. (2012). Polar and brown bear genomes reveal ancient admixture and demographic footprints of past climate change. Proceedings of the National Academy of Sciences (PNAS). https://doi.org/10.1073/pnas.1210506109
Christiansen, F. (1987). Pleiotropy in dynamical parameters of models on the evolution of simple phenotypes. In V. Loeschcke (Ed.), Genetic Constraints on Adaptive Evolution (pp. 107-124). Springer.
Wernersson, R., Schierup, M. H., Jørgensen, F. G., Gorodkin, J., Panitz, F., Staerfeldt, HH., Christensen, O. F., Mailund, T., Hornshøj, H., Klein, A., Jun, W., Liu, B., Hu, S., Dong, W., Li, W., Wong, GK.-S., Yu, J., Wang, J., Bendixen, C. ... Bolund, L. (2005). Pigs in Sequence Space: A 0.66X Coverage Pig Genome Survey based on Shotgun Sequencing. BMC Genomics, 6(70). http://www.biomedcentral.com/1471-2164/6/70
Shao, Y., Zhou, L., Li, F., Zhao, L., Zhang, B. L., Shao, F., Chen, J. W., Chen, C. Y., Bi, X., Zhuang, X. L., Zhu, H. L., Hu, J., Sun, Z., Li, X., Wang, D., Rivas-González, I., Wang, S., Wang, Y. M., Chen, W. ... Wu, D. D. (2023). Phylogenomic analyses provide insights into primate evolution. Science (New York, N.Y.), 380(6648), 913-924. https://doi.org/10.1126/science.abn6919
Rolland, T., Cliquet, F., Anney, R. J. L., Moreau, C., Traut, N., Mathieu, A., Huguet, G., Duan, J., Warrier, V., Portalier, S., Dry, L., Leblond, C. S., Douard, E., Amsellem, F., Malesys, S., Maruani, A., Toro, R., Børglum, A. D., Grove, J. ... Bourgeron, T. (2023). Phenotypic effects of genetic variants associated with autism. Nature Medicine, 29(7), 1671-1680. https://doi.org/10.1038/s41591-023-02408-2
iPSYCH Consortium (2024). Phenotypic and ancestry-related assortative mating in autism. Molecular Autism, 15(1), 27. Article 27. https://doi.org/10.1186/s13229-024-00605-5
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
Watkins, T. B. K., Lim, E. L., Petkovic, M., Elizalde, S., Birkbak, N. J., Wilson, G. A., Moore, D. A., Grönroos, E., Rowan, A., Dewhurst, S. M., Demeulemeester, J., Dentro, S. C., Horswell, S., Au, L., Haase, K., Escudero, M., Rosenthal, R., Bakir, M. A., Xu, H. ... Swanton, C. (2020). Pervasive chromosomal instability and karyotype order in tumour evolution. Nature, 587, 126-132. https://doi.org/10.1038/s41586-020-2698-6
Andreasen, V. & Christiansen, F. (1989). Persistence of an infectious disease in a subdivided population. Mathematical Biosciences, 96, 239-253.
Jimenez Mena, B., Schad, K., Hanna, N. & Lacy, R. C. (2016). Pedigree analysis for the genetic management of group-living species. Ecology and Evolution, 6(10), 3067-3078. https://doi.org/10.1002/ece3.1831
Villesen, P. & Boomsma, JJ. (2003). Patterns of male parentage in the fungus-growing ants. Behavioral Ecology and Sociobiology, 53(4), 246-253.