bioRxiv preprint doi: https://doi.org/10.1101/2020.04.20.029819; this version posted April 21, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Identity-by-descent detection across 487,409 British samples reveals fine-scale population structure, evolutionary history, and trait associations Juba Nait Saada1,C, Georgios Kalantzis1, Derek Shyr2, Martin Robinson3, Alexander Gusev4,5,*, and Pier Francesco Palamara1,6,C,* 1Department of Statistics, University of Oxford, Oxford, UK. 2Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA. 3Department of Computer Science, University of Oxford, Oxford, UK. 4Brigham & Women’s Hospital, Division of Genetics, Boston, MA 02215, USA. 5Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA. 6Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK. *Co-supervised this work. CCorrespondence:
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[email protected] bioRxiv preprint doi: https://doi.org/10.1101/2020.04.20.029819; this version posted April 21, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 Abstract 2 Detection of Identical-By-Descent (IBD) segments provides a fundamental measure of genetic relatedness and plays a key 3 role in a wide range of genomic analyses.