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Identity-by-descent detection across 487,409 British samples reveals fine-scale population structure, evolutionary history, and trait associations
Juba Nait Saada, Georgios Kalantzis, Derek Shyr, Martin Robinson, Alexander Gusev, Pier Francesco Palamara
doi: https://doi.org/10.1101/2020.04.20.029819
Juba Nait Saada
1Department of Statistics, University of Oxford, Oxford, UK
Georgios Kalantzis
1Department of Statistics, University of Oxford, Oxford, UK
Derek Shyr
2Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
Martin Robinson
3Department of Computer Science, University of Oxford, Oxford, UK
Alexander Gusev
4Brigham & Women’s Hospital, Division of Genetics, Boston, MA 02215, USA
5Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
Pier Francesco Palamara
1Department of Statistics, University of Oxford, Oxford, UK
6Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
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Posted April 21, 2020.
Identity-by-descent detection across 487,409 British samples reveals fine-scale population structure, evolutionary history, and trait associations
Juba Nait Saada, Georgios Kalantzis, Derek Shyr, Martin Robinson, Alexander Gusev, Pier Francesco Palamara
bioRxiv 2020.04.20.029819; doi: https://doi.org/10.1101/2020.04.20.029819
Identity-by-descent detection across 487,409 British samples reveals fine-scale population structure, evolutionary history, and trait associations
Juba Nait Saada, Georgios Kalantzis, Derek Shyr, Martin Robinson, Alexander Gusev, Pier Francesco Palamara
bioRxiv 2020.04.20.029819; doi: https://doi.org/10.1101/2020.04.20.029819
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