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Low coverage whole genome sequencing enables accurate assessment of common variants and calculation of genome-wide polygenic scores
Julian R. Homburger, Cynthia L. Neben, Gilad Mishne, Alicia Y. Zhou, Sekar Kathiresan, Amit V. Khera
doi: https://doi.org/10.1101/716977
Julian R. Homburger
1Color Genomics, 831 Mitten Road, Suite 100, Burlingame, CA, 94010 USA
Cynthia L. Neben
1Color Genomics, 831 Mitten Road, Suite 100, Burlingame, CA, 94010 USA
Gilad Mishne
1Color Genomics, 831 Mitten Road, Suite 100, Burlingame, CA, 94010 USA
Alicia Y. Zhou
1Color Genomics, 831 Mitten Road, Suite 100, Burlingame, CA, 94010 USA
Sekar Kathiresan
2Center for Genomic Medicine and Cardiology Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, 02114 USA
3Cardiovascular Disease Initiative of the Broad Institute of MIT and Harvard, Cambridge, MA, 02142 USA
4Harvard Medical School, Boston, MA, 02115 USA
Amit V. Khera
2Center for Genomic Medicine and Cardiology Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, 02114 USA
3Cardiovascular Disease Initiative of the Broad Institute of MIT and Harvard, Cambridge, MA, 02142 USA
4Harvard Medical School, Boston, MA, 02115 USA
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Posted September 06, 2019.
Low coverage whole genome sequencing enables accurate assessment of common variants and calculation of genome-wide polygenic scores
Julian R. Homburger, Cynthia L. Neben, Gilad Mishne, Alicia Y. Zhou, Sekar Kathiresan, Amit V. Khera
bioRxiv 716977; doi: https://doi.org/10.1101/716977
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