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Leveraging distant relatedness to quantify human mutation and gene conversion rates

Pier Francesco Palamara, Laurent Francioli, Giulio Genovese, Peter Wilton, Alexander Gusev, Hilary Finucane, Sriram Sankararaman, The Genome of the Netherlands Consortium, Shamil Sunyaev, Paul I.W. de Bakker, John Wakeley, Itsik Pe’er, Alkes L. Price
doi: https://doi.org/10.1101/020776
Pier Francesco Palamara
Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, 02115, U.S.A.Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, 02142, U.S.A.
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  • For correspondence: ppalama@hsph.harvard.edu
Laurent Francioli
Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
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Giulio Genovese
Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, 02142, U.S.A.
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Peter Wilton
Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, 02138, U.S.A.
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Alexander Gusev
Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, 02115, U.S.A.Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, 02142, U.S.A.
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Hilary Finucane
Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, 02115, U.S.A.Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, 02142, U.S.A.
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Sriram Sankararaman
Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, 02142, U.S.A.Department of Genetics, Harvard Medical School, Boston, MA, 02115, U.S.A.
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Shamil Sunyaev
Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, 02142, U.S.A.Department of Genetics, Harvard Medical School, Boston, MA, 02115, U.S.A.
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Paul I.W. de Bakker
Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The NetherlandsDepartment of Medical Genetics, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
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John Wakeley
Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, 02138, U.S.A.
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Itsik Pe’er
Department of Computer Science, Columbia University, New York City, NY, 10027, U.S.A.
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Alkes L. Price
Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, 02115, U.S.A.Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, 02142, U.S.A.Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, 02115, U.S.A.
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Posted June 16, 2015.
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Leveraging distant relatedness to quantify human mutation and gene conversion rates
Pier Francesco Palamara, Laurent Francioli, Giulio Genovese, Peter Wilton, Alexander Gusev, Hilary Finucane, Sriram Sankararaman, The Genome of the Netherlands Consortium, Shamil Sunyaev, Paul I.W. de Bakker, John Wakeley, Itsik Pe’er, Alkes L. Price
bioRxiv 020776; doi: https://doi.org/10.1101/020776
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Leveraging distant relatedness to quantify human mutation and gene conversion rates
Pier Francesco Palamara, Laurent Francioli, Giulio Genovese, Peter Wilton, Alexander Gusev, Hilary Finucane, Sriram Sankararaman, The Genome of the Netherlands Consortium, Shamil Sunyaev, Paul I.W. de Bakker, John Wakeley, Itsik Pe’er, Alkes L. Price
bioRxiv 020776; doi: https://doi.org/10.1101/020776

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