The origins and relatedness structure of mixed infections vary with local prevalence of P. falciparum malaria

Sha Joe Zhu; Jason A. Hendry; Jacob Almagro-Garcia; Richard D. Pearson; Roberto Amato; Alistair Miles; Daniel J. Weiss; Tim C.D. Lucas; Michele Nguyen; Peter W. Gething; Dominic Kwiatkowski; Gil McVean; for the Pf3k Project

doi:10.1101/387266

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The origins and relatedness structure of mixed infections vary with local prevalence of P. falciparum malaria

View ORCID ProfileSha Joe Zhu, Jason A. Hendry, Jacob Almagro-Garcia, Richard D. Pearson, Roberto Amato, Alistair Miles, Daniel J. Weiss, Tim C.D. Lucas, Michele Nguyen, Peter W. Gething, Dominic Kwiatkowski, View ORCID ProfileGil McVean, for the Pf3k Project

doi: https://doi.org/10.1101/387266

Sha Joe Zhu

1Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford

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ORCID record for Sha Joe Zhu

Jason A. Hendry

1Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford

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Jacob Almagro-Garcia

1Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford

2Wellcome Centre for Human Genetics, University of Oxford

3Medical Research Council Centre for Genomics and Global Health, University of Oxford

4Wellcome Sanger Institute

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Richard D. Pearson

2Wellcome Centre for Human Genetics, University of Oxford

3Medical Research Council Centre for Genomics and Global Health, University of Oxford

4Wellcome Sanger Institute

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Roberto Amato

2Wellcome Centre for Human Genetics, University of Oxford

3Medical Research Council Centre for Genomics and Global Health, University of Oxford

4Wellcome Sanger Institute

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Alistair Miles

1Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford

2Wellcome Centre for Human Genetics, University of Oxford

3Medical Research Council Centre for Genomics and Global Health, University of Oxford

4Wellcome Sanger Institute

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Daniel J. Weiss

1Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford

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Tim C.D. Lucas

1Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford

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Michele Nguyen

1Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford

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Peter W. Gething

1Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford

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Dominic Kwiatkowski

1Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford

2Wellcome Centre for Human Genetics, University of Oxford

3Medical Research Council Centre for Genomics and Global Health, University of Oxford

4Wellcome Sanger Institute

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Gil McVean

1Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford

3Medical Research Council Centre for Genomics and Global Health, University of Oxford

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ORCID record for Gil McVean
For correspondence: gil.mcvean@bdi.ox.ac.uk

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Posted August 09, 2018.

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The origins and relatedness structure of mixed infections vary with local prevalence of P. falciparum malaria

Sha Joe Zhu, Jason A. Hendry, Jacob Almagro-Garcia, Richard D. Pearson, Roberto Amato, Alistair Miles, Daniel J. Weiss, Tim C.D. Lucas, Michele Nguyen, Peter W. Gething, Dominic Kwiatkowski, Gil McVean, for the Pf3k Project

bioRxiv 387266; doi: https://doi.org/10.1101/387266

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