Dr Roberto Amato | Senior Staff Scientist

Amato, Roberto

I'm a population geneticists interested in the emergence and evolution of complex phenotypes in Plasmodium.

My current work is centred on the population genetics of malaria parasites, and in particular on the analysis of Plasmodium genomic diversity in natural settings. The primary focus is on the combination of theoretical and empirical methods to characterize and understand the evolution of the parasite and its clinical consequences such as the emergence of drug resistance. The ultimate goal is to create a framework where genomic data can be used to identify relevant changes in the parasite populations, to predict their evolutionary trajectory and, ultimately, to guide public health interventions.

Publications

  • Genetic markers associated with dihydroartemisinin-piperaquine failure in Plasmodium falciparum malaria in Cambodia: a genotype-phenotype association study.

    Amato R, Lim P, Miotto O, Amaratunga C, Dek D et al.

    The Lancet. Infectious diseases 2017;17;2;164-173

  • Genomic epidemiology of artemisinin resistant malaria.

    MalariaGEN Plasmodium falciparum Community Project

    eLife 2016;5

  • Genetic architecture of artemisinin-resistant Plasmodium falciparum.

    Miotto O, Amato R, Ashley EA, MacInnis B, Almagro-Garcia J et al.

    Nature genetics 2015;47;3;226-34

  • Genetic markers associated with dihydroartemisinin-piperaquine failure in Plasmodium falciparum malaria in Cambodia: a genotype-phenotype association study.

    Amato R, Lim P, Miotto O, Amaratunga C, Dek D et al.

    The Lancet. Infectious diseases 2017;17;2;164-173

  • THE REAL McCOIL: A method for the concurrent estimation of the complexity of infection and SNP allele frequency for malaria parasites.

    Chang HH, Worby CJ, Yeka A, Nankabirwa J, Kamya MR et al.

    PLoS computational biology 2017;13;1;e1005348

  • Genomic Analysis Reveals a Common Breakpoint in Amplifications of the Plasmodium vivax Multidrug Resistance 1 Locus in Thailand.

    Auburn S, Serre D, Pearson RD, Amato R, Sriprawat K et al.

    The Journal of infectious diseases 2016;214;8;1235-42

  • Estimating Geographical Variation in the Risk of Zoonotic Plasmodium knowlesi Infection in Countries Eliminating Malaria.

    Shearer FM, Huang Z, Weiss DJ, Wiebe A, Gibson HS et al.

    PLoS neglected tropical diseases 2016;10;8;e0004915

  • Genomic analysis of local variation and recent evolution in Plasmodium vivax.

    Pearson RD, Amato R, Auburn S, Miotto O, Almagro-Garcia J et al.

    Nature genetics 2016;48;8;959-964

  • Genomic epidemiology of artemisinin resistant malaria.

    MalariaGEN Plasmodium falciparum Community Project

    eLife 2016;5

  • Dihydroartemisinin-piperaquine resistance in Plasmodium falciparum malaria in Cambodia: a multisite prospective cohort study.

    Amaratunga C, Lim P, Suon S, Sreng S, Mao S et al.

    The Lancet. Infectious diseases 2016;16;3;357-65

  • Estimating the Ages of Selection Signals from Different Epochs in Human History.

    Nakagome S, Alkorta-Aranburu G, Amato R, Howie B, Peter BM et al.

    Molecular biology and evolution 2016;33;3;657-69

  • Genetic architecture of artemisinin-resistant Plasmodium falciparum.

    Miotto O, Amato R, Ashley EA, MacInnis B, Almagro-Garcia J et al.

    Nature genetics 2015;47;3;226-34

  • A network-based approach to dissect the cilia/centrosome complex interactome.

    Amato R, Morleo M, Giaquinto L, di Bernardo D and Franco B

    BMC genomics 2014;15;658

  • Spread of artemisinin resistance in Plasmodium falciparum malaria.

    Ashley EA, Dhorda M, Fairhurst RM, Amaratunga C, Lim P et al.

    The New England journal of medicine 2014;371;5;411-23

  • A genome wide association study of Plasmodium falciparum susceptibility to 22 antimalarial drugs in Kenya.

    Wendler JP, Okombo J, Amato R, Miotto O, Kiara SM et al.

    PloS one 2014;9;5;e96486

  • Simulating gene-gene and gene-environment interactions in complex diseases: Gene-Environment iNteraction Simulator 2.

    Pinelli M, Scala G, Amato R, Cocozza S and Miele G

    BMC bioinformatics 2012;13;132

  • Schizophrenia and vitamin D related genes could have been subject to latitude-driven adaptation.

    Amato R, Pinelli M, Monticelli A, Miele G and Cocozza S

    BMC evolutionary biology 2010;10;351

  • A novel approach to simulate gene-environment interactions in complex diseases.

    Amato R, Pinelli M, D'Andrea D, Miele G, Nicodemi M et al.

    BMC bioinformatics 2010;11;8

  • Genome-wide scan for signatures of human population differentiation and their relationship with natural selection, functional pathways and diseases.

    Amato R, Pinelli M, Monticelli A, Marino D, Miele G and Cocozza S

    PloS one 2009;4;11;e7927

Amato, Roberto
Roberto's Timeline
2017

Senior staff scientist at the Wellcome Trust Sanger Institute

2015

Staff scientist at the Wellcome Trust Sanger Institute

2012

Research associate at the Wellcome Trust Centre for Human Genetics - University of Oxford

PhD in Computational Biology

2011

Visiting student at the University of Chicago

2008

MSc in Computer Science