MRC Centre for Genomics and Global Health (CGGH)

The CGGH accelerates the translation of large-scale genomic data into meaningful information and effective tools to combat infectious diseases that are endemic in the developing world.

Disease-causing parasites, viruses, bacteria are continually evolving to evade the human immune system, and resist the vaccines and drugs used against them. Genomics can inform disease surveillance efforts by revealing the origins of drug resistance, mapping hotspots and routes of spread, and providing a cost-effective and rapid means evaluate the impact of different public health interventions.

[MRC Centre for Genomics and Global Health]

Our work

Video resource: Malaria Drug Resistance and Genomics

At the CGGH, we're developing new methods to track evolutionary changes in pathogens, their hosts and vectors in near real-time by integrating genomic and population genetic data with clinical and epidemiological data. Working through a number of global collaborations, we are developing the necessary infrastructure - scientific, technical and institutional - to support the use of genomics as a tool in the fight against infectious diseases.

Our work is focused on three broad areas of research with related objectives:

  • Data science - Developing statistical and population genetic methods to understand genetic diversity and the evolution of pathogen and vector populations.
  • Networks - Learning about the global diversity of pathogen and vector populations through data-sharing networks.
  • Technology - Developing web-based tools and resources to gather and share genetic data.

Our community

Collaboration is central to our work and we are a diverse, multidisciplinary community. At the heart of our operations is an interdisciplinary team with members located across a number of institutions in the UK, Africa and Southeast Asia - primarily Oxford University, the Wellcome Trust Sanger Institute, and the MRC and Wellcome Trust overseas units. This core team acts a hub supporting our wider network of collaborators and data-sharing initiatives with active projects in more than 20 countries.

Selected publications

Visit our website for a list of publications that resulted from our research collaborations or, more broadly, were supported by the CGGH or are authored by CGGH members.

Web-based tools

Building on a tradition of web-based tools that includes LookSeq, ExplorerCat and MapSeq, we developed the MalariaGEN P. falciparum web application. This project informed and inspired Panoptes, a new software framework that can be rapidly deployed to create rich, interactive web applications for exploring genetic and genomic data, while also supporting a high level of customisation to suit the unique nature of particular datasets and projects.

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