MRC Centre for Genomics and Global Health
Lead Research Organisation:
University of Oxford
Department Name: Wellcome Trust Centre for Human Genetics
Abstract
A major obstacle to the control of infectious disease is that pathogens and disease vectors are continually evolving. Epidemic disease outbreaks are one manifestation of this process. Another consequence is the progressive shift of endemic diseases towards forms that are more difficult to control. Increasing levels of resistance to drugs, vaccines and insecticides are threatening to destabilise and in some cases to ruin international efforts to reduce the burden of morbidity and mortality caused by malaria, tuberculosis, HIV, pneumococcus and other endemic diseases.
A fundamental dilemma in controlling endemic disease is that the whole purpose is to attack an established pathogen or vector population by all means possible, including large-scale public health interventions, but this strategy may backfire by creating a new evolutionary landscape that causes more virulent or resistant forms to emerge. There are many examples of control efforts that have reduced disease burden for a short period of time but have eventually led to the emergence of resistant pathogen strains and the rebound of disease in a less controllable form.
Pathogens do not recognise geographical boundaries, so it is essential that collaborating groups around the world can efficiently build, share and analyse large and complex datasets. This presents several challenges. Systems to integrate data across labs and field study sites working on the same disease are often lacking. Moreover, clinical and epidemiological researchers may lack the tools and training needed to make use of large-scale genome variation data, while genetics and genomics experts can lack the tools and data structures needed to make use of large-scale clinical and epidemiological data.
There is an urgent need for scientists who appreciate the challenge and have the necessary skill set to tackle this challenge.
The starting point for genomic surveillance is for researchers around the world to work together to identify common forms of variation in the global population. Parasites and insect vectors have large complex genomes that require advanced sequencing technologies and analytical methods. The Centre will develop statistical and population genetic methods to solve these analytical problems.
Capacity building is needed to enable researchers in resource-poor countries to participate and to develop leadership in this effort. The Centre will help to build data-sharing networks to characterise global patterns of genome variation.
Our translational goal is to provide web based tools to help disease control programmes.to plan and monitor the progress of their interventions. This requires changes in pathogen and vector populations to be captured at high spatial resolution and in near real time. The Centre will develop tools to enable groups in the field to do research on genetic micro-epidemiology.
To maximise the value of genome variation and population genetic data it needs to be integrated with other sources of information, such as epidemiological and ecological data, in an accessible format. The Centre will develop methods for collecting data from multiple sources to construct integrated maps of the different factors that determine disease transmission and the spread of resistance.
The Centre sets out to be an international centre of excellence in the field of genomic surveillance of infectious disease and identification of effective ways to use these new technologies to improve global health.
A fundamental dilemma in controlling endemic disease is that the whole purpose is to attack an established pathogen or vector population by all means possible, including large-scale public health interventions, but this strategy may backfire by creating a new evolutionary landscape that causes more virulent or resistant forms to emerge. There are many examples of control efforts that have reduced disease burden for a short period of time but have eventually led to the emergence of resistant pathogen strains and the rebound of disease in a less controllable form.
Pathogens do not recognise geographical boundaries, so it is essential that collaborating groups around the world can efficiently build, share and analyse large and complex datasets. This presents several challenges. Systems to integrate data across labs and field study sites working on the same disease are often lacking. Moreover, clinical and epidemiological researchers may lack the tools and training needed to make use of large-scale genome variation data, while genetics and genomics experts can lack the tools and data structures needed to make use of large-scale clinical and epidemiological data.
There is an urgent need for scientists who appreciate the challenge and have the necessary skill set to tackle this challenge.
The starting point for genomic surveillance is for researchers around the world to work together to identify common forms of variation in the global population. Parasites and insect vectors have large complex genomes that require advanced sequencing technologies and analytical methods. The Centre will develop statistical and population genetic methods to solve these analytical problems.
Capacity building is needed to enable researchers in resource-poor countries to participate and to develop leadership in this effort. The Centre will help to build data-sharing networks to characterise global patterns of genome variation.
Our translational goal is to provide web based tools to help disease control programmes.to plan and monitor the progress of their interventions. This requires changes in pathogen and vector populations to be captured at high spatial resolution and in near real time. The Centre will develop tools to enable groups in the field to do research on genetic micro-epidemiology.
To maximise the value of genome variation and population genetic data it needs to be integrated with other sources of information, such as epidemiological and ecological data, in an accessible format. The Centre will develop methods for collecting data from multiple sources to construct integrated maps of the different factors that determine disease transmission and the spread of resistance.
The Centre sets out to be an international centre of excellence in the field of genomic surveillance of infectious disease and identification of effective ways to use these new technologies to improve global health.
Technical Summary
Our approach is based on new sequencing technologies that are transforming the practice of microbiology in western countries. These technologies could potentially have a great impact on the control of parasitic, vector-borne and other endemic diseases of the developing world, but to realise this potential it is necessary to address some challenging scientific and practical problems:
[1] Parasites and insect vectors have much larger and more complex genomes than viruses and bacteria, and require more advanced sequencing technologies and analytical methods. High rates of genetic recombination and complex life-cycles create additional challenges. The Centre will develop statistical and population genetic methods to solve these analytical problems.
[2] The starting point for genomic surveillance is for researchers around the world to work together to identify common forms of variation in the global population. Capacity building is needed to enable researchers in resource-poor countries to participate and to develop leadership in this effort. The Centre will help to build data-sharing networks to characterise global patterns of genome variation.
[3] Our translational goal is to provide tools to help disease control programmes.to plan and monitor the progress of their interventions. This requires evolutionary changes in pathogen and vector populations to be captured at high spatial resolution and in near real time. The Centre will develop tools to enable groups in the field to do research on genetic micro-epidemiology.
[4] To maximise the value of genome variation and population genetic data it needs to be integrated with other sources of information, such as epidemiological and ecological data, in an accessible format. The Centre will develop methods for collecting data from multiple sources to construct integrated maps of the different factors that determine disease transmission and the spread of resistance.
[1] Parasites and insect vectors have much larger and more complex genomes than viruses and bacteria, and require more advanced sequencing technologies and analytical methods. High rates of genetic recombination and complex life-cycles create additional challenges. The Centre will develop statistical and population genetic methods to solve these analytical problems.
[2] The starting point for genomic surveillance is for researchers around the world to work together to identify common forms of variation in the global population. Capacity building is needed to enable researchers in resource-poor countries to participate and to develop leadership in this effort. The Centre will help to build data-sharing networks to characterise global patterns of genome variation.
[3] Our translational goal is to provide tools to help disease control programmes.to plan and monitor the progress of their interventions. This requires evolutionary changes in pathogen and vector populations to be captured at high spatial resolution and in near real time. The Centre will develop tools to enable groups in the field to do research on genetic micro-epidemiology.
[4] To maximise the value of genome variation and population genetic data it needs to be integrated with other sources of information, such as epidemiological and ecological data, in an accessible format. The Centre will develop methods for collecting data from multiple sources to construct integrated maps of the different factors that determine disease transmission and the spread of resistance.
Planned Impact
The Centre aims to have broad ranging influence
Improved methods and technologies for research:
The Centre will bring together existing expertise in large-scale epidemiology, genomic medicine, bioinformatics, and computer science to create an internationally leading centre of excellence for the analysis of large, complex, data sets for research into genome science, clinical and epidemiological research and the integration of these. The work of the Centre has the potential to extend the boundaries of these individual disciplines but, the greatest impact is likely to be achieved by close collaboration and working between disparate disciplines (e.g. computer science and epidemiology to develop new analytical tools for clinical, geographical and genetic science to better conduct and understand surveillance of malaria parasite diversity). The Centre will act as a focal point for fostering collaborative engagement with both national and international partners.
New advances in science: The expertise, methods and systems developed will provide big advances in the ability to understand disease mechanisms and will yield significant benefits for areas such as infectious disease surveillance & management, and the translation of genomics into routine medical practice. We intend to make our data, methods & tools widely available for scientific researchers.
Capacity building: The Centre sees training as a key part of its remit. Clinical and epidemiological researchers may lack the tools and training needed to make use of large-scale genome variation data, while genetics and genomics experts can lack the tools and data structures needed to make use of large-scale clinical and epidemiological data. We are working to overcome these challenges by establishing community standards for data sharing, and by developing web applications and statistical methods for analysis of large genomic and epidemiological datasets. This will be achieved by collaborative working across different disciplines and training individuals to lead integrated programmes of work in this area.
The Centre is supporting an African led research initiative, the Plasmodium Diversity Network, by providing financial support, training and management guidance. The Centre will work with them of the governance, financial and programme management structure required to establish such a network as well as providing training in data analysis for specific areas of their research goals. Members of the PDN will be expected to provide support internally and in addition, provide training to local investigators at their home institutions.
While not seeking financial support for studentships the Centre benefits from the training programmes available at the University of Oxford and the Wellcome Trust Sanger Institute and will be part of the new MRC Big Data Training Academy. The academy is being established under the University of Oxford Big Data Institute and will provide an extensive portfolio of training and development opportunities suitable for scientists at all stages of their career and readily accessible to external researchers. The Centre will take advantage of these available resources to establish a framework for PhD students (supported through other mechanisms) and scientists working in relevant areas.
Improved methods and technologies for research:
The Centre will bring together existing expertise in large-scale epidemiology, genomic medicine, bioinformatics, and computer science to create an internationally leading centre of excellence for the analysis of large, complex, data sets for research into genome science, clinical and epidemiological research and the integration of these. The work of the Centre has the potential to extend the boundaries of these individual disciplines but, the greatest impact is likely to be achieved by close collaboration and working between disparate disciplines (e.g. computer science and epidemiology to develop new analytical tools for clinical, geographical and genetic science to better conduct and understand surveillance of malaria parasite diversity). The Centre will act as a focal point for fostering collaborative engagement with both national and international partners.
New advances in science: The expertise, methods and systems developed will provide big advances in the ability to understand disease mechanisms and will yield significant benefits for areas such as infectious disease surveillance & management, and the translation of genomics into routine medical practice. We intend to make our data, methods & tools widely available for scientific researchers.
Capacity building: The Centre sees training as a key part of its remit. Clinical and epidemiological researchers may lack the tools and training needed to make use of large-scale genome variation data, while genetics and genomics experts can lack the tools and data structures needed to make use of large-scale clinical and epidemiological data. We are working to overcome these challenges by establishing community standards for data sharing, and by developing web applications and statistical methods for analysis of large genomic and epidemiological datasets. This will be achieved by collaborative working across different disciplines and training individuals to lead integrated programmes of work in this area.
The Centre is supporting an African led research initiative, the Plasmodium Diversity Network, by providing financial support, training and management guidance. The Centre will work with them of the governance, financial and programme management structure required to establish such a network as well as providing training in data analysis for specific areas of their research goals. Members of the PDN will be expected to provide support internally and in addition, provide training to local investigators at their home institutions.
While not seeking financial support for studentships the Centre benefits from the training programmes available at the University of Oxford and the Wellcome Trust Sanger Institute and will be part of the new MRC Big Data Training Academy. The academy is being established under the University of Oxford Big Data Institute and will provide an extensive portfolio of training and development opportunities suitable for scientists at all stages of their career and readily accessible to external researchers. The Centre will take advantage of these available resources to establish a framework for PhD students (supported through other mechanisms) and scientists working in relevant areas.
Organisations
- University of Oxford (Lead Research Organisation)
- Institute for Endemic Diseases IEND (Collaboration)
- Congo National Institute of Biomedical Research (Collaboration)
- Kwame Nkrumah University of Science and Technology (KNUST) (Collaboration)
- University of Michigan (Collaboration)
- Liverpool School of Tropical Medicine (Collaboration)
- The Wellcome Trust Sanger Institute (Collaboration)
- University of Colombo (Collaboration)
- University of Bamako (Collaboration)
- University of Buea (Collaboration)
- National Institute for Medical Research, Tanzania (Collaboration)
- Pasteur Institute Dakar (Collaboration)
- Stockholm University (Collaboration)
- Pasteur Institute, Paris (Collaboration)
- MURAZ Center (Collaboration)
- Cote D'Ivoire's National Institute of Public Health (Collaboration)
- Navrongo Health Research Centre (NHRC) (Collaboration)
- Medical Research Council (MRC) (Collaboration)
- Papua New Guinea Institute of Medical Research (Collaboration)
- University of Health Sciences, Gabon (Collaboration)
- Sapienza University of Rome (Collaboration)
- Wellcome Trust (Collaboration)
- Addis Ababa University (Collaboration)
- UNIVERSITY OF OXFORD (Collaboration)
- University of Maryland, College Park (Collaboration)
- Mahidol University (Collaboration)
- London School of Hygiene and Tropical Medicine (LSHTM) (Collaboration)
- Noguchi Memorial Institute for Medical Research (NMRR) (Collaboration)
- Pasteur Institute of Madagascar (Collaboration)
- University of Malawi (Collaboration)
Publications
Vauterin P
(2017)
Panoptes: web-based exploration of large scale genome variation data.
in Bioinformatics (Oxford, England)
Traore K
(2015)
Understandings of genomic research in developing countries: a qualitative study of the views of MalariaGEN participants in Mali.
in BMC medical ethics
Sinha I
(2020)
Mapping the travel patterns of people with malaria in Bangladesh.
in BMC medicine
Trimarsanto H
(2022)
A molecular barcode and web-based data analysis tool to identify imported Plasmodium vivax malaria
in Communications Biology
Stewart LB
(2020)
Intrinsic multiplication rate variation and plasticity of human blood stage malaria parasites.
in Communications biology
Description | WHO - Expert Group on drug resistance Pf in Greater Mekong subregion |
Geographic Reach | Multiple continents/international |
Policy Influence Type | Participation in a guidance/advisory committee |
Description | WHO - Technical Advisory Group on Genetic Epidemiology of Malaria |
Geographic Reach | Multiple continents/international |
Policy Influence Type | Participation in a guidance/advisory committee |
Description | WHO/GMP Expert Group on Pf. HRP2/3 deletions |
Geographic Reach | Multiple continents/international |
Policy Influence Type | Participation in a guidance/advisory committee |
URL | http://www.who.int/malaria/mpac/mpac-sept2016-hrp2-consultation-short-report-session7.pdf?ua=1 |
Description | GMS genetic epidemiology regional partnership |
Amount | $4,881,007 (USD) |
Funding ID | OPP1204628 |
Organisation | Bill and Melinda Gates Foundation |
Sector | Charity/Non Profit |
Country | United States |
Start | 11/2018 |
End | 11/2021 |
Description | Global Health Program |
Amount | $4,800,000 (USD) |
Funding ID | OPP1118166 |
Organisation | Bill and Melinda Gates Foundation |
Sector | Charity/Non Profit |
Country | United States |
Start | 01/2015 |
End | 10/2017 |
Description | MalariaGEN Software Development Support |
Amount | $13,854,455 (USD) |
Funding ID | INV-001927 |
Organisation | Bill and Melinda Gates Foundation |
Sector | Charity/Non Profit |
Country | United States |
Start | 02/2020 |
End | 11/2022 |
Description | NIHR Global Health Research Group on genomic surveillance of malaria in West Africa at the Wellcome Trust Sanger Institute |
Amount | £1,999,179 (GBP) |
Funding ID | 17/63/91 |
Organisation | National Institute for Health Research |
Sector | Public |
Country | United Kingdom |
Start | 03/2018 |
End | 03/2021 |
Description | Wellcome Trust Collaborative Award |
Amount | £3,989,275 (GBP) |
Funding ID | 204911/Z/16/Z |
Organisation | Wellcome Trust |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 03/2017 |
End | 09/2020 |
Description | Wellcome Trust Sanger Institute Malaria Programme |
Amount | £10,000,000 (GBP) |
Organisation | Wellcome Trust |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 08/2016 |
End | 09/2021 |
Title | Panoptes |
Description | Panoptes is an open source software framework for collaborative visual exploration of large scale genome variation data and associated metadata in a web browser. It can be used to browse large, hybrid data sets in a coherent and user friendly way, and offers interactive visual analytics tools to assist the exploration. |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2014 |
Provided To Others? | Yes |
Impact | Example deployment: http://www.malariagen.net/apps/pf3k |
URL | https://github.com/cggh/panoptes |
Description | Malaria Genomic Epidemiology Network (MalariaGEN) |
Organisation | Institute for Endemic Diseases IEND |
Country | Sudan |
Sector | Academic/University |
PI Contribution | I direct the MalariaGEN Resource Centre (http://www.malariagen.net/). CGGH supports Resource Centre activities, particularly statistics, software engineering, and ethics. |
Collaborator Contribution | MalariaGEN - the Malaria Genomic Epidemiology Network - is a community of more than 100 researchers in 30 countries, working together on projects that require sharing and integration of large amounts of data. MalariaGEN brings together the work of many different partner studies, each of which is led by an independent investigator and has its own scientific objectives. MalariaGEN adds value to partner studies by providing access to genotyping and sequencing technologies, and by providing a framework for sharing and integrating data in consortial and community projects. MalariaGEN provides training and support in genetic data analysis for researchers at partner institutions in malaria-endemic countries. We do this through a data bursary scheme and through an active programme of scientific meetings and training workshops. These activities are supported by the MalariaGEN Resource Centre which has a team of experts in statistics, population genetics and bioinformatics at the Sanger Institute, Oxford University, the London School of Hygiene and Tropical Medicine, and Mahidol University in Bangkok. There are many practical and ethical challenges involved in sharing data across a global network comprising investigators and institutions with great disparities in funding and infrastructure. The MalariaGEN community has been working to develop transparent procedures for ethics and governance. We have a governance committee and an independent data access committee, and network policies have been defined for data sharing and data access. |
Impact | See www.malariagen.net for data resources and web applications produced by the network. Major recent outputs include: Anopheles gambiae 1000 Genomes Consortium. Genetic diversity of the African malaria vector Anopheles gambiae. Nature 2017. 552:96-100. doi: 10.1038/nature24995. PMID:29186111 (Miles and Kwiatkowski are corresponding authors). This is the largest data resource on mosquito genome variation and population genetics. It identifies over 50 million SNPs, with evidence of ancient population expansions and recent bottlenecks, and strong selective sweeps of insecticide-resistance spreading over large geographical distances and between species. All the data were released open access as soon as available (www.malariagen.net/apps/ag1000g ) Leffler EM, Band G, Busby GBJ, Kivinen K, Le QS, Clarke GM, Bojang KA, Conway DJ, Jallow M, Sisay-Joof F, Bougouma EC, Mangano VD, Modiano D, Sirima SB, Achidi E, Apinjoh TO, Marsh K, Ndila CM, Peshu N, Williams TN, Drakeley C, Manjurano A, Reyburn H, Riley E, Kachala D, Molyneux M, Nyirongo V, Taylor T, Thornton N, Tilley L, Grimsley S, Drury E, Stalker J, Cornelius V, Hubbart C, Jeffreys AE, Rowlands K, Rockett KA, Spencer CCA, Kwiatkowski DP; Malaria Genomic Epidemiology Network. Resistance to malaria through structural variation of red blood cell invasion receptors. Science 2017. 356(6343). pii: eaam6393. doi: 10.1126/science.aam6393. PMID: 28522690. By combining GWAS data with genome sequence data from diverse African populations, we discovered a complex structural rearrangement involving the loss of GYPB and gain of two GYPB-A hybrid genes, which reduces the risk of severe malaria by 40%. These findings link structural variation of red blood cell invasion receptors with natural resistance to severe malaria. |
Description | Malaria Genomic Epidemiology Network (MalariaGEN) |
Organisation | Kwame Nkrumah University of Science and Technology (KNUST) |
Country | Ghana |
Sector | Academic/University |
PI Contribution | I direct the MalariaGEN Resource Centre (http://www.malariagen.net/). CGGH supports Resource Centre activities, particularly statistics, software engineering, and ethics. |
Collaborator Contribution | MalariaGEN - the Malaria Genomic Epidemiology Network - is a community of more than 100 researchers in 30 countries, working together on projects that require sharing and integration of large amounts of data. MalariaGEN brings together the work of many different partner studies, each of which is led by an independent investigator and has its own scientific objectives. MalariaGEN adds value to partner studies by providing access to genotyping and sequencing technologies, and by providing a framework for sharing and integrating data in consortial and community projects. MalariaGEN provides training and support in genetic data analysis for researchers at partner institutions in malaria-endemic countries. We do this through a data bursary scheme and through an active programme of scientific meetings and training workshops. These activities are supported by the MalariaGEN Resource Centre which has a team of experts in statistics, population genetics and bioinformatics at the Sanger Institute, Oxford University, the London School of Hygiene and Tropical Medicine, and Mahidol University in Bangkok. There are many practical and ethical challenges involved in sharing data across a global network comprising investigators and institutions with great disparities in funding and infrastructure. The MalariaGEN community has been working to develop transparent procedures for ethics and governance. We have a governance committee and an independent data access committee, and network policies have been defined for data sharing and data access. |
Impact | See www.malariagen.net for data resources and web applications produced by the network. Major recent outputs include: Anopheles gambiae 1000 Genomes Consortium. Genetic diversity of the African malaria vector Anopheles gambiae. Nature 2017. 552:96-100. doi: 10.1038/nature24995. PMID:29186111 (Miles and Kwiatkowski are corresponding authors). This is the largest data resource on mosquito genome variation and population genetics. It identifies over 50 million SNPs, with evidence of ancient population expansions and recent bottlenecks, and strong selective sweeps of insecticide-resistance spreading over large geographical distances and between species. All the data were released open access as soon as available (www.malariagen.net/apps/ag1000g ) Leffler EM, Band G, Busby GBJ, Kivinen K, Le QS, Clarke GM, Bojang KA, Conway DJ, Jallow M, Sisay-Joof F, Bougouma EC, Mangano VD, Modiano D, Sirima SB, Achidi E, Apinjoh TO, Marsh K, Ndila CM, Peshu N, Williams TN, Drakeley C, Manjurano A, Reyburn H, Riley E, Kachala D, Molyneux M, Nyirongo V, Taylor T, Thornton N, Tilley L, Grimsley S, Drury E, Stalker J, Cornelius V, Hubbart C, Jeffreys AE, Rowlands K, Rockett KA, Spencer CCA, Kwiatkowski DP; Malaria Genomic Epidemiology Network. Resistance to malaria through structural variation of red blood cell invasion receptors. Science 2017. 356(6343). pii: eaam6393. doi: 10.1126/science.aam6393. PMID: 28522690. By combining GWAS data with genome sequence data from diverse African populations, we discovered a complex structural rearrangement involving the loss of GYPB and gain of two GYPB-A hybrid genes, which reduces the risk of severe malaria by 40%. These findings link structural variation of red blood cell invasion receptors with natural resistance to severe malaria. |
Description | Malaria Genomic Epidemiology Network (MalariaGEN) |
Organisation | Liverpool School of Tropical Medicine |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | I direct the MalariaGEN Resource Centre (http://www.malariagen.net/). CGGH supports Resource Centre activities, particularly statistics, software engineering, and ethics. |
Collaborator Contribution | MalariaGEN - the Malaria Genomic Epidemiology Network - is a community of more than 100 researchers in 30 countries, working together on projects that require sharing and integration of large amounts of data. MalariaGEN brings together the work of many different partner studies, each of which is led by an independent investigator and has its own scientific objectives. MalariaGEN adds value to partner studies by providing access to genotyping and sequencing technologies, and by providing a framework for sharing and integrating data in consortial and community projects. MalariaGEN provides training and support in genetic data analysis for researchers at partner institutions in malaria-endemic countries. We do this through a data bursary scheme and through an active programme of scientific meetings and training workshops. These activities are supported by the MalariaGEN Resource Centre which has a team of experts in statistics, population genetics and bioinformatics at the Sanger Institute, Oxford University, the London School of Hygiene and Tropical Medicine, and Mahidol University in Bangkok. There are many practical and ethical challenges involved in sharing data across a global network comprising investigators and institutions with great disparities in funding and infrastructure. The MalariaGEN community has been working to develop transparent procedures for ethics and governance. We have a governance committee and an independent data access committee, and network policies have been defined for data sharing and data access. |
Impact | See www.malariagen.net for data resources and web applications produced by the network. Major recent outputs include: Anopheles gambiae 1000 Genomes Consortium. Genetic diversity of the African malaria vector Anopheles gambiae. Nature 2017. 552:96-100. doi: 10.1038/nature24995. PMID:29186111 (Miles and Kwiatkowski are corresponding authors). This is the largest data resource on mosquito genome variation and population genetics. It identifies over 50 million SNPs, with evidence of ancient population expansions and recent bottlenecks, and strong selective sweeps of insecticide-resistance spreading over large geographical distances and between species. All the data were released open access as soon as available (www.malariagen.net/apps/ag1000g ) Leffler EM, Band G, Busby GBJ, Kivinen K, Le QS, Clarke GM, Bojang KA, Conway DJ, Jallow M, Sisay-Joof F, Bougouma EC, Mangano VD, Modiano D, Sirima SB, Achidi E, Apinjoh TO, Marsh K, Ndila CM, Peshu N, Williams TN, Drakeley C, Manjurano A, Reyburn H, Riley E, Kachala D, Molyneux M, Nyirongo V, Taylor T, Thornton N, Tilley L, Grimsley S, Drury E, Stalker J, Cornelius V, Hubbart C, Jeffreys AE, Rowlands K, Rockett KA, Spencer CCA, Kwiatkowski DP; Malaria Genomic Epidemiology Network. Resistance to malaria through structural variation of red blood cell invasion receptors. Science 2017. 356(6343). pii: eaam6393. doi: 10.1126/science.aam6393. PMID: 28522690. By combining GWAS data with genome sequence data from diverse African populations, we discovered a complex structural rearrangement involving the loss of GYPB and gain of two GYPB-A hybrid genes, which reduces the risk of severe malaria by 40%. These findings link structural variation of red blood cell invasion receptors with natural resistance to severe malaria. |
Description | Malaria Genomic Epidemiology Network (MalariaGEN) |
Organisation | London School of Hygiene and Tropical Medicine (LSHTM) |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | I direct the MalariaGEN Resource Centre (http://www.malariagen.net/). CGGH supports Resource Centre activities, particularly statistics, software engineering, and ethics. |
Collaborator Contribution | MalariaGEN - the Malaria Genomic Epidemiology Network - is a community of more than 100 researchers in 30 countries, working together on projects that require sharing and integration of large amounts of data. MalariaGEN brings together the work of many different partner studies, each of which is led by an independent investigator and has its own scientific objectives. MalariaGEN adds value to partner studies by providing access to genotyping and sequencing technologies, and by providing a framework for sharing and integrating data in consortial and community projects. MalariaGEN provides training and support in genetic data analysis for researchers at partner institutions in malaria-endemic countries. We do this through a data bursary scheme and through an active programme of scientific meetings and training workshops. These activities are supported by the MalariaGEN Resource Centre which has a team of experts in statistics, population genetics and bioinformatics at the Sanger Institute, Oxford University, the London School of Hygiene and Tropical Medicine, and Mahidol University in Bangkok. There are many practical and ethical challenges involved in sharing data across a global network comprising investigators and institutions with great disparities in funding and infrastructure. The MalariaGEN community has been working to develop transparent procedures for ethics and governance. We have a governance committee and an independent data access committee, and network policies have been defined for data sharing and data access. |
Impact | See www.malariagen.net for data resources and web applications produced by the network. Major recent outputs include: Anopheles gambiae 1000 Genomes Consortium. Genetic diversity of the African malaria vector Anopheles gambiae. Nature 2017. 552:96-100. doi: 10.1038/nature24995. PMID:29186111 (Miles and Kwiatkowski are corresponding authors). This is the largest data resource on mosquito genome variation and population genetics. It identifies over 50 million SNPs, with evidence of ancient population expansions and recent bottlenecks, and strong selective sweeps of insecticide-resistance spreading over large geographical distances and between species. All the data were released open access as soon as available (www.malariagen.net/apps/ag1000g ) Leffler EM, Band G, Busby GBJ, Kivinen K, Le QS, Clarke GM, Bojang KA, Conway DJ, Jallow M, Sisay-Joof F, Bougouma EC, Mangano VD, Modiano D, Sirima SB, Achidi E, Apinjoh TO, Marsh K, Ndila CM, Peshu N, Williams TN, Drakeley C, Manjurano A, Reyburn H, Riley E, Kachala D, Molyneux M, Nyirongo V, Taylor T, Thornton N, Tilley L, Grimsley S, Drury E, Stalker J, Cornelius V, Hubbart C, Jeffreys AE, Rowlands K, Rockett KA, Spencer CCA, Kwiatkowski DP; Malaria Genomic Epidemiology Network. Resistance to malaria through structural variation of red blood cell invasion receptors. Science 2017. 356(6343). pii: eaam6393. doi: 10.1126/science.aam6393. PMID: 28522690. By combining GWAS data with genome sequence data from diverse African populations, we discovered a complex structural rearrangement involving the loss of GYPB and gain of two GYPB-A hybrid genes, which reduces the risk of severe malaria by 40%. These findings link structural variation of red blood cell invasion receptors with natural resistance to severe malaria. |
Description | Malaria Genomic Epidemiology Network (MalariaGEN) |
Organisation | MURAZ Center |
Country | Burkina Faso |
Sector | Academic/University |
PI Contribution | I direct the MalariaGEN Resource Centre (http://www.malariagen.net/). CGGH supports Resource Centre activities, particularly statistics, software engineering, and ethics. |
Collaborator Contribution | MalariaGEN - the Malaria Genomic Epidemiology Network - is a community of more than 100 researchers in 30 countries, working together on projects that require sharing and integration of large amounts of data. MalariaGEN brings together the work of many different partner studies, each of which is led by an independent investigator and has its own scientific objectives. MalariaGEN adds value to partner studies by providing access to genotyping and sequencing technologies, and by providing a framework for sharing and integrating data in consortial and community projects. MalariaGEN provides training and support in genetic data analysis for researchers at partner institutions in malaria-endemic countries. We do this through a data bursary scheme and through an active programme of scientific meetings and training workshops. These activities are supported by the MalariaGEN Resource Centre which has a team of experts in statistics, population genetics and bioinformatics at the Sanger Institute, Oxford University, the London School of Hygiene and Tropical Medicine, and Mahidol University in Bangkok. There are many practical and ethical challenges involved in sharing data across a global network comprising investigators and institutions with great disparities in funding and infrastructure. The MalariaGEN community has been working to develop transparent procedures for ethics and governance. We have a governance committee and an independent data access committee, and network policies have been defined for data sharing and data access. |
Impact | See www.malariagen.net for data resources and web applications produced by the network. Major recent outputs include: Anopheles gambiae 1000 Genomes Consortium. Genetic diversity of the African malaria vector Anopheles gambiae. Nature 2017. 552:96-100. doi: 10.1038/nature24995. PMID:29186111 (Miles and Kwiatkowski are corresponding authors). This is the largest data resource on mosquito genome variation and population genetics. It identifies over 50 million SNPs, with evidence of ancient population expansions and recent bottlenecks, and strong selective sweeps of insecticide-resistance spreading over large geographical distances and between species. All the data were released open access as soon as available (www.malariagen.net/apps/ag1000g ) Leffler EM, Band G, Busby GBJ, Kivinen K, Le QS, Clarke GM, Bojang KA, Conway DJ, Jallow M, Sisay-Joof F, Bougouma EC, Mangano VD, Modiano D, Sirima SB, Achidi E, Apinjoh TO, Marsh K, Ndila CM, Peshu N, Williams TN, Drakeley C, Manjurano A, Reyburn H, Riley E, Kachala D, Molyneux M, Nyirongo V, Taylor T, Thornton N, Tilley L, Grimsley S, Drury E, Stalker J, Cornelius V, Hubbart C, Jeffreys AE, Rowlands K, Rockett KA, Spencer CCA, Kwiatkowski DP; Malaria Genomic Epidemiology Network. Resistance to malaria through structural variation of red blood cell invasion receptors. Science 2017. 356(6343). pii: eaam6393. doi: 10.1126/science.aam6393. PMID: 28522690. By combining GWAS data with genome sequence data from diverse African populations, we discovered a complex structural rearrangement involving the loss of GYPB and gain of two GYPB-A hybrid genes, which reduces the risk of severe malaria by 40%. These findings link structural variation of red blood cell invasion receptors with natural resistance to severe malaria. |
Description | Malaria Genomic Epidemiology Network (MalariaGEN) |
Organisation | Mahidol University |
Country | Thailand |
Sector | Academic/University |
PI Contribution | I direct the MalariaGEN Resource Centre (http://www.malariagen.net/). CGGH supports Resource Centre activities, particularly statistics, software engineering, and ethics. |
Collaborator Contribution | MalariaGEN - the Malaria Genomic Epidemiology Network - is a community of more than 100 researchers in 30 countries, working together on projects that require sharing and integration of large amounts of data. MalariaGEN brings together the work of many different partner studies, each of which is led by an independent investigator and has its own scientific objectives. MalariaGEN adds value to partner studies by providing access to genotyping and sequencing technologies, and by providing a framework for sharing and integrating data in consortial and community projects. MalariaGEN provides training and support in genetic data analysis for researchers at partner institutions in malaria-endemic countries. We do this through a data bursary scheme and through an active programme of scientific meetings and training workshops. These activities are supported by the MalariaGEN Resource Centre which has a team of experts in statistics, population genetics and bioinformatics at the Sanger Institute, Oxford University, the London School of Hygiene and Tropical Medicine, and Mahidol University in Bangkok. There are many practical and ethical challenges involved in sharing data across a global network comprising investigators and institutions with great disparities in funding and infrastructure. The MalariaGEN community has been working to develop transparent procedures for ethics and governance. We have a governance committee and an independent data access committee, and network policies have been defined for data sharing and data access. |
Impact | See www.malariagen.net for data resources and web applications produced by the network. Major recent outputs include: Anopheles gambiae 1000 Genomes Consortium. Genetic diversity of the African malaria vector Anopheles gambiae. Nature 2017. 552:96-100. doi: 10.1038/nature24995. PMID:29186111 (Miles and Kwiatkowski are corresponding authors). This is the largest data resource on mosquito genome variation and population genetics. It identifies over 50 million SNPs, with evidence of ancient population expansions and recent bottlenecks, and strong selective sweeps of insecticide-resistance spreading over large geographical distances and between species. All the data were released open access as soon as available (www.malariagen.net/apps/ag1000g ) Leffler EM, Band G, Busby GBJ, Kivinen K, Le QS, Clarke GM, Bojang KA, Conway DJ, Jallow M, Sisay-Joof F, Bougouma EC, Mangano VD, Modiano D, Sirima SB, Achidi E, Apinjoh TO, Marsh K, Ndila CM, Peshu N, Williams TN, Drakeley C, Manjurano A, Reyburn H, Riley E, Kachala D, Molyneux M, Nyirongo V, Taylor T, Thornton N, Tilley L, Grimsley S, Drury E, Stalker J, Cornelius V, Hubbart C, Jeffreys AE, Rowlands K, Rockett KA, Spencer CCA, Kwiatkowski DP; Malaria Genomic Epidemiology Network. Resistance to malaria through structural variation of red blood cell invasion receptors. Science 2017. 356(6343). pii: eaam6393. doi: 10.1126/science.aam6393. PMID: 28522690. By combining GWAS data with genome sequence data from diverse African populations, we discovered a complex structural rearrangement involving the loss of GYPB and gain of two GYPB-A hybrid genes, which reduces the risk of severe malaria by 40%. These findings link structural variation of red blood cell invasion receptors with natural resistance to severe malaria. |
Description | Malaria Genomic Epidemiology Network (MalariaGEN) |
Organisation | Medical Research Council (MRC) |
Department | MRC Unit, The Gambia |
Country | Gambia |
Sector | Public |
PI Contribution | I direct the MalariaGEN Resource Centre (http://www.malariagen.net/). CGGH supports Resource Centre activities, particularly statistics, software engineering, and ethics. |
Collaborator Contribution | MalariaGEN - the Malaria Genomic Epidemiology Network - is a community of more than 100 researchers in 30 countries, working together on projects that require sharing and integration of large amounts of data. MalariaGEN brings together the work of many different partner studies, each of which is led by an independent investigator and has its own scientific objectives. MalariaGEN adds value to partner studies by providing access to genotyping and sequencing technologies, and by providing a framework for sharing and integrating data in consortial and community projects. MalariaGEN provides training and support in genetic data analysis for researchers at partner institutions in malaria-endemic countries. We do this through a data bursary scheme and through an active programme of scientific meetings and training workshops. These activities are supported by the MalariaGEN Resource Centre which has a team of experts in statistics, population genetics and bioinformatics at the Sanger Institute, Oxford University, the London School of Hygiene and Tropical Medicine, and Mahidol University in Bangkok. There are many practical and ethical challenges involved in sharing data across a global network comprising investigators and institutions with great disparities in funding and infrastructure. The MalariaGEN community has been working to develop transparent procedures for ethics and governance. We have a governance committee and an independent data access committee, and network policies have been defined for data sharing and data access. |
Impact | See www.malariagen.net for data resources and web applications produced by the network. Major recent outputs include: Anopheles gambiae 1000 Genomes Consortium. Genetic diversity of the African malaria vector Anopheles gambiae. Nature 2017. 552:96-100. doi: 10.1038/nature24995. PMID:29186111 (Miles and Kwiatkowski are corresponding authors). This is the largest data resource on mosquito genome variation and population genetics. It identifies over 50 million SNPs, with evidence of ancient population expansions and recent bottlenecks, and strong selective sweeps of insecticide-resistance spreading over large geographical distances and between species. All the data were released open access as soon as available (www.malariagen.net/apps/ag1000g ) Leffler EM, Band G, Busby GBJ, Kivinen K, Le QS, Clarke GM, Bojang KA, Conway DJ, Jallow M, Sisay-Joof F, Bougouma EC, Mangano VD, Modiano D, Sirima SB, Achidi E, Apinjoh TO, Marsh K, Ndila CM, Peshu N, Williams TN, Drakeley C, Manjurano A, Reyburn H, Riley E, Kachala D, Molyneux M, Nyirongo V, Taylor T, Thornton N, Tilley L, Grimsley S, Drury E, Stalker J, Cornelius V, Hubbart C, Jeffreys AE, Rowlands K, Rockett KA, Spencer CCA, Kwiatkowski DP; Malaria Genomic Epidemiology Network. Resistance to malaria through structural variation of red blood cell invasion receptors. Science 2017. 356(6343). pii: eaam6393. doi: 10.1126/science.aam6393. PMID: 28522690. By combining GWAS data with genome sequence data from diverse African populations, we discovered a complex structural rearrangement involving the loss of GYPB and gain of two GYPB-A hybrid genes, which reduces the risk of severe malaria by 40%. These findings link structural variation of red blood cell invasion receptors with natural resistance to severe malaria. |
Description | Malaria Genomic Epidemiology Network (MalariaGEN) |
Organisation | National Institute for Medical Research, Tanzania |
Country | Tanzania, United Republic of |
Sector | Public |
PI Contribution | I direct the MalariaGEN Resource Centre (http://www.malariagen.net/). CGGH supports Resource Centre activities, particularly statistics, software engineering, and ethics. |
Collaborator Contribution | MalariaGEN - the Malaria Genomic Epidemiology Network - is a community of more than 100 researchers in 30 countries, working together on projects that require sharing and integration of large amounts of data. MalariaGEN brings together the work of many different partner studies, each of which is led by an independent investigator and has its own scientific objectives. MalariaGEN adds value to partner studies by providing access to genotyping and sequencing technologies, and by providing a framework for sharing and integrating data in consortial and community projects. MalariaGEN provides training and support in genetic data analysis for researchers at partner institutions in malaria-endemic countries. We do this through a data bursary scheme and through an active programme of scientific meetings and training workshops. These activities are supported by the MalariaGEN Resource Centre which has a team of experts in statistics, population genetics and bioinformatics at the Sanger Institute, Oxford University, the London School of Hygiene and Tropical Medicine, and Mahidol University in Bangkok. There are many practical and ethical challenges involved in sharing data across a global network comprising investigators and institutions with great disparities in funding and infrastructure. The MalariaGEN community has been working to develop transparent procedures for ethics and governance. We have a governance committee and an independent data access committee, and network policies have been defined for data sharing and data access. |
Impact | See www.malariagen.net for data resources and web applications produced by the network. Major recent outputs include: Anopheles gambiae 1000 Genomes Consortium. Genetic diversity of the African malaria vector Anopheles gambiae. Nature 2017. 552:96-100. doi: 10.1038/nature24995. PMID:29186111 (Miles and Kwiatkowski are corresponding authors). This is the largest data resource on mosquito genome variation and population genetics. It identifies over 50 million SNPs, with evidence of ancient population expansions and recent bottlenecks, and strong selective sweeps of insecticide-resistance spreading over large geographical distances and between species. All the data were released open access as soon as available (www.malariagen.net/apps/ag1000g ) Leffler EM, Band G, Busby GBJ, Kivinen K, Le QS, Clarke GM, Bojang KA, Conway DJ, Jallow M, Sisay-Joof F, Bougouma EC, Mangano VD, Modiano D, Sirima SB, Achidi E, Apinjoh TO, Marsh K, Ndila CM, Peshu N, Williams TN, Drakeley C, Manjurano A, Reyburn H, Riley E, Kachala D, Molyneux M, Nyirongo V, Taylor T, Thornton N, Tilley L, Grimsley S, Drury E, Stalker J, Cornelius V, Hubbart C, Jeffreys AE, Rowlands K, Rockett KA, Spencer CCA, Kwiatkowski DP; Malaria Genomic Epidemiology Network. Resistance to malaria through structural variation of red blood cell invasion receptors. Science 2017. 356(6343). pii: eaam6393. doi: 10.1126/science.aam6393. PMID: 28522690. By combining GWAS data with genome sequence data from diverse African populations, we discovered a complex structural rearrangement involving the loss of GYPB and gain of two GYPB-A hybrid genes, which reduces the risk of severe malaria by 40%. These findings link structural variation of red blood cell invasion receptors with natural resistance to severe malaria. |
Description | Malaria Genomic Epidemiology Network (MalariaGEN) |
Organisation | Noguchi Memorial Institute for Medical Research (NMRR) |
Country | Ghana |
Sector | Academic/University |
PI Contribution | I direct the MalariaGEN Resource Centre (http://www.malariagen.net/). CGGH supports Resource Centre activities, particularly statistics, software engineering, and ethics. |
Collaborator Contribution | MalariaGEN - the Malaria Genomic Epidemiology Network - is a community of more than 100 researchers in 30 countries, working together on projects that require sharing and integration of large amounts of data. MalariaGEN brings together the work of many different partner studies, each of which is led by an independent investigator and has its own scientific objectives. MalariaGEN adds value to partner studies by providing access to genotyping and sequencing technologies, and by providing a framework for sharing and integrating data in consortial and community projects. MalariaGEN provides training and support in genetic data analysis for researchers at partner institutions in malaria-endemic countries. We do this through a data bursary scheme and through an active programme of scientific meetings and training workshops. These activities are supported by the MalariaGEN Resource Centre which has a team of experts in statistics, population genetics and bioinformatics at the Sanger Institute, Oxford University, the London School of Hygiene and Tropical Medicine, and Mahidol University in Bangkok. There are many practical and ethical challenges involved in sharing data across a global network comprising investigators and institutions with great disparities in funding and infrastructure. The MalariaGEN community has been working to develop transparent procedures for ethics and governance. We have a governance committee and an independent data access committee, and network policies have been defined for data sharing and data access. |
Impact | See www.malariagen.net for data resources and web applications produced by the network. Major recent outputs include: Anopheles gambiae 1000 Genomes Consortium. Genetic diversity of the African malaria vector Anopheles gambiae. Nature 2017. 552:96-100. doi: 10.1038/nature24995. PMID:29186111 (Miles and Kwiatkowski are corresponding authors). This is the largest data resource on mosquito genome variation and population genetics. It identifies over 50 million SNPs, with evidence of ancient population expansions and recent bottlenecks, and strong selective sweeps of insecticide-resistance spreading over large geographical distances and between species. All the data were released open access as soon as available (www.malariagen.net/apps/ag1000g ) Leffler EM, Band G, Busby GBJ, Kivinen K, Le QS, Clarke GM, Bojang KA, Conway DJ, Jallow M, Sisay-Joof F, Bougouma EC, Mangano VD, Modiano D, Sirima SB, Achidi E, Apinjoh TO, Marsh K, Ndila CM, Peshu N, Williams TN, Drakeley C, Manjurano A, Reyburn H, Riley E, Kachala D, Molyneux M, Nyirongo V, Taylor T, Thornton N, Tilley L, Grimsley S, Drury E, Stalker J, Cornelius V, Hubbart C, Jeffreys AE, Rowlands K, Rockett KA, Spencer CCA, Kwiatkowski DP; Malaria Genomic Epidemiology Network. Resistance to malaria through structural variation of red blood cell invasion receptors. Science 2017. 356(6343). pii: eaam6393. doi: 10.1126/science.aam6393. PMID: 28522690. By combining GWAS data with genome sequence data from diverse African populations, we discovered a complex structural rearrangement involving the loss of GYPB and gain of two GYPB-A hybrid genes, which reduces the risk of severe malaria by 40%. These findings link structural variation of red blood cell invasion receptors with natural resistance to severe malaria. |
Description | Malaria Genomic Epidemiology Network (MalariaGEN) |
Organisation | Papua New Guinea Institute of Medical Research |
Country | Papua New Guinea |
Sector | Public |
PI Contribution | I direct the MalariaGEN Resource Centre (http://www.malariagen.net/). CGGH supports Resource Centre activities, particularly statistics, software engineering, and ethics. |
Collaborator Contribution | MalariaGEN - the Malaria Genomic Epidemiology Network - is a community of more than 100 researchers in 30 countries, working together on projects that require sharing and integration of large amounts of data. MalariaGEN brings together the work of many different partner studies, each of which is led by an independent investigator and has its own scientific objectives. MalariaGEN adds value to partner studies by providing access to genotyping and sequencing technologies, and by providing a framework for sharing and integrating data in consortial and community projects. MalariaGEN provides training and support in genetic data analysis for researchers at partner institutions in malaria-endemic countries. We do this through a data bursary scheme and through an active programme of scientific meetings and training workshops. These activities are supported by the MalariaGEN Resource Centre which has a team of experts in statistics, population genetics and bioinformatics at the Sanger Institute, Oxford University, the London School of Hygiene and Tropical Medicine, and Mahidol University in Bangkok. There are many practical and ethical challenges involved in sharing data across a global network comprising investigators and institutions with great disparities in funding and infrastructure. The MalariaGEN community has been working to develop transparent procedures for ethics and governance. We have a governance committee and an independent data access committee, and network policies have been defined for data sharing and data access. |
Impact | See www.malariagen.net for data resources and web applications produced by the network. Major recent outputs include: Anopheles gambiae 1000 Genomes Consortium. Genetic diversity of the African malaria vector Anopheles gambiae. Nature 2017. 552:96-100. doi: 10.1038/nature24995. PMID:29186111 (Miles and Kwiatkowski are corresponding authors). This is the largest data resource on mosquito genome variation and population genetics. It identifies over 50 million SNPs, with evidence of ancient population expansions and recent bottlenecks, and strong selective sweeps of insecticide-resistance spreading over large geographical distances and between species. All the data were released open access as soon as available (www.malariagen.net/apps/ag1000g ) Leffler EM, Band G, Busby GBJ, Kivinen K, Le QS, Clarke GM, Bojang KA, Conway DJ, Jallow M, Sisay-Joof F, Bougouma EC, Mangano VD, Modiano D, Sirima SB, Achidi E, Apinjoh TO, Marsh K, Ndila CM, Peshu N, Williams TN, Drakeley C, Manjurano A, Reyburn H, Riley E, Kachala D, Molyneux M, Nyirongo V, Taylor T, Thornton N, Tilley L, Grimsley S, Drury E, Stalker J, Cornelius V, Hubbart C, Jeffreys AE, Rowlands K, Rockett KA, Spencer CCA, Kwiatkowski DP; Malaria Genomic Epidemiology Network. Resistance to malaria through structural variation of red blood cell invasion receptors. Science 2017. 356(6343). pii: eaam6393. doi: 10.1126/science.aam6393. PMID: 28522690. By combining GWAS data with genome sequence data from diverse African populations, we discovered a complex structural rearrangement involving the loss of GYPB and gain of two GYPB-A hybrid genes, which reduces the risk of severe malaria by 40%. These findings link structural variation of red blood cell invasion receptors with natural resistance to severe malaria. |
Description | Malaria Genomic Epidemiology Network (MalariaGEN) |
Organisation | Pasteur Institute Dakar |
Country | Senegal |
Sector | Charity/Non Profit |
PI Contribution | I direct the MalariaGEN Resource Centre (http://www.malariagen.net/). CGGH supports Resource Centre activities, particularly statistics, software engineering, and ethics. |
Collaborator Contribution | MalariaGEN - the Malaria Genomic Epidemiology Network - is a community of more than 100 researchers in 30 countries, working together on projects that require sharing and integration of large amounts of data. MalariaGEN brings together the work of many different partner studies, each of which is led by an independent investigator and has its own scientific objectives. MalariaGEN adds value to partner studies by providing access to genotyping and sequencing technologies, and by providing a framework for sharing and integrating data in consortial and community projects. MalariaGEN provides training and support in genetic data analysis for researchers at partner institutions in malaria-endemic countries. We do this through a data bursary scheme and through an active programme of scientific meetings and training workshops. These activities are supported by the MalariaGEN Resource Centre which has a team of experts in statistics, population genetics and bioinformatics at the Sanger Institute, Oxford University, the London School of Hygiene and Tropical Medicine, and Mahidol University in Bangkok. There are many practical and ethical challenges involved in sharing data across a global network comprising investigators and institutions with great disparities in funding and infrastructure. The MalariaGEN community has been working to develop transparent procedures for ethics and governance. We have a governance committee and an independent data access committee, and network policies have been defined for data sharing and data access. |
Impact | See www.malariagen.net for data resources and web applications produced by the network. Major recent outputs include: Anopheles gambiae 1000 Genomes Consortium. Genetic diversity of the African malaria vector Anopheles gambiae. Nature 2017. 552:96-100. doi: 10.1038/nature24995. PMID:29186111 (Miles and Kwiatkowski are corresponding authors). This is the largest data resource on mosquito genome variation and population genetics. It identifies over 50 million SNPs, with evidence of ancient population expansions and recent bottlenecks, and strong selective sweeps of insecticide-resistance spreading over large geographical distances and between species. All the data were released open access as soon as available (www.malariagen.net/apps/ag1000g ) Leffler EM, Band G, Busby GBJ, Kivinen K, Le QS, Clarke GM, Bojang KA, Conway DJ, Jallow M, Sisay-Joof F, Bougouma EC, Mangano VD, Modiano D, Sirima SB, Achidi E, Apinjoh TO, Marsh K, Ndila CM, Peshu N, Williams TN, Drakeley C, Manjurano A, Reyburn H, Riley E, Kachala D, Molyneux M, Nyirongo V, Taylor T, Thornton N, Tilley L, Grimsley S, Drury E, Stalker J, Cornelius V, Hubbart C, Jeffreys AE, Rowlands K, Rockett KA, Spencer CCA, Kwiatkowski DP; Malaria Genomic Epidemiology Network. Resistance to malaria through structural variation of red blood cell invasion receptors. Science 2017. 356(6343). pii: eaam6393. doi: 10.1126/science.aam6393. PMID: 28522690. By combining GWAS data with genome sequence data from diverse African populations, we discovered a complex structural rearrangement involving the loss of GYPB and gain of two GYPB-A hybrid genes, which reduces the risk of severe malaria by 40%. These findings link structural variation of red blood cell invasion receptors with natural resistance to severe malaria. |
Description | Malaria Genomic Epidemiology Network (MalariaGEN) |
Organisation | Pasteur Institute, Paris |
Country | France |
Sector | Charity/Non Profit |
PI Contribution | I direct the MalariaGEN Resource Centre (http://www.malariagen.net/). CGGH supports Resource Centre activities, particularly statistics, software engineering, and ethics. |
Collaborator Contribution | MalariaGEN - the Malaria Genomic Epidemiology Network - is a community of more than 100 researchers in 30 countries, working together on projects that require sharing and integration of large amounts of data. MalariaGEN brings together the work of many different partner studies, each of which is led by an independent investigator and has its own scientific objectives. MalariaGEN adds value to partner studies by providing access to genotyping and sequencing technologies, and by providing a framework for sharing and integrating data in consortial and community projects. MalariaGEN provides training and support in genetic data analysis for researchers at partner institutions in malaria-endemic countries. We do this through a data bursary scheme and through an active programme of scientific meetings and training workshops. These activities are supported by the MalariaGEN Resource Centre which has a team of experts in statistics, population genetics and bioinformatics at the Sanger Institute, Oxford University, the London School of Hygiene and Tropical Medicine, and Mahidol University in Bangkok. There are many practical and ethical challenges involved in sharing data across a global network comprising investigators and institutions with great disparities in funding and infrastructure. The MalariaGEN community has been working to develop transparent procedures for ethics and governance. We have a governance committee and an independent data access committee, and network policies have been defined for data sharing and data access. |
Impact | See www.malariagen.net for data resources and web applications produced by the network. Major recent outputs include: Anopheles gambiae 1000 Genomes Consortium. Genetic diversity of the African malaria vector Anopheles gambiae. Nature 2017. 552:96-100. doi: 10.1038/nature24995. PMID:29186111 (Miles and Kwiatkowski are corresponding authors). This is the largest data resource on mosquito genome variation and population genetics. It identifies over 50 million SNPs, with evidence of ancient population expansions and recent bottlenecks, and strong selective sweeps of insecticide-resistance spreading over large geographical distances and between species. All the data were released open access as soon as available (www.malariagen.net/apps/ag1000g ) Leffler EM, Band G, Busby GBJ, Kivinen K, Le QS, Clarke GM, Bojang KA, Conway DJ, Jallow M, Sisay-Joof F, Bougouma EC, Mangano VD, Modiano D, Sirima SB, Achidi E, Apinjoh TO, Marsh K, Ndila CM, Peshu N, Williams TN, Drakeley C, Manjurano A, Reyburn H, Riley E, Kachala D, Molyneux M, Nyirongo V, Taylor T, Thornton N, Tilley L, Grimsley S, Drury E, Stalker J, Cornelius V, Hubbart C, Jeffreys AE, Rowlands K, Rockett KA, Spencer CCA, Kwiatkowski DP; Malaria Genomic Epidemiology Network. Resistance to malaria through structural variation of red blood cell invasion receptors. Science 2017. 356(6343). pii: eaam6393. doi: 10.1126/science.aam6393. PMID: 28522690. By combining GWAS data with genome sequence data from diverse African populations, we discovered a complex structural rearrangement involving the loss of GYPB and gain of two GYPB-A hybrid genes, which reduces the risk of severe malaria by 40%. These findings link structural variation of red blood cell invasion receptors with natural resistance to severe malaria. |
Description | Malaria Genomic Epidemiology Network (MalariaGEN) |
Organisation | Sapienza University of Rome |
Department | Parasitology Sapienza |
Country | Italy |
Sector | Academic/University |
PI Contribution | I direct the MalariaGEN Resource Centre (http://www.malariagen.net/). CGGH supports Resource Centre activities, particularly statistics, software engineering, and ethics. |
Collaborator Contribution | MalariaGEN - the Malaria Genomic Epidemiology Network - is a community of more than 100 researchers in 30 countries, working together on projects that require sharing and integration of large amounts of data. MalariaGEN brings together the work of many different partner studies, each of which is led by an independent investigator and has its own scientific objectives. MalariaGEN adds value to partner studies by providing access to genotyping and sequencing technologies, and by providing a framework for sharing and integrating data in consortial and community projects. MalariaGEN provides training and support in genetic data analysis for researchers at partner institutions in malaria-endemic countries. We do this through a data bursary scheme and through an active programme of scientific meetings and training workshops. These activities are supported by the MalariaGEN Resource Centre which has a team of experts in statistics, population genetics and bioinformatics at the Sanger Institute, Oxford University, the London School of Hygiene and Tropical Medicine, and Mahidol University in Bangkok. There are many practical and ethical challenges involved in sharing data across a global network comprising investigators and institutions with great disparities in funding and infrastructure. The MalariaGEN community has been working to develop transparent procedures for ethics and governance. We have a governance committee and an independent data access committee, and network policies have been defined for data sharing and data access. |
Impact | See www.malariagen.net for data resources and web applications produced by the network. Major recent outputs include: Anopheles gambiae 1000 Genomes Consortium. Genetic diversity of the African malaria vector Anopheles gambiae. Nature 2017. 552:96-100. doi: 10.1038/nature24995. PMID:29186111 (Miles and Kwiatkowski are corresponding authors). This is the largest data resource on mosquito genome variation and population genetics. It identifies over 50 million SNPs, with evidence of ancient population expansions and recent bottlenecks, and strong selective sweeps of insecticide-resistance spreading over large geographical distances and between species. All the data were released open access as soon as available (www.malariagen.net/apps/ag1000g ) Leffler EM, Band G, Busby GBJ, Kivinen K, Le QS, Clarke GM, Bojang KA, Conway DJ, Jallow M, Sisay-Joof F, Bougouma EC, Mangano VD, Modiano D, Sirima SB, Achidi E, Apinjoh TO, Marsh K, Ndila CM, Peshu N, Williams TN, Drakeley C, Manjurano A, Reyburn H, Riley E, Kachala D, Molyneux M, Nyirongo V, Taylor T, Thornton N, Tilley L, Grimsley S, Drury E, Stalker J, Cornelius V, Hubbart C, Jeffreys AE, Rowlands K, Rockett KA, Spencer CCA, Kwiatkowski DP; Malaria Genomic Epidemiology Network. Resistance to malaria through structural variation of red blood cell invasion receptors. Science 2017. 356(6343). pii: eaam6393. doi: 10.1126/science.aam6393. PMID: 28522690. By combining GWAS data with genome sequence data from diverse African populations, we discovered a complex structural rearrangement involving the loss of GYPB and gain of two GYPB-A hybrid genes, which reduces the risk of severe malaria by 40%. These findings link structural variation of red blood cell invasion receptors with natural resistance to severe malaria. |
Description | Malaria Genomic Epidemiology Network (MalariaGEN) |
Organisation | Stockholm University |
Country | Sweden |
Sector | Academic/University |
PI Contribution | I direct the MalariaGEN Resource Centre (http://www.malariagen.net/). CGGH supports Resource Centre activities, particularly statistics, software engineering, and ethics. |
Collaborator Contribution | MalariaGEN - the Malaria Genomic Epidemiology Network - is a community of more than 100 researchers in 30 countries, working together on projects that require sharing and integration of large amounts of data. MalariaGEN brings together the work of many different partner studies, each of which is led by an independent investigator and has its own scientific objectives. MalariaGEN adds value to partner studies by providing access to genotyping and sequencing technologies, and by providing a framework for sharing and integrating data in consortial and community projects. MalariaGEN provides training and support in genetic data analysis for researchers at partner institutions in malaria-endemic countries. We do this through a data bursary scheme and through an active programme of scientific meetings and training workshops. These activities are supported by the MalariaGEN Resource Centre which has a team of experts in statistics, population genetics and bioinformatics at the Sanger Institute, Oxford University, the London School of Hygiene and Tropical Medicine, and Mahidol University in Bangkok. There are many practical and ethical challenges involved in sharing data across a global network comprising investigators and institutions with great disparities in funding and infrastructure. The MalariaGEN community has been working to develop transparent procedures for ethics and governance. We have a governance committee and an independent data access committee, and network policies have been defined for data sharing and data access. |
Impact | See www.malariagen.net for data resources and web applications produced by the network. Major recent outputs include: Anopheles gambiae 1000 Genomes Consortium. Genetic diversity of the African malaria vector Anopheles gambiae. Nature 2017. 552:96-100. doi: 10.1038/nature24995. PMID:29186111 (Miles and Kwiatkowski are corresponding authors). This is the largest data resource on mosquito genome variation and population genetics. It identifies over 50 million SNPs, with evidence of ancient population expansions and recent bottlenecks, and strong selective sweeps of insecticide-resistance spreading over large geographical distances and between species. All the data were released open access as soon as available (www.malariagen.net/apps/ag1000g ) Leffler EM, Band G, Busby GBJ, Kivinen K, Le QS, Clarke GM, Bojang KA, Conway DJ, Jallow M, Sisay-Joof F, Bougouma EC, Mangano VD, Modiano D, Sirima SB, Achidi E, Apinjoh TO, Marsh K, Ndila CM, Peshu N, Williams TN, Drakeley C, Manjurano A, Reyburn H, Riley E, Kachala D, Molyneux M, Nyirongo V, Taylor T, Thornton N, Tilley L, Grimsley S, Drury E, Stalker J, Cornelius V, Hubbart C, Jeffreys AE, Rowlands K, Rockett KA, Spencer CCA, Kwiatkowski DP; Malaria Genomic Epidemiology Network. Resistance to malaria through structural variation of red blood cell invasion receptors. Science 2017. 356(6343). pii: eaam6393. doi: 10.1126/science.aam6393. PMID: 28522690. By combining GWAS data with genome sequence data from diverse African populations, we discovered a complex structural rearrangement involving the loss of GYPB and gain of two GYPB-A hybrid genes, which reduces the risk of severe malaria by 40%. These findings link structural variation of red blood cell invasion receptors with natural resistance to severe malaria. |
Description | Malaria Genomic Epidemiology Network (MalariaGEN) |
Organisation | The Wellcome Trust Sanger Institute |
Country | United Kingdom |
Sector | Charity/Non Profit |
PI Contribution | I direct the MalariaGEN Resource Centre (http://www.malariagen.net/). CGGH supports Resource Centre activities, particularly statistics, software engineering, and ethics. |
Collaborator Contribution | MalariaGEN - the Malaria Genomic Epidemiology Network - is a community of more than 100 researchers in 30 countries, working together on projects that require sharing and integration of large amounts of data. MalariaGEN brings together the work of many different partner studies, each of which is led by an independent investigator and has its own scientific objectives. MalariaGEN adds value to partner studies by providing access to genotyping and sequencing technologies, and by providing a framework for sharing and integrating data in consortial and community projects. MalariaGEN provides training and support in genetic data analysis for researchers at partner institutions in malaria-endemic countries. We do this through a data bursary scheme and through an active programme of scientific meetings and training workshops. These activities are supported by the MalariaGEN Resource Centre which has a team of experts in statistics, population genetics and bioinformatics at the Sanger Institute, Oxford University, the London School of Hygiene and Tropical Medicine, and Mahidol University in Bangkok. There are many practical and ethical challenges involved in sharing data across a global network comprising investigators and institutions with great disparities in funding and infrastructure. The MalariaGEN community has been working to develop transparent procedures for ethics and governance. We have a governance committee and an independent data access committee, and network policies have been defined for data sharing and data access. |
Impact | See www.malariagen.net for data resources and web applications produced by the network. Major recent outputs include: Anopheles gambiae 1000 Genomes Consortium. Genetic diversity of the African malaria vector Anopheles gambiae. Nature 2017. 552:96-100. doi: 10.1038/nature24995. PMID:29186111 (Miles and Kwiatkowski are corresponding authors). This is the largest data resource on mosquito genome variation and population genetics. It identifies over 50 million SNPs, with evidence of ancient population expansions and recent bottlenecks, and strong selective sweeps of insecticide-resistance spreading over large geographical distances and between species. All the data were released open access as soon as available (www.malariagen.net/apps/ag1000g ) Leffler EM, Band G, Busby GBJ, Kivinen K, Le QS, Clarke GM, Bojang KA, Conway DJ, Jallow M, Sisay-Joof F, Bougouma EC, Mangano VD, Modiano D, Sirima SB, Achidi E, Apinjoh TO, Marsh K, Ndila CM, Peshu N, Williams TN, Drakeley C, Manjurano A, Reyburn H, Riley E, Kachala D, Molyneux M, Nyirongo V, Taylor T, Thornton N, Tilley L, Grimsley S, Drury E, Stalker J, Cornelius V, Hubbart C, Jeffreys AE, Rowlands K, Rockett KA, Spencer CCA, Kwiatkowski DP; Malaria Genomic Epidemiology Network. Resistance to malaria through structural variation of red blood cell invasion receptors. Science 2017. 356(6343). pii: eaam6393. doi: 10.1126/science.aam6393. PMID: 28522690. By combining GWAS data with genome sequence data from diverse African populations, we discovered a complex structural rearrangement involving the loss of GYPB and gain of two GYPB-A hybrid genes, which reduces the risk of severe malaria by 40%. These findings link structural variation of red blood cell invasion receptors with natural resistance to severe malaria. |
Description | Malaria Genomic Epidemiology Network (MalariaGEN) |
Organisation | University of Bamako |
Department | Malaria Research and Training Centre (MRTC) Bamako |
Country | Mali |
Sector | Academic/University |
PI Contribution | I direct the MalariaGEN Resource Centre (http://www.malariagen.net/). CGGH supports Resource Centre activities, particularly statistics, software engineering, and ethics. |
Collaborator Contribution | MalariaGEN - the Malaria Genomic Epidemiology Network - is a community of more than 100 researchers in 30 countries, working together on projects that require sharing and integration of large amounts of data. MalariaGEN brings together the work of many different partner studies, each of which is led by an independent investigator and has its own scientific objectives. MalariaGEN adds value to partner studies by providing access to genotyping and sequencing technologies, and by providing a framework for sharing and integrating data in consortial and community projects. MalariaGEN provides training and support in genetic data analysis for researchers at partner institutions in malaria-endemic countries. We do this through a data bursary scheme and through an active programme of scientific meetings and training workshops. These activities are supported by the MalariaGEN Resource Centre which has a team of experts in statistics, population genetics and bioinformatics at the Sanger Institute, Oxford University, the London School of Hygiene and Tropical Medicine, and Mahidol University in Bangkok. There are many practical and ethical challenges involved in sharing data across a global network comprising investigators and institutions with great disparities in funding and infrastructure. The MalariaGEN community has been working to develop transparent procedures for ethics and governance. We have a governance committee and an independent data access committee, and network policies have been defined for data sharing and data access. |
Impact | See www.malariagen.net for data resources and web applications produced by the network. Major recent outputs include: Anopheles gambiae 1000 Genomes Consortium. Genetic diversity of the African malaria vector Anopheles gambiae. Nature 2017. 552:96-100. doi: 10.1038/nature24995. PMID:29186111 (Miles and Kwiatkowski are corresponding authors). This is the largest data resource on mosquito genome variation and population genetics. It identifies over 50 million SNPs, with evidence of ancient population expansions and recent bottlenecks, and strong selective sweeps of insecticide-resistance spreading over large geographical distances and between species. All the data were released open access as soon as available (www.malariagen.net/apps/ag1000g ) Leffler EM, Band G, Busby GBJ, Kivinen K, Le QS, Clarke GM, Bojang KA, Conway DJ, Jallow M, Sisay-Joof F, Bougouma EC, Mangano VD, Modiano D, Sirima SB, Achidi E, Apinjoh TO, Marsh K, Ndila CM, Peshu N, Williams TN, Drakeley C, Manjurano A, Reyburn H, Riley E, Kachala D, Molyneux M, Nyirongo V, Taylor T, Thornton N, Tilley L, Grimsley S, Drury E, Stalker J, Cornelius V, Hubbart C, Jeffreys AE, Rowlands K, Rockett KA, Spencer CCA, Kwiatkowski DP; Malaria Genomic Epidemiology Network. Resistance to malaria through structural variation of red blood cell invasion receptors. Science 2017. 356(6343). pii: eaam6393. doi: 10.1126/science.aam6393. PMID: 28522690. By combining GWAS data with genome sequence data from diverse African populations, we discovered a complex structural rearrangement involving the loss of GYPB and gain of two GYPB-A hybrid genes, which reduces the risk of severe malaria by 40%. These findings link structural variation of red blood cell invasion receptors with natural resistance to severe malaria. |
Description | Malaria Genomic Epidemiology Network (MalariaGEN) |
Organisation | University of Buea |
Country | Cameroon |
Sector | Academic/University |
PI Contribution | I direct the MalariaGEN Resource Centre (http://www.malariagen.net/). CGGH supports Resource Centre activities, particularly statistics, software engineering, and ethics. |
Collaborator Contribution | MalariaGEN - the Malaria Genomic Epidemiology Network - is a community of more than 100 researchers in 30 countries, working together on projects that require sharing and integration of large amounts of data. MalariaGEN brings together the work of many different partner studies, each of which is led by an independent investigator and has its own scientific objectives. MalariaGEN adds value to partner studies by providing access to genotyping and sequencing technologies, and by providing a framework for sharing and integrating data in consortial and community projects. MalariaGEN provides training and support in genetic data analysis for researchers at partner institutions in malaria-endemic countries. We do this through a data bursary scheme and through an active programme of scientific meetings and training workshops. These activities are supported by the MalariaGEN Resource Centre which has a team of experts in statistics, population genetics and bioinformatics at the Sanger Institute, Oxford University, the London School of Hygiene and Tropical Medicine, and Mahidol University in Bangkok. There are many practical and ethical challenges involved in sharing data across a global network comprising investigators and institutions with great disparities in funding and infrastructure. The MalariaGEN community has been working to develop transparent procedures for ethics and governance. We have a governance committee and an independent data access committee, and network policies have been defined for data sharing and data access. |
Impact | See www.malariagen.net for data resources and web applications produced by the network. Major recent outputs include: Anopheles gambiae 1000 Genomes Consortium. Genetic diversity of the African malaria vector Anopheles gambiae. Nature 2017. 552:96-100. doi: 10.1038/nature24995. PMID:29186111 (Miles and Kwiatkowski are corresponding authors). This is the largest data resource on mosquito genome variation and population genetics. It identifies over 50 million SNPs, with evidence of ancient population expansions and recent bottlenecks, and strong selective sweeps of insecticide-resistance spreading over large geographical distances and between species. All the data were released open access as soon as available (www.malariagen.net/apps/ag1000g ) Leffler EM, Band G, Busby GBJ, Kivinen K, Le QS, Clarke GM, Bojang KA, Conway DJ, Jallow M, Sisay-Joof F, Bougouma EC, Mangano VD, Modiano D, Sirima SB, Achidi E, Apinjoh TO, Marsh K, Ndila CM, Peshu N, Williams TN, Drakeley C, Manjurano A, Reyburn H, Riley E, Kachala D, Molyneux M, Nyirongo V, Taylor T, Thornton N, Tilley L, Grimsley S, Drury E, Stalker J, Cornelius V, Hubbart C, Jeffreys AE, Rowlands K, Rockett KA, Spencer CCA, Kwiatkowski DP; Malaria Genomic Epidemiology Network. Resistance to malaria through structural variation of red blood cell invasion receptors. Science 2017. 356(6343). pii: eaam6393. doi: 10.1126/science.aam6393. PMID: 28522690. By combining GWAS data with genome sequence data from diverse African populations, we discovered a complex structural rearrangement involving the loss of GYPB and gain of two GYPB-A hybrid genes, which reduces the risk of severe malaria by 40%. These findings link structural variation of red blood cell invasion receptors with natural resistance to severe malaria. |
Description | Malaria Genomic Epidemiology Network (MalariaGEN) |
Organisation | University of Colombo |
Department | Department of Parasitology |
Country | Sri Lanka |
Sector | Academic/University |
PI Contribution | I direct the MalariaGEN Resource Centre (http://www.malariagen.net/). CGGH supports Resource Centre activities, particularly statistics, software engineering, and ethics. |
Collaborator Contribution | MalariaGEN - the Malaria Genomic Epidemiology Network - is a community of more than 100 researchers in 30 countries, working together on projects that require sharing and integration of large amounts of data. MalariaGEN brings together the work of many different partner studies, each of which is led by an independent investigator and has its own scientific objectives. MalariaGEN adds value to partner studies by providing access to genotyping and sequencing technologies, and by providing a framework for sharing and integrating data in consortial and community projects. MalariaGEN provides training and support in genetic data analysis for researchers at partner institutions in malaria-endemic countries. We do this through a data bursary scheme and through an active programme of scientific meetings and training workshops. These activities are supported by the MalariaGEN Resource Centre which has a team of experts in statistics, population genetics and bioinformatics at the Sanger Institute, Oxford University, the London School of Hygiene and Tropical Medicine, and Mahidol University in Bangkok. There are many practical and ethical challenges involved in sharing data across a global network comprising investigators and institutions with great disparities in funding and infrastructure. The MalariaGEN community has been working to develop transparent procedures for ethics and governance. We have a governance committee and an independent data access committee, and network policies have been defined for data sharing and data access. |
Impact | See www.malariagen.net for data resources and web applications produced by the network. Major recent outputs include: Anopheles gambiae 1000 Genomes Consortium. Genetic diversity of the African malaria vector Anopheles gambiae. Nature 2017. 552:96-100. doi: 10.1038/nature24995. PMID:29186111 (Miles and Kwiatkowski are corresponding authors). This is the largest data resource on mosquito genome variation and population genetics. It identifies over 50 million SNPs, with evidence of ancient population expansions and recent bottlenecks, and strong selective sweeps of insecticide-resistance spreading over large geographical distances and between species. All the data were released open access as soon as available (www.malariagen.net/apps/ag1000g ) Leffler EM, Band G, Busby GBJ, Kivinen K, Le QS, Clarke GM, Bojang KA, Conway DJ, Jallow M, Sisay-Joof F, Bougouma EC, Mangano VD, Modiano D, Sirima SB, Achidi E, Apinjoh TO, Marsh K, Ndila CM, Peshu N, Williams TN, Drakeley C, Manjurano A, Reyburn H, Riley E, Kachala D, Molyneux M, Nyirongo V, Taylor T, Thornton N, Tilley L, Grimsley S, Drury E, Stalker J, Cornelius V, Hubbart C, Jeffreys AE, Rowlands K, Rockett KA, Spencer CCA, Kwiatkowski DP; Malaria Genomic Epidemiology Network. Resistance to malaria through structural variation of red blood cell invasion receptors. Science 2017. 356(6343). pii: eaam6393. doi: 10.1126/science.aam6393. PMID: 28522690. By combining GWAS data with genome sequence data from diverse African populations, we discovered a complex structural rearrangement involving the loss of GYPB and gain of two GYPB-A hybrid genes, which reduces the risk of severe malaria by 40%. These findings link structural variation of red blood cell invasion receptors with natural resistance to severe malaria. |
Description | Malaria Genomic Epidemiology Network (MalariaGEN) |
Organisation | University of Malawi |
Country | Malawi |
Sector | Academic/University |
PI Contribution | I direct the MalariaGEN Resource Centre (http://www.malariagen.net/). CGGH supports Resource Centre activities, particularly statistics, software engineering, and ethics. |
Collaborator Contribution | MalariaGEN - the Malaria Genomic Epidemiology Network - is a community of more than 100 researchers in 30 countries, working together on projects that require sharing and integration of large amounts of data. MalariaGEN brings together the work of many different partner studies, each of which is led by an independent investigator and has its own scientific objectives. MalariaGEN adds value to partner studies by providing access to genotyping and sequencing technologies, and by providing a framework for sharing and integrating data in consortial and community projects. MalariaGEN provides training and support in genetic data analysis for researchers at partner institutions in malaria-endemic countries. We do this through a data bursary scheme and through an active programme of scientific meetings and training workshops. These activities are supported by the MalariaGEN Resource Centre which has a team of experts in statistics, population genetics and bioinformatics at the Sanger Institute, Oxford University, the London School of Hygiene and Tropical Medicine, and Mahidol University in Bangkok. There are many practical and ethical challenges involved in sharing data across a global network comprising investigators and institutions with great disparities in funding and infrastructure. The MalariaGEN community has been working to develop transparent procedures for ethics and governance. We have a governance committee and an independent data access committee, and network policies have been defined for data sharing and data access. |
Impact | See www.malariagen.net for data resources and web applications produced by the network. Major recent outputs include: Anopheles gambiae 1000 Genomes Consortium. Genetic diversity of the African malaria vector Anopheles gambiae. Nature 2017. 552:96-100. doi: 10.1038/nature24995. PMID:29186111 (Miles and Kwiatkowski are corresponding authors). This is the largest data resource on mosquito genome variation and population genetics. It identifies over 50 million SNPs, with evidence of ancient population expansions and recent bottlenecks, and strong selective sweeps of insecticide-resistance spreading over large geographical distances and between species. All the data were released open access as soon as available (www.malariagen.net/apps/ag1000g ) Leffler EM, Band G, Busby GBJ, Kivinen K, Le QS, Clarke GM, Bojang KA, Conway DJ, Jallow M, Sisay-Joof F, Bougouma EC, Mangano VD, Modiano D, Sirima SB, Achidi E, Apinjoh TO, Marsh K, Ndila CM, Peshu N, Williams TN, Drakeley C, Manjurano A, Reyburn H, Riley E, Kachala D, Molyneux M, Nyirongo V, Taylor T, Thornton N, Tilley L, Grimsley S, Drury E, Stalker J, Cornelius V, Hubbart C, Jeffreys AE, Rowlands K, Rockett KA, Spencer CCA, Kwiatkowski DP; Malaria Genomic Epidemiology Network. Resistance to malaria through structural variation of red blood cell invasion receptors. Science 2017. 356(6343). pii: eaam6393. doi: 10.1126/science.aam6393. PMID: 28522690. By combining GWAS data with genome sequence data from diverse African populations, we discovered a complex structural rearrangement involving the loss of GYPB and gain of two GYPB-A hybrid genes, which reduces the risk of severe malaria by 40%. These findings link structural variation of red blood cell invasion receptors with natural resistance to severe malaria. |
Description | Malaria Genomic Epidemiology Network (MalariaGEN) |
Organisation | University of Maryland |
Department | Centre for Vaccine Development (CVD) |
Country | United States |
Sector | Academic/University |
PI Contribution | I direct the MalariaGEN Resource Centre (http://www.malariagen.net/). CGGH supports Resource Centre activities, particularly statistics, software engineering, and ethics. |
Collaborator Contribution | MalariaGEN - the Malaria Genomic Epidemiology Network - is a community of more than 100 researchers in 30 countries, working together on projects that require sharing and integration of large amounts of data. MalariaGEN brings together the work of many different partner studies, each of which is led by an independent investigator and has its own scientific objectives. MalariaGEN adds value to partner studies by providing access to genotyping and sequencing technologies, and by providing a framework for sharing and integrating data in consortial and community projects. MalariaGEN provides training and support in genetic data analysis for researchers at partner institutions in malaria-endemic countries. We do this through a data bursary scheme and through an active programme of scientific meetings and training workshops. These activities are supported by the MalariaGEN Resource Centre which has a team of experts in statistics, population genetics and bioinformatics at the Sanger Institute, Oxford University, the London School of Hygiene and Tropical Medicine, and Mahidol University in Bangkok. There are many practical and ethical challenges involved in sharing data across a global network comprising investigators and institutions with great disparities in funding and infrastructure. The MalariaGEN community has been working to develop transparent procedures for ethics and governance. We have a governance committee and an independent data access committee, and network policies have been defined for data sharing and data access. |
Impact | See www.malariagen.net for data resources and web applications produced by the network. Major recent outputs include: Anopheles gambiae 1000 Genomes Consortium. Genetic diversity of the African malaria vector Anopheles gambiae. Nature 2017. 552:96-100. doi: 10.1038/nature24995. PMID:29186111 (Miles and Kwiatkowski are corresponding authors). This is the largest data resource on mosquito genome variation and population genetics. It identifies over 50 million SNPs, with evidence of ancient population expansions and recent bottlenecks, and strong selective sweeps of insecticide-resistance spreading over large geographical distances and between species. All the data were released open access as soon as available (www.malariagen.net/apps/ag1000g ) Leffler EM, Band G, Busby GBJ, Kivinen K, Le QS, Clarke GM, Bojang KA, Conway DJ, Jallow M, Sisay-Joof F, Bougouma EC, Mangano VD, Modiano D, Sirima SB, Achidi E, Apinjoh TO, Marsh K, Ndila CM, Peshu N, Williams TN, Drakeley C, Manjurano A, Reyburn H, Riley E, Kachala D, Molyneux M, Nyirongo V, Taylor T, Thornton N, Tilley L, Grimsley S, Drury E, Stalker J, Cornelius V, Hubbart C, Jeffreys AE, Rowlands K, Rockett KA, Spencer CCA, Kwiatkowski DP; Malaria Genomic Epidemiology Network. Resistance to malaria through structural variation of red blood cell invasion receptors. Science 2017. 356(6343). pii: eaam6393. doi: 10.1126/science.aam6393. PMID: 28522690. By combining GWAS data with genome sequence data from diverse African populations, we discovered a complex structural rearrangement involving the loss of GYPB and gain of two GYPB-A hybrid genes, which reduces the risk of severe malaria by 40%. These findings link structural variation of red blood cell invasion receptors with natural resistance to severe malaria. |
Description | Malaria Genomic Epidemiology Network (MalariaGEN) |
Organisation | University of Michigan |
Country | United States |
Sector | Academic/University |
PI Contribution | I direct the MalariaGEN Resource Centre (http://www.malariagen.net/). CGGH supports Resource Centre activities, particularly statistics, software engineering, and ethics. |
Collaborator Contribution | MalariaGEN - the Malaria Genomic Epidemiology Network - is a community of more than 100 researchers in 30 countries, working together on projects that require sharing and integration of large amounts of data. MalariaGEN brings together the work of many different partner studies, each of which is led by an independent investigator and has its own scientific objectives. MalariaGEN adds value to partner studies by providing access to genotyping and sequencing technologies, and by providing a framework for sharing and integrating data in consortial and community projects. MalariaGEN provides training and support in genetic data analysis for researchers at partner institutions in malaria-endemic countries. We do this through a data bursary scheme and through an active programme of scientific meetings and training workshops. These activities are supported by the MalariaGEN Resource Centre which has a team of experts in statistics, population genetics and bioinformatics at the Sanger Institute, Oxford University, the London School of Hygiene and Tropical Medicine, and Mahidol University in Bangkok. There are many practical and ethical challenges involved in sharing data across a global network comprising investigators and institutions with great disparities in funding and infrastructure. The MalariaGEN community has been working to develop transparent procedures for ethics and governance. We have a governance committee and an independent data access committee, and network policies have been defined for data sharing and data access. |
Impact | See www.malariagen.net for data resources and web applications produced by the network. Major recent outputs include: Anopheles gambiae 1000 Genomes Consortium. Genetic diversity of the African malaria vector Anopheles gambiae. Nature 2017. 552:96-100. doi: 10.1038/nature24995. PMID:29186111 (Miles and Kwiatkowski are corresponding authors). This is the largest data resource on mosquito genome variation and population genetics. It identifies over 50 million SNPs, with evidence of ancient population expansions and recent bottlenecks, and strong selective sweeps of insecticide-resistance spreading over large geographical distances and between species. All the data were released open access as soon as available (www.malariagen.net/apps/ag1000g ) Leffler EM, Band G, Busby GBJ, Kivinen K, Le QS, Clarke GM, Bojang KA, Conway DJ, Jallow M, Sisay-Joof F, Bougouma EC, Mangano VD, Modiano D, Sirima SB, Achidi E, Apinjoh TO, Marsh K, Ndila CM, Peshu N, Williams TN, Drakeley C, Manjurano A, Reyburn H, Riley E, Kachala D, Molyneux M, Nyirongo V, Taylor T, Thornton N, Tilley L, Grimsley S, Drury E, Stalker J, Cornelius V, Hubbart C, Jeffreys AE, Rowlands K, Rockett KA, Spencer CCA, Kwiatkowski DP; Malaria Genomic Epidemiology Network. Resistance to malaria through structural variation of red blood cell invasion receptors. Science 2017. 356(6343). pii: eaam6393. doi: 10.1126/science.aam6393. PMID: 28522690. By combining GWAS data with genome sequence data from diverse African populations, we discovered a complex structural rearrangement involving the loss of GYPB and gain of two GYPB-A hybrid genes, which reduces the risk of severe malaria by 40%. These findings link structural variation of red blood cell invasion receptors with natural resistance to severe malaria. |
Description | Malaria Genomic Epidemiology Network (MalariaGEN) |
Organisation | University of Oxford |
Department | Oxford University Clinical Research Unit Vietnam (OUCRU) |
Country | Viet Nam |
Sector | Academic/University |
PI Contribution | I direct the MalariaGEN Resource Centre (http://www.malariagen.net/). CGGH supports Resource Centre activities, particularly statistics, software engineering, and ethics. |
Collaborator Contribution | MalariaGEN - the Malaria Genomic Epidemiology Network - is a community of more than 100 researchers in 30 countries, working together on projects that require sharing and integration of large amounts of data. MalariaGEN brings together the work of many different partner studies, each of which is led by an independent investigator and has its own scientific objectives. MalariaGEN adds value to partner studies by providing access to genotyping and sequencing technologies, and by providing a framework for sharing and integrating data in consortial and community projects. MalariaGEN provides training and support in genetic data analysis for researchers at partner institutions in malaria-endemic countries. We do this through a data bursary scheme and through an active programme of scientific meetings and training workshops. These activities are supported by the MalariaGEN Resource Centre which has a team of experts in statistics, population genetics and bioinformatics at the Sanger Institute, Oxford University, the London School of Hygiene and Tropical Medicine, and Mahidol University in Bangkok. There are many practical and ethical challenges involved in sharing data across a global network comprising investigators and institutions with great disparities in funding and infrastructure. The MalariaGEN community has been working to develop transparent procedures for ethics and governance. We have a governance committee and an independent data access committee, and network policies have been defined for data sharing and data access. |
Impact | See www.malariagen.net for data resources and web applications produced by the network. Major recent outputs include: Anopheles gambiae 1000 Genomes Consortium. Genetic diversity of the African malaria vector Anopheles gambiae. Nature 2017. 552:96-100. doi: 10.1038/nature24995. PMID:29186111 (Miles and Kwiatkowski are corresponding authors). This is the largest data resource on mosquito genome variation and population genetics. It identifies over 50 million SNPs, with evidence of ancient population expansions and recent bottlenecks, and strong selective sweeps of insecticide-resistance spreading over large geographical distances and between species. All the data were released open access as soon as available (www.malariagen.net/apps/ag1000g ) Leffler EM, Band G, Busby GBJ, Kivinen K, Le QS, Clarke GM, Bojang KA, Conway DJ, Jallow M, Sisay-Joof F, Bougouma EC, Mangano VD, Modiano D, Sirima SB, Achidi E, Apinjoh TO, Marsh K, Ndila CM, Peshu N, Williams TN, Drakeley C, Manjurano A, Reyburn H, Riley E, Kachala D, Molyneux M, Nyirongo V, Taylor T, Thornton N, Tilley L, Grimsley S, Drury E, Stalker J, Cornelius V, Hubbart C, Jeffreys AE, Rowlands K, Rockett KA, Spencer CCA, Kwiatkowski DP; Malaria Genomic Epidemiology Network. Resistance to malaria through structural variation of red blood cell invasion receptors. Science 2017. 356(6343). pii: eaam6393. doi: 10.1126/science.aam6393. PMID: 28522690. By combining GWAS data with genome sequence data from diverse African populations, we discovered a complex structural rearrangement involving the loss of GYPB and gain of two GYPB-A hybrid genes, which reduces the risk of severe malaria by 40%. These findings link structural variation of red blood cell invasion receptors with natural resistance to severe malaria. |
Description | Malaria Genomic Epidemiology Network (MalariaGEN) |
Organisation | Wellcome Trust |
Department | KEMRI-Wellcome Trust Research Programme |
Country | Kenya |
Sector | Academic/University |
PI Contribution | I direct the MalariaGEN Resource Centre (http://www.malariagen.net/). CGGH supports Resource Centre activities, particularly statistics, software engineering, and ethics. |
Collaborator Contribution | MalariaGEN - the Malaria Genomic Epidemiology Network - is a community of more than 100 researchers in 30 countries, working together on projects that require sharing and integration of large amounts of data. MalariaGEN brings together the work of many different partner studies, each of which is led by an independent investigator and has its own scientific objectives. MalariaGEN adds value to partner studies by providing access to genotyping and sequencing technologies, and by providing a framework for sharing and integrating data in consortial and community projects. MalariaGEN provides training and support in genetic data analysis for researchers at partner institutions in malaria-endemic countries. We do this through a data bursary scheme and through an active programme of scientific meetings and training workshops. These activities are supported by the MalariaGEN Resource Centre which has a team of experts in statistics, population genetics and bioinformatics at the Sanger Institute, Oxford University, the London School of Hygiene and Tropical Medicine, and Mahidol University in Bangkok. There are many practical and ethical challenges involved in sharing data across a global network comprising investigators and institutions with great disparities in funding and infrastructure. The MalariaGEN community has been working to develop transparent procedures for ethics and governance. We have a governance committee and an independent data access committee, and network policies have been defined for data sharing and data access. |
Impact | See www.malariagen.net for data resources and web applications produced by the network. Major recent outputs include: Anopheles gambiae 1000 Genomes Consortium. Genetic diversity of the African malaria vector Anopheles gambiae. Nature 2017. 552:96-100. doi: 10.1038/nature24995. PMID:29186111 (Miles and Kwiatkowski are corresponding authors). This is the largest data resource on mosquito genome variation and population genetics. It identifies over 50 million SNPs, with evidence of ancient population expansions and recent bottlenecks, and strong selective sweeps of insecticide-resistance spreading over large geographical distances and between species. All the data were released open access as soon as available (www.malariagen.net/apps/ag1000g ) Leffler EM, Band G, Busby GBJ, Kivinen K, Le QS, Clarke GM, Bojang KA, Conway DJ, Jallow M, Sisay-Joof F, Bougouma EC, Mangano VD, Modiano D, Sirima SB, Achidi E, Apinjoh TO, Marsh K, Ndila CM, Peshu N, Williams TN, Drakeley C, Manjurano A, Reyburn H, Riley E, Kachala D, Molyneux M, Nyirongo V, Taylor T, Thornton N, Tilley L, Grimsley S, Drury E, Stalker J, Cornelius V, Hubbart C, Jeffreys AE, Rowlands K, Rockett KA, Spencer CCA, Kwiatkowski DP; Malaria Genomic Epidemiology Network. Resistance to malaria through structural variation of red blood cell invasion receptors. Science 2017. 356(6343). pii: eaam6393. doi: 10.1126/science.aam6393. PMID: 28522690. By combining GWAS data with genome sequence data from diverse African populations, we discovered a complex structural rearrangement involving the loss of GYPB and gain of two GYPB-A hybrid genes, which reduces the risk of severe malaria by 40%. These findings link structural variation of red blood cell invasion receptors with natural resistance to severe malaria. |
Description | Plasmodium Diversity Network Africa |
Organisation | Addis Ababa University |
Department | Aklilu Lemma Institute of Pathobiology |
Country | Ethiopia |
Sector | Academic/University |
PI Contribution | CGGH has provided small starter grants to PDNA, in part by MRC Centenary Award, as part of our mission to support the training and capacity development of early career African scientists. CGGH continues to support PDNA is various ways including supporting training and providing mentor ship. |
Collaborator Contribution | The Plasmodium Diversity Network Africa (PDNA) is a partnership of African scientists working together to determine the diversity of the malaria parasite in sub-Saharan Africa and by using this data, inform malaria control policy. PDNA members are leading research programmes in their own contexts and are part of the training and capacity development of early career African scientists. |
Impact | Since established there are two PDNA led publications and £5m grant funding through the Wellcome Trust Developing Excellence in Leadership, Training and Science Initiative. |
Start Year | 2013 |
Description | Plasmodium Diversity Network Africa |
Organisation | Congo National Institute of Biomedical Research |
Country | Congo, the Democratic Republic of the |
Sector | Academic/University |
PI Contribution | CGGH has provided small starter grants to PDNA, in part by MRC Centenary Award, as part of our mission to support the training and capacity development of early career African scientists. CGGH continues to support PDNA is various ways including supporting training and providing mentor ship. |
Collaborator Contribution | The Plasmodium Diversity Network Africa (PDNA) is a partnership of African scientists working together to determine the diversity of the malaria parasite in sub-Saharan Africa and by using this data, inform malaria control policy. PDNA members are leading research programmes in their own contexts and are part of the training and capacity development of early career African scientists. |
Impact | Since established there are two PDNA led publications and £5m grant funding through the Wellcome Trust Developing Excellence in Leadership, Training and Science Initiative. |
Start Year | 2013 |
Description | Plasmodium Diversity Network Africa |
Organisation | Cote D'Ivoire's National Institute of Public Health |
Department | Malaria Research and Control Centre |
Country | Cote d'Ivoire |
Sector | Public |
PI Contribution | CGGH has provided small starter grants to PDNA, in part by MRC Centenary Award, as part of our mission to support the training and capacity development of early career African scientists. CGGH continues to support PDNA is various ways including supporting training and providing mentor ship. |
Collaborator Contribution | The Plasmodium Diversity Network Africa (PDNA) is a partnership of African scientists working together to determine the diversity of the malaria parasite in sub-Saharan Africa and by using this data, inform malaria control policy. PDNA members are leading research programmes in their own contexts and are part of the training and capacity development of early career African scientists. |
Impact | Since established there are two PDNA led publications and £5m grant funding through the Wellcome Trust Developing Excellence in Leadership, Training and Science Initiative. |
Start Year | 2013 |
Description | Plasmodium Diversity Network Africa |
Organisation | Medical Research Council (MRC) |
Department | MRC Unit, The Gambia |
Country | Gambia |
Sector | Public |
PI Contribution | CGGH has provided small starter grants to PDNA, in part by MRC Centenary Award, as part of our mission to support the training and capacity development of early career African scientists. CGGH continues to support PDNA is various ways including supporting training and providing mentor ship. |
Collaborator Contribution | The Plasmodium Diversity Network Africa (PDNA) is a partnership of African scientists working together to determine the diversity of the malaria parasite in sub-Saharan Africa and by using this data, inform malaria control policy. PDNA members are leading research programmes in their own contexts and are part of the training and capacity development of early career African scientists. |
Impact | Since established there are two PDNA led publications and £5m grant funding through the Wellcome Trust Developing Excellence in Leadership, Training and Science Initiative. |
Start Year | 2013 |
Description | Plasmodium Diversity Network Africa |
Organisation | National Institute for Medical Research, Tanzania |
Department | NIMR Mbeya Research Centre |
Country | Tanzania, United Republic of |
Sector | Academic/University |
PI Contribution | CGGH has provided small starter grants to PDNA, in part by MRC Centenary Award, as part of our mission to support the training and capacity development of early career African scientists. CGGH continues to support PDNA is various ways including supporting training and providing mentor ship. |
Collaborator Contribution | The Plasmodium Diversity Network Africa (PDNA) is a partnership of African scientists working together to determine the diversity of the malaria parasite in sub-Saharan Africa and by using this data, inform malaria control policy. PDNA members are leading research programmes in their own contexts and are part of the training and capacity development of early career African scientists. |
Impact | Since established there are two PDNA led publications and £5m grant funding through the Wellcome Trust Developing Excellence in Leadership, Training and Science Initiative. |
Start Year | 2013 |
Description | Plasmodium Diversity Network Africa |
Organisation | Navrongo Health Research Centre (NHRC) |
Country | Ghana |
Sector | Academic/University |
PI Contribution | CGGH has provided small starter grants to PDNA, in part by MRC Centenary Award, as part of our mission to support the training and capacity development of early career African scientists. CGGH continues to support PDNA is various ways including supporting training and providing mentor ship. |
Collaborator Contribution | The Plasmodium Diversity Network Africa (PDNA) is a partnership of African scientists working together to determine the diversity of the malaria parasite in sub-Saharan Africa and by using this data, inform malaria control policy. PDNA members are leading research programmes in their own contexts and are part of the training and capacity development of early career African scientists. |
Impact | Since established there are two PDNA led publications and £5m grant funding through the Wellcome Trust Developing Excellence in Leadership, Training and Science Initiative. |
Start Year | 2013 |
Description | Plasmodium Diversity Network Africa |
Organisation | Noguchi Memorial Institute for Medical Research (NMRR) |
Country | Ghana |
Sector | Academic/University |
PI Contribution | CGGH has provided small starter grants to PDNA, in part by MRC Centenary Award, as part of our mission to support the training and capacity development of early career African scientists. CGGH continues to support PDNA is various ways including supporting training and providing mentor ship. |
Collaborator Contribution | The Plasmodium Diversity Network Africa (PDNA) is a partnership of African scientists working together to determine the diversity of the malaria parasite in sub-Saharan Africa and by using this data, inform malaria control policy. PDNA members are leading research programmes in their own contexts and are part of the training and capacity development of early career African scientists. |
Impact | Since established there are two PDNA led publications and £5m grant funding through the Wellcome Trust Developing Excellence in Leadership, Training and Science Initiative. |
Start Year | 2013 |
Description | Plasmodium Diversity Network Africa |
Organisation | Pasteur Institute of Madagascar |
Country | Madagascar |
Sector | Academic/University |
PI Contribution | CGGH has provided small starter grants to PDNA, in part by MRC Centenary Award, as part of our mission to support the training and capacity development of early career African scientists. CGGH continues to support PDNA is various ways including supporting training and providing mentor ship. |
Collaborator Contribution | The Plasmodium Diversity Network Africa (PDNA) is a partnership of African scientists working together to determine the diversity of the malaria parasite in sub-Saharan Africa and by using this data, inform malaria control policy. PDNA members are leading research programmes in their own contexts and are part of the training and capacity development of early career African scientists. |
Impact | Since established there are two PDNA led publications and £5m grant funding through the Wellcome Trust Developing Excellence in Leadership, Training and Science Initiative. |
Start Year | 2013 |
Description | Plasmodium Diversity Network Africa |
Organisation | University of Bamako |
Department | Malaria Research and Training Centre (MRTC) Bamako |
Country | Mali |
Sector | Academic/University |
PI Contribution | CGGH has provided small starter grants to PDNA, in part by MRC Centenary Award, as part of our mission to support the training and capacity development of early career African scientists. CGGH continues to support PDNA is various ways including supporting training and providing mentor ship. |
Collaborator Contribution | The Plasmodium Diversity Network Africa (PDNA) is a partnership of African scientists working together to determine the diversity of the malaria parasite in sub-Saharan Africa and by using this data, inform malaria control policy. PDNA members are leading research programmes in their own contexts and are part of the training and capacity development of early career African scientists. |
Impact | Since established there are two PDNA led publications and £5m grant funding through the Wellcome Trust Developing Excellence in Leadership, Training and Science Initiative. |
Start Year | 2013 |
Description | Plasmodium Diversity Network Africa |
Organisation | University of Buea |
Department | Department of Biochemistry and Microbiology |
Country | Cameroon |
Sector | Academic/University |
PI Contribution | CGGH has provided small starter grants to PDNA, in part by MRC Centenary Award, as part of our mission to support the training and capacity development of early career African scientists. CGGH continues to support PDNA is various ways including supporting training and providing mentor ship. |
Collaborator Contribution | The Plasmodium Diversity Network Africa (PDNA) is a partnership of African scientists working together to determine the diversity of the malaria parasite in sub-Saharan Africa and by using this data, inform malaria control policy. PDNA members are leading research programmes in their own contexts and are part of the training and capacity development of early career African scientists. |
Impact | Since established there are two PDNA led publications and £5m grant funding through the Wellcome Trust Developing Excellence in Leadership, Training and Science Initiative. |
Start Year | 2013 |
Description | Plasmodium Diversity Network Africa |
Organisation | University of Health Sciences, Gabon |
Country | Gabon |
Sector | Academic/University |
PI Contribution | CGGH has provided small starter grants to PDNA, in part by MRC Centenary Award, as part of our mission to support the training and capacity development of early career African scientists. CGGH continues to support PDNA is various ways including supporting training and providing mentor ship. |
Collaborator Contribution | The Plasmodium Diversity Network Africa (PDNA) is a partnership of African scientists working together to determine the diversity of the malaria parasite in sub-Saharan Africa and by using this data, inform malaria control policy. PDNA members are leading research programmes in their own contexts and are part of the training and capacity development of early career African scientists. |
Impact | Since established there are two PDNA led publications and £5m grant funding through the Wellcome Trust Developing Excellence in Leadership, Training and Science Initiative. |
Start Year | 2013 |
Description | Admixture into and within sub-Saharan Africa |
Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Media (as a channel to the public) |
Results and Impact | Press release for eLife publication. |
Year(s) Of Engagement Activity | 2016 |
URL | https://www.malariagen.net/news-events/press-release/scientists-reveal-sub-saharan-africa-legacy-pas... |
Description | Evolution and expansion of multidrug resistant malaria in Southeast Asia: a genomic epidemiology study. |
Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Media (as a channel to the public) |
Results and Impact | Press release for Evolution and expansion of multidrug resistant malaria in Southeast Asia: a genomic epidemiology study. |
Year(s) Of Engagement Activity | 2019 |
URL | https://www.malariagen.net/news-events/press-release/multi-drug-resistant-malaria-spreading-asia |
Description | Genetic markers associated with dihydroartemisinin-piperaquine failure in Plasmodium falciparum malaria in Cambodia: a genotype-phenotype association study |
Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Media (as a channel to the public) |
Results and Impact | Press release for Lancet Infectious Diseases publication |
Year(s) Of Engagement Activity | 2016 |
URL | https://www.malariagen.net/news-events/press-release/genetic-marker-found-resistance-malaria-treatme... |
Description | Genomic analysis of local variation and recent evolution in Plasmodium vivax |
Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Media (as a channel to the public) |
Results and Impact | Press release for Nature Genetics publication |
Year(s) Of Engagement Activity | 2016 |
URL | https://www.malariagen.net/news-events/press-release/monitoring-malaria-parasite-reveals-evolving-dr... |
Description | Major subpopulations of Plasmodium falciparum in sub-Saharan Africa |
Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Media (as a channel to the public) |
Results and Impact | N/A |
Year(s) Of Engagement Activity | 2019 |
URL | https://www.sanger.ac.uk/news/view/malaria-control-success-africa-risk-spread-multi-drug-resistance |