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    A Decade of Progress Accelerating Malaria Control in Mali: Evidence from the West Africa International Center of Excellence for Malaria Research.
    Doumbia, S ; Sogoba, N ; Diakite, M ; Toure, M ; Keita, M ; Konaté, D ; Diawara, SI ; Diarra, A ; Sanogo, D ; Kane, F ; Diakite, SAS ; Traore, K ; Thiam, SM ; Traoré, SF ; Cisse, I ; Mihigo, J ; Coulibaly, MB ; Dabitao, D ; Alifrangis, M ; Barry, AE ; Müller, GC ; Beier, JC ; Shaffer, JG (American Society of Tropical Medicine and Hygiene, 2022-10-11)
    This article highlights over a decade of signature achievements by the West Africa International Centers for Excellence in Malaria Research (WA-ICEMR) and its partners toward guiding malaria prevention and control strategies. Since 2010, the WA-ICEMR has performed longitudinal studies to monitor and assess malaria control interventions with respect to space-time patterns, vector transmission indicators, and drug resistance markers. These activities were facilitated and supported by the Mali National Malaria Control Program. Research activities included large-scale active and passive surveillance and expanded coverage of universal long-lasting insecticide-treated bed nets and seasonal malaria chemoprevention (SMC). The findings revealed substantial declines in malaria occurrence after the scale-up of control interventions in WA-ICEMR study sites. WA-ICEMR studies showed that SMC using sulfadoxine-pyrimethamine plus amodiaquine was highly effective in preventing malaria among children under 5 years of age. An alternative SMC regimen (dihydroartemisinin plus piperaquine) was shown to be potentially more effective and provided advantages for acceptability and compliance over the standard SMC regimen. Other findings discussed in this article include higher observed multiplicity of infection rates for malaria in historically high-endemic areas, continued antimalarial drug sensitivity to Plasmodium falciparum, high outdoor malaria transmission rates, and increased insecticide resistance over the past decade. The progress achieved by the WA-ICEMR and its partners highlights the critical need for maintaining current malaria control interventions while developing novel strategies to disrupt malaria transmission. Enhanced evaluation of these strategies through research partnerships is particularly needed in the wake of reported artemisinin resistance in Southeast Asia and East Africa.
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    The West Africa ICEMR Partnerships for Guiding Policy to Improve the Malaria Prevention and Control.
    Doumbia, S ; Toure, M ; Sogoba, N ; Alifrangis, M ; Diakite, M ; Diarra, A ; Keita, M ; Konaté, D ; Diawara, SI ; Thiam, SM ; Keita, S ; Tounkara, M ; Cissé, I ; Sanogo, V ; Magassa, MH ; Barry, AE ; Winch, PJ ; Marker, HC ; Shaffer, JG ; Traoré, SF ; Müller, GC ; Cui, L ; Beier, JC ; Mihigo, J (American Society of Tropical Medicine and Hygiene, 2022-10-11)
    The Mali National Malaria Control Program (NMCP) recently established a phased set of goals for eliminating malaria in Mali by 2030. Over the past decade, the scale-up of NMCP-led malaria control interventions has led to considerable progress, as evidenced by multiple malariometric indicators. The West Africa International Center of Excellence in Malaria Research (WA-ICEMR) is a multidisciplinary research program that works closely with the NMCP and its partners to address critical research needs for malaria control. This coordinated effort includes assessing the effectiveness of control interventions based on key malaria research topics, including immune status, parasite genetic diversity, insecticide and drug resistance, diagnostic accuracy, malaria vector populations and biting behaviors, and vectorial capacity. Several signature accomplishments of the WA-ICEMR include identifying changing malaria age demographic profiles, testing innovative approaches to improve control strategies, and providing regular reporting on drug and insecticide resistance status. The NMCP and WA-ICEMR partnership between the WA-ICEMR and the NMCP offers a comprehensive research platform that informs the design and implementation of malaria prevention and control research programs. These efforts build local expertise and capacity for the next generation of malaria researchers and guide local policy, which is crucial in sustaining efforts toward eliminating malaria in West Africa.
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    Asia-Pacific ICEMR: Understanding Malaria Transmission to Accelerate Malaria Elimination in the Asia Pacific Region
    Mueller, I ; Vantaux, A ; Karl, S ; Laman, M ; Witkowski, B ; Pepey, A ; Vinit, R ; White, M ; Barry, A ; Beeson, JG ; Robinson, LJ (AMER SOC TROP MED & HYGIENE, 2022-10)
    Gaining an in-depth understanding of malaria transmission requires integrated, multifaceted research approaches. The Asia-Pacific International Center of Excellence in Malaria Research (ICEMR) is applying specifically developed molecular and immunological assays, in-depth entomological assessments, and advanced statistical and mathematical modeling approaches to a rich series of longitudinal cohort and cross-sectional studies in Papua New Guinea and Cambodia. This is revealing both the essential contribution of forest-based transmission and the particular challenges posed by Plasmodium vivax to malaria elimination in Cambodia. In Papua New Guinea, these studies document the complex host-vector-parasite interactions that are underlying both the stunning reductions in malaria burden from 2006 to 2014 and the significant resurgence in transmission in 2016 to 2018. Here we describe the novel analytical, surveillance, molecular, and immunological tools that are being applied in our ongoing Asia-Pacific ICEMR research program.
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    A molecular barcode and web-based data analysis tool to identify imported Plasmodium vivax malaria
    Trimarsanto, H ; Amato, R ; Pearson, RD ; Sutanto, E ; Noviyanti, R ; Trianty, L ; Marfurt, J ; Pava, Z ; Echeverry, DF ; Lopera-Mesa, TM ; Montenegro, LM ; Tobon-Castano, A ; Grigg, MJ ; Barber, B ; William, T ; Anstey, NM ; Getachew, S ; Petros, B ; Aseffa, A ; Assefa, A ; Rahim, AG ; Chau, NH ; Hien, TT ; Alam, MS ; Khan, WA ; Ley, B ; Thriemer, K ; Wangchuck, S ; Hamedi, Y ; Adam, I ; Liu, Y ; Gao, Q ; Sriprawat, K ; Ferreira, MU ; Laman, M ; Barry, A ; Mueller, I ; Lacerda, MVG ; Llanos-Cuentas, A ; Krudsood, S ; Lon, C ; Mohammed, R ; Yilma, D ; Pereira, DB ; Espino, FEJ ; Chu, CS ; Velez, ID ; Namaik-larp, C ; Villegas, MF ; Green, JA ; Koh, G ; Rayner, JC ; Drury, E ; Goncalves, S ; Simpson, V ; Miotto, O ; Miles, A ; White, NJ ; Nosten, F ; Kwiatkowski, DP ; Price, RN ; Auburn, S (NATURE PORTFOLIO, 2022-12-23)
    Traditionally, patient travel history has been used to distinguish imported from autochthonous malaria cases, but the dormant liver stages of Plasmodium vivax confound this approach. Molecular tools offer an alternative method to identify, and map imported cases. Using machine learning approaches incorporating hierarchical fixation index and decision tree analyses applied to 799 P. vivax genomes from 21 countries, we identified 33-SNP, 50-SNP and 55-SNP barcodes (GEO33, GEO50 and GEO55), with high capacity to predict the infection's country of origin. The Matthews correlation coefficient (MCC) for an existing, commonly applied 38-SNP barcode (BR38) exceeded 0.80 in 62% countries. The GEO panels outperformed BR38, with median MCCs > 0.80 in 90% countries at GEO33, and 95% at GEO50 and GEO55. An online, open-access, likelihood-based classifier framework was established to support data analysis (vivaxGEN-geo). The SNP selection and classifier methods can be readily amended for other use cases to support malaria control programs.
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    VIVID A Web Application for Variant Interpretation and Visualization in Multi-dimensional Analyses
    Tichkule, S ; Myung, Y ; Naung, MT ; Ansell, BRE ; Guy, AJ ; Srivastava, N ; Mehra, S ; Caccio, SM ; Mueller, I ; Barry, AE ; van Oosterhout, C ; Pope, B ; Ascher, DB ; Jex, AR ; Teeling, E (OXFORD UNIV PRESS, 2022-09-01)
    Large-scale comparative genomics- and population genetic studies generate enormous amounts of polymorphism data in the form of DNA variants. Ultimately, the goal of many of these studies is to associate genetic variants to phenotypes or fitness. We introduce VIVID, an interactive, user-friendly web application that integrates a wide range of approaches for encoding genotypic to phenotypic information in any organism or disease, from an individual or population, in three-dimensional (3D) space. It allows mutation mapping and annotation, calculation of interactions and conservation scores, prediction of harmful effects, analysis of diversity and selection, and 3D visualization of genotypic information encoded in Variant Call Format on AlphaFold2 protein models. VIVID enables the rapid assessment of genes of interest in the study of adaptive evolution and the genetic load, and it helps prioritizing targets for experimental validation. We demonstrate the utility of VIVID by exploring the evolutionary genetics of the parasitic protist Plasmodium falciparum, revealing geographic variation in the signature of balancing selection in potential targets of functional antibodies.
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    An open dataset of Plasmodium vivax genome variation in 1,895 worldwide samples.
    MalariaGEN, ; Adam, I ; Alam, MS ; Alemu, S ; Amaratunga, C ; Amato, R ; Andrianaranjaka, V ; Anstey, NM ; Aseffa, A ; Ashley, E ; Assefa, A ; Auburn, S ; Barber, BE ; Barry, A ; Batista Pereira, D ; Cao, J ; Chau, NH ; Chotivanich, K ; Chu, C ; Dondorp, AM ; Drury, E ; Echeverry, DF ; Erko, B ; Espino, F ; Fairhurst, R ; Faiz, A ; Fernanda Villegas, M ; Gao, Q ; Golassa, L ; Goncalves, S ; Grigg, MJ ; Hamedi, Y ; Hien, TT ; Htut, Y ; Johnson, KJ ; Karunaweera, N ; Khan, W ; Krudsood, S ; Kwiatkowski, DP ; Lacerda, M ; Ley, B ; Lim, P ; Liu, Y ; Llanos-Cuentas, A ; Lon, C ; Lopera-Mesa, T ; Marfurt, J ; Michon, P ; Miotto, O ; Mohammed, R ; Mueller, I ; Namaik-Larp, C ; Newton, PN ; Nguyen, T-N ; Nosten, F ; Noviyanti, R ; Pava, Z ; Pearson, RD ; Petros, B ; Phyo, AP ; Price, RN ; Pukrittayakamee, S ; Rahim, AG ; Randrianarivelojosia, M ; Rayner, JC ; Rumaseb, A ; Siegel, SV ; Simpson, VJ ; Thriemer, K ; Tobon-Castano, A ; Trimarsanto, H ; Urbano Ferreira, M ; Vélez, ID ; Wangchuk, S ; Wellems, TE ; White, NJ ; William, T ; Yasnot, MF ; Yilma, D (F1000 Research Ltd, 2022)
    This report describes the MalariaGEN Pv4 dataset, a new release of curated genome variation data on 1,895 samples of Plasmodium vivax collected at 88 worldwide locations between 2001 and 2017. It includes 1,370 new samples contributed by MalariaGEN and VivaxGEN partner studies in addition to previously published samples from these and other sources. We provide genotype calls at over 4.5 million variable positions including over 3 million single nucleotide polymorphisms (SNPs), as well as short indels and tandem duplications. This enlarged dataset highlights major compartments of parasite population structure, with clear differentiation between Africa, Latin America, Oceania, Western Asia and different parts of Southeast Asia. Each sample has been classified for drug resistance to sulfadoxine, pyrimethamine and mefloquine based on known markers at the dhfr, dhps and mdr1 loci. The prevalence of all of these resistance markers was much higher in Southeast Asia and Oceania than elsewhere. This open resource of analysis-ready genome variation data from the MalariaGEN and VivaxGEN networks is driven by our collective goal to advance research into the complex biology of P. vivax and to accelerate genomic surveillance for malaria control and elimination.
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    An open dataset of Plasmodium falciparum genome variation in 7,000 worldwide samples.
    MalariaGEN, ; Ahouidi, A ; Ali, M ; Almagro-Garcia, J ; Amambua-Ngwa, A ; Amaratunga, C ; Amato, R ; Amenga-Etego, L ; Andagalu, B ; Anderson, TJC ; Andrianaranjaka, V ; Apinjoh, T ; Ariani, C ; Ashley, EA ; Auburn, S ; Awandare, GA ; Ba, H ; Baraka, V ; Barry, AE ; Bejon, P ; Bertin, GI ; Boni, MF ; Borrmann, S ; Bousema, T ; Branch, O ; Bull, PC ; Busby, GBJ ; Chookajorn, T ; Chotivanich, K ; Claessens, A ; Conway, D ; Craig, A ; D'Alessandro, U ; Dama, S ; Day, NP ; Denis, B ; Diakite, M ; Djimdé, A ; Dolecek, C ; Dondorp, AM ; Drakeley, C ; Drury, E ; Duffy, P ; Echeverry, DF ; Egwang, TG ; Erko, B ; Fairhurst, RM ; Faiz, A ; Fanello, CA ; Fukuda, MM ; Gamboa, D ; Ghansah, A ; Golassa, L ; Goncalves, S ; Hamilton, WL ; Harrison, GLA ; Hart, L ; Henrichs, C ; Hien, TT ; Hill, CA ; Hodgson, A ; Hubbart, C ; Imwong, M ; Ishengoma, DS ; Jackson, SA ; Jacob, CG ; Jeffery, B ; Jeffreys, AE ; Johnson, KJ ; Jyothi, D ; Kamaliddin, C ; Kamau, E ; Kekre, M ; Kluczynski, K ; Kochakarn, T ; Konaté, A ; Kwiatkowski, DP ; Kyaw, MP ; Lim, P ; Lon, C ; Loua, KM ; Maïga-Ascofaré, O ; Malangone, C ; Manske, M ; Marfurt, J ; Marsh, K ; Mayxay, M ; Miles, A ; Miotto, O ; Mobegi, V ; Mokuolu, OA ; Montgomery, J ; Mueller, I ; Newton, PN ; Nguyen, T ; Nguyen, T-N ; Noedl, H ; Nosten, F ; Noviyanti, R ; Nzila, A ; Ochola-Oyier, LI ; Ocholla, H ; Oduro, A ; Omedo, I ; Onyamboko, MA ; Ouedraogo, J-B ; Oyebola, K ; Pearson, RD ; Peshu, N ; Phyo, AP ; Plowe, CV ; Price, RN ; Pukrittayakamee, S ; Randrianarivelojosia, M ; Rayner, JC ; Ringwald, P ; Rockett, KA ; Rowlands, K ; Ruiz, L ; Saunders, D ; Shayo, A ; Siba, P ; Simpson, VJ ; Stalker, J ; Su, X-Z ; Sutherland, C ; Takala-Harrison, S ; Tavul, L ; Thathy, V ; Tshefu, A ; Verra, F ; Vinetz, J ; Wellems, TE ; Wendler, J ; White, NJ ; Wright, I ; Yavo, W ; Ye, H (F1000 Research Ltd, 2021)
    MalariaGEN is a data-sharing network that enables groups around the world to work together on the genomic epidemiology of malaria. Here we describe a new release of curated genome variation data on 7,000 Plasmodium falciparum samples from MalariaGEN partner studies in 28 malaria-endemic countries. High-quality genotype calls on 3 million single nucleotide polymorphisms (SNPs) and short indels were produced using a standardised analysis pipeline. Copy number variants associated with drug resistance and structural variants that cause failure of rapid diagnostic tests were also analysed.  Almost all samples showed genetic evidence of resistance to at least one antimalarial drug, and some samples from Southeast Asia carried markers of resistance to six commonly-used drugs. Genes expressed during the mosquito stage of the parasite life-cycle are prominent among loci that show strong geographic differentiation. By continuing to enlarge this open data resource we aim to facilitate research into the evolutionary processes affecting malaria control and to accelerate development of the surveillance toolkit required for malaria elimination.
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    STRIVE PNG: using a partnership-based approach in implementation research to strengthen surveillance and health systems in Papua New Guinea
    Farquhar, R ; Dori, A ; MacCana, S ; Tefuarani, N ; Lavu, E ; Barry, A ; Karl, S ; Makita, L ; Robinson, L ; Laman, M (BMC, 2022-04-02)
    Successful implementation research requires effective and equitable relationships between policy-makers, researchers and implementers to effect evidence-based systems change. However, mainstream research grant models between Global North and Global South institutions often (unintentionally) reinforce power imbalances between partners, which result in missed opportunities for knowledge and learning exchange between policy-makers, researchers and implementers.This case study, centred on the STRIVE PNG project, describes how a partnership-based approach has been used to establish, maintain and review effective and equitable relationships between 13 partner organizations (independent research institutes, government health agencies and public health laboratories) to strengthen surveillance and health systems in Papua New Guinea (PNG). We provide an overview of key terms (with supporting conceptual frameworks), describe selected partnership processes and tools used within the project, and share observations regarding early outcomes achieved through this approach.
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    Global diversity and balancing selection of 23 leading Plasmodium falciparum candidate vaccine antigens
    Naung, MT ; Martin, E ; Munro, J ; Mehra, S ; Guy, AJ ; Laman, M ; Harrison, GLA ; Tavul, L ; Hetzel, M ; Kwiatkowski, D ; Mueller, I ; Bahlo, M ; Barry, AE ; Wallqvist, A (PUBLIC LIBRARY SCIENCE, 2022-02)
    Investigation of the diversity of malaria parasite antigens can help prioritize and validate them as vaccine candidates and identify the most common variants for inclusion in vaccine formulations. Studies of vaccine candidates of the most virulent human malaria parasite, Plasmodium falciparum, have focused on a handful of well-known antigens, while several others have never been studied. Here we examine the global diversity and population structure of leading vaccine candidate antigens of P. falciparum using the MalariaGEN Pf3K (version 5.1) resource, comprising more than 2600 genomes from 15 malaria endemic countries. A stringent variant calling pipeline was used to extract high quality antigen gene 'haplotypes' from the global dataset and a new R-package named VaxPack was used to streamline population genetic analyses. In addition, a newly developed algorithm that enables spatial averaging of selection pressure on 3D protein structures was applied to the dataset. We analysed the genes encoding 23 leading and novel candidate malaria vaccine antigens including csp, trap, eba175, ama1, rh5, and CelTOS. Our analysis shows that current malaria vaccine formulations are based on rare haplotypes and thus may have limited efficacy against natural parasite populations. High levels of diversity with evidence of balancing selection was detected for most of the erythrocytic and pre-erythrocytic antigens. Measures of natural selection were then mapped to 3D protein structures to predict targets of functional antibodies. For some antigens, geographical variation in the intensity and distribution of these signals on the 3D structure suggests adaptation to different human host or mosquito vector populations. This study provides an essential framework for the diversity of P. falciparum antigens to be considered in the design of the next generation of malaria vaccines.
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    Population-level genome-wide STR discovery and validation for population structure and genetic diversity assessment of Plasmodium species
    Han, J ; Munro, J ; Kocoski, A ; Barry, A ; Bahlo, M ; Sirugo, G (PUBLIC LIBRARY SCIENCE, 2022-01)
    Short tandem repeats (STRs) are highly informative genetic markers that have been used extensively in population genetics analysis. They are an important source of genetic diversity and can also have functional impact. Despite the availability of bioinformatic methods that permit large-scale genome-wide genotyping of STRs from whole genome sequencing data, they have not previously been applied to sequencing data from large collections of malaria parasite field samples. Here, we have genotyped STRs using HipSTR in more than 3,000 Plasmodium falciparum and 174 Plasmodium vivax published whole-genome sequence data from samples collected across the globe. High levels of noise and variability in the resultant callset necessitated the development of a novel method for quality control of STR genotype calls. A set of high-quality STR loci (6,768 from P. falciparum and 3,496 from P. vivax) were used to study Plasmodium genetic diversity, population structures and genomic signatures of selection and these were compared to genome-wide single nucleotide polymorphism (SNP) genotyping data. In addition, the genome-wide information about genetic variation and other characteristics of STRs in P. falciparum and P. vivax have been available in an interactive web-based R Shiny application PlasmoSTR (https://github.com/bahlolab/PlasmoSTR).