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Your search keyword '"Grigg, Matthew J [0000-0001-9914-8352]"' showing total 2 results
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2 results on '"Grigg, Matthew J [0000-0001-9914-8352]"'

1. A molecular barcode and web-based data analysis tool to identify imported Plasmodium vivax malaria

Author

Hidayat Trimarsanto, Roberto Amato, Richard D. Pearson, Edwin Sutanto, Rintis Noviyanti, Leily Trianty, Jutta Marfurt, Zuleima Pava, Diego F. Echeverry, Tatiana M. Lopera-Mesa, Lidia M. Montenegro, Alberto Tobón-Castaño, Matthew J. Grigg, Bridget Barber, Timothy William, Nicholas M. Anstey, Sisay Getachew, Beyene Petros, Abraham Aseffa, Ashenafi Assefa, Awab G. Rahim, Nguyen H. Chau, Tran T. Hien, Mohammad S. Alam, Wasif A. Khan, Benedikt Ley, Kamala Thriemer, Sonam Wangchuck, Yaghoob Hamedi, Ishag Adam, Yaobao Liu, Qi Gao, Kanlaya Sriprawat, Marcelo U. Ferreira, Moses Laman, Alyssa Barry, Ivo Mueller, Marcus V. G. Lacerda, Alejandro Llanos-Cuentas, Srivicha Krudsood, Chanthap Lon, Rezika Mohammed, Daniel Yilma, Dhelio B. Pereira, Fe E. J. Espino, Cindy S. Chu, Iván D. Vélez, Chayadol Namaik-larp, Maria F. Villegas, Justin A. Green, Gavin Koh, Julian C. Rayner, Eleanor Drury, Sónia Gonçalves, Victoria Simpson, Olivo Miotto, Alistair Miles, Nicholas J. White, Francois Nosten, Dominic P. Kwiatkowski, Ric N. Price, Sarah Auburn, Pearson, Richard D [0000-0002-7386-3566], Sutanto, Edwin [0000-0002-2997-4648], Marfurt, Jutta [0000-0002-3846-0825], Echeverry, Diego F [0000-0003-0301-4478], Tobón-Castaño, Alberto [0000-0002-1671-2649], Grigg, Matthew J [0000-0001-9914-8352], Alam, Mohammad S [0000-0001-8330-5499], Khan, Wasif A [0000-0002-7650-8068], Ley, Benedikt [0000-0002-5734-0845], Mueller, Ivo [0000-0001-6554-6889], Lacerda, Marcus VG [0000-0003-3374-9985], Pereira, Dhelio B [0000-0002-7761-5498], Espino, Fe EJ [0000-0003-1690-1711], Koh, Gavin [0000-0002-7336-1566], Rayner, Julian C [0000-0002-9835-1014], Drury, Eleanor [0000-0002-9887-6961], Miotto, Olivo [0000-0001-8060-6771], Nosten, Francois [0000-0002-7951-0745], Kwiatkowski, Dominic P [0000-0002-5023-0176], Price, Ric N [0000-0003-2000-2874], Auburn, Sarah [0000-0002-4638-536X], and Apollo - University of Cambridge Repository

Subjects
Likelihood Functions, Internet, Molecular medicine, 45, Epidemiology, 692/308/2056, article, Medicine (miscellaneous), 631/114/1305, General Biochemistry, Genetics and Molecular Biology, 692/4017, Malaria, Genetics research, Machine learning, Malaria, Vivax, 692/699/255/1629, Humans, PLASMODIUM, 692/308/174, Plasmodium vivax, General Agricultural and Biological Sciences
Abstract

Funder: HT was supported by a Charles Darwin University International PhD Scholarship (CDIPS), Funder: Malaysian Ministry of Health (BP00500420), 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.

Published
2022

2. An open dataset of Plasmodium vivax genome variation in 1,895 worldwide samples

Author

Adam, Ishag, Alam, Mohammad Shafiul, Alemu, Sisay, Amaratunga, Chanaki, Amato, Roberto, Andrianaranjaka, Voahangy, Anstey, Nicholas M, Aseffa, Abraham, Ashley, Elizabeth, Assefa, Ashenafi, Auburn, Sarah, Barber, Bridget E, Barry, Alyssa, Batista Pereira, Dhelio, Cao, Jun, Chau, Nguyen Hoang, Chotivanich, Kesinee, Chu, Cindy, Dondorp, Arjen M, Drury, Eleanor, Echeverry, Diego F, Erko, Berhanu, Espino, Fe, Fairhurst, Rick, Faiz, Abdul, Fernanda Villegas, María, Gao, Qi, Golassa, Lemu, Goncalves, Sonia, Grigg, Matthew J, Hamedi, Yaghoob, Hien, Tran Tinh, Htut, Ye, Johnson, Kimberly J, Karunaweera, Nadira, Khan, Wasif, Krudsood, Srivicha, Kwiatkowski, Dominic P, Lacerda, Marcus, Ley, Benedikt, Lim, Pharath, Liu, Yaobao, Llanos-Cuentas, Alejandro, Lon, Chanthap, Lopera-Mesa, Tatiana, Marfurt, Jutta, Michon, Pascal, Miotto, Olivo, Mohammed, Rezika, Mueller, Ivo, Namaik-Larp, Chayadol, Newton, Paul N, Nguyen, Thuy-Nhien, Nosten, Francois, Noviyanti, Rintis, Pava, Zuleima, Pearson, Richard D, Petros, Beyene, Phyo, Aung P, Price, Ric N, Pukrittayakamee, Sasithon, Rahim, Awab Ghulam, Randrianarivelojosia, Milijaona, Rayner, Julian C, Rumaseb, Angela, Siegel, Sasha V, Simpson, Victoria J, Thriemer, Kamala, Tobon-Castano, Alberto, Trimarsanto, Hidayat, Urbano Ferreira, Marcelo, Vélez, Ivan D, Wangchuk, Sonam, Wellems, Thomas E, White, Nicholas J, William, Timothy, Yasnot, Maria F, Yilma, Daniel, Alam, Mohammad Shafiul [0000-0001-8330-5499], Ashley, Elizabeth [0000-0002-7620-4822], Barber, Bridget E [0000-0003-1066-7960], Batista Pereira, Dhelio [0000-0002-7761-5498], Chu, Cindy [0000-0001-9465-8214], Dondorp, Arjen M [0000-0001-5190-2395], Echeverry, Diego F [0000-0003-0301-4478], Espino, Fe [0000-0003-1690-1711], Faiz, Abdul [0000-0002-3460-7535], Golassa, Lemu [0000-0002-1216-8711], Grigg, Matthew J [0000-0001-9914-8352], Karunaweera, Nadira [0000-0003-3985-1817], Kwiatkowski, Dominic P [0000-0002-5023-0176], Ley, Benedikt [0000-0002-5734-0845], Miotto, Olivo [0000-0001-8060-6771], Nguyen, Thuy-Nhien [0000-0002-4101-5706], Nosten, Francois [0000-0002-7951-0745], Pearson, Richard D [0000-0002-7386-3566], Phyo, Aung P [0000-0002-0383-9624], Price, Ric N [0000-0003-2000-2874], Rayner, Julian C [0000-0002-9835-1014], Urbano Ferreira, Marcelo [0000-0002-5293-9090], Wellems, Thomas E [0000-0003-3899-8454], Yasnot, Maria F [0000-0001-8081-4212], Yilma, Daniel [0000-0001-6058-2696], and Apollo - University of Cambridge Repository

Subjects
parasitic diseases, Genomics, Genomic Epidemiology, Plasmodium vivax, Malaria, Data Resource
Abstract

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.

Published
2022

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