An open dataset of Plasmodium vivax genome variation in 1,895 worldwide samples
This report describes the MalariaGEN Pv4 dataset, a new release of curated genome variation data on 1,895 samples of 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 sam...
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Published in: | Wellcome open research Vol. 7; p. 136 |
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Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
England
F1000 Research Limited
2022
Wellcome |
Subjects: | |
Online Access: | Get full text |
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Summary: | This report describes the MalariaGEN Pv4 dataset, a new release of curated genome variation data on 1,895 samples of
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
,
and
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
and to accelerate genomic surveillance for malaria control and elimination. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Simpson, VJ, Amato, R, Goncalves, S, Johnson, KJ, Miotto, O, Pearson, RD, Kwiatkowski, DP Local study design, implementation and sample collection Adam, I, Alam, MS, Alemu, S, Amaratunga, C, 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, A, Echeverry, DF, Erko, B, Espino, F, Fairhurst, R, Faiz, A, Fernanda Villegas, M, Gao, Q, Golassa, L, Grigg, MJ, Hamedi, Y, Hien, TT, Htut, Y, Karunaweera, N, Khan, W, Krudsood, S, Lacerda, M, Ley, B, Lim, P, Liu, Y, Llanos-Cuentas, A, Lon, C, Lopera-Mesa, T, Marfurt, J, Michon, P, Mohammed, R, Mueller, I, Namaik-larp, C, Newton, PN, Nguyen, T, Nosten, F, Noviyanti, R, Pava, Z, Petros, B, Phyo, AP, Price, RN, Pukrittayakamee, S, Rahim, AG, Randrianarivelojosia, M, Rayner, JC, Rumaseb, A, Thriemer, K, Tobon-Castano, A, Trimarsanto, H, Urbano Ferreira, M, Vélez, ID, Wangchuk, S, Wellems, TE, White, NJ, William, T, Yasnot, MF, Yilma, D No competing interests were disclosed. Pearson, RD, Amato, R, Siegel, SV, Kwiatkowski, DP Sequencing, data production and informatics Pearson, RD, Drury, E, Amato, R, Goncalves, S Data analysis group Partner study support and coordination |
ISSN: | 2398-502X 2398-502X |
DOI: | 10.12688/wellcomeopenres.17795.1 |