An open dataset of <i>Plasmodium vivax</i> genome variation in 1,895 worldwide samples.
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Authors
Adam, Ishag
Alemu, Sisay
Amaratunga, Chanaki
Amato, Roberto
Andrianaranjaka, Voahangy
Anstey, Nicholas M
Aseffa, Abraham
Assefa, Ashenafi
Auburn, Sarah
Barry, Alyssa
Cao, Jun
Chau, Nguyen Hoang
Chotivanich, Kesinee
Drury, Eleanor
Erko, Berhanu
Fairhurst, Rick
Fernanda Villegas, María
Gao, Qi
Goncalves, Sonia
Hamedi, Yaghoob
Hien, Tran Tinh
Htut, Ye
Johnson, Kimberly J
Khan, Wasif
Krudsood, Srivicha
Lacerda, Marcus
Lim, Pharath
Liu, Yaobao
Llanos-Cuentas, Alejandro
Lon, Chanthap
Lopera-Mesa, Tatiana
Marfurt, Jutta
Michon, Pascal
Mohammed, Rezika
Mueller, Ivo
Namaik-Larp, Chayadol
Newton, Paul N
Noviyanti, Rintis
Pava, Zuleima
Petros, Beyene
Pukrittayakamee, Sasithon
Rahim, Awab Ghulam
Randrianarivelojosia, Milijaona
Rumaseb, Angela
Siegel, Sasha V
Simpson, Victoria J
Thriemer, Kamala
Tobon-Castano, Alberto
Trimarsanto, Hidayat
Vélez, Ivan D
Wangchuk, Sonam
White, Nicholas J
William, Timothy
Publication Date
2022-04-14Journal Title
Wellcome open research
ISSN
2398-502X
Volume
7
Language
eng
Type
Article
This Version
VoR
Metadata
Show full item recordCitation
Adam, I., Alam, M. S., Alemu, S., Amaratunga, C., Amato, R., Andrianaranjaka, V., Anstey, N. M., et al. (2022). An open dataset of <i>Plasmodium vivax</i> genome variation in 1,895 worldwide samples.. Wellcome open research, 7 https://doi.org/10.12688/wellcomeopenres.17795.1
Abstract
This report describes the MalariaGEN Pv4 dataset, a new release of curated genome variation data on 1,895 samples of <i>Plasmodium vivax</i> 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 <i>dhfr</i>, <i>dhps</i> and <i>mdr1</i> 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 <i>P. vivax</i> and to accelerate genomic surveillance for malaria control and elimination.
Keywords
Malaria, Genomics, Plasmodium vivax, Genomic Epidemiology, Data Resource
Sponsorship
Wellcome Trust (108413/A/15/D, 204911, 206194)
Identifiers
PMC9127374, 35651694
External DOI: https://doi.org/10.12688/wellcomeopenres.17795.1
This record's URL: https://www.repository.cam.ac.uk/handle/1810/338715
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