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Título : An open dataset of Plasmodium vivax genome variation in 1,895 worldwide samples
Autor : Lopera Mesa, Tatiana María
Tobón Castaño, Alberto
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
Gonçalves, Sonia
Grigg, Matthew J.
Hamedi, Yaghoob
Tran Tinh, Hien
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
Adam, Ishag
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
Alam, Mohammad Shafiul
Trimarsanto, Hidayat
Urbano Ferreira, Marcelo
Vélez, Iván D.
Wangchuk, Sonam
Wellems, Thomas E.
White, Nicholas J.
William, Timothy
Yasnot, María F.
Yilma, Daniel
metadata.dc.subject.*: Genómica
Genomics
Malaria
Plasmodium vivax
Conjunto de Datos
Dataset
https://id.nlm.nih.gov/mesh/D023281
https://id.nlm.nih.gov/mesh/D008288
https://id.nlm.nih.gov/mesh/D010966
https://id.nlm.nih.gov/mesh/D064886
metadata.dc.contributor.corporatename: MalariaGEN
Fecha de publicación : 2022
Editorial : Wellcome Trust
F1000Research
Citación : 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 TN, 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. An open dataset of Plasmodium vivax genome variation in 1,895 worldwide samples. Wellcome Open Res. 2022 Apr 14;7:136. doi: 10.12688/wellcomeopenres.17795.1.
Resumen : 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. Keywords: data resource; genomic epidemiology; genomics; malaria; plasmodium vivax.
metadata.dc.identifier.eissn: 2398-502X
metadata.dc.identifier.doi: 10.12688/wellcomeopenres.17795.1
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