Malaria Genomic Epidemiology Network
Abdel Hamid MM
Abdelraheem MH
Acheampong DO
Adam I
Aide P
Ajibaye O
Ali M
Almagro-Garcia J
Amambua-Ngwa A
Amenga-Etego L
Aniebo I
Aninagyei E
Ansah F
Apinjoh TO
Ariani CV
Auburn S
Awandare GA
Balmer A
Bejon P
Boene S
Bwire G
Candrinho B
Chidimatembue A
Chindavongsa K
Comiche K
Conway D
Dara A
Diakite M
Djimde A
Dondorp A
Doumbia S
Drury E
Fanello CA
Ferdig M
Figueroa K
Gamboa D
Golassa L
Goncalves S
Guindo MDA
Hamaluba M
Hanboonkunupakarn B
Howe K
Hussien M
Imwong M
Ishengoma D
Jeans J
Kabaghe A
Kamuhabwa A
Kindermans JM
Konate DS
Kwiatkowski DP
Lee C
Lee SK
Lee SJ
Ley B
Llanos-Cuentas A
Marfurt J
Matambisso G
Maude RR
Maude RJ
Mayor A
Mayxay M
Maiga-Ascofare O
McCann RS
Miles A
Miotto O
Mohamed AO
Morang'a CM
Murie K
Ngasala BE
Nguyen TN
Nolasco O
Nosten F
Noviyanti R
O'Connor I
Oboh M
Ochola-Oyier LI
Olufunke Falade C
Olukosi A
Olumide A
Olusola FI
Onyamboko MA
Oriero EC
Oyibo WA
Pannebaker D
Pearson RD
Phiri K
van der Pluijm RW
Price RN
Quang HH
Rajkumar Devaraju V
Randrianarivelojosia M
Ranford-Cartwright L
Rayner JC
Rovira-Vallbona E
Rowlands K
Ruano-Rubio V
Sanchez JF
Saute F
Shettima S
da Silva C
Simpson VJ
Suddaby S
Takken W
Thu AM
Toure M
Unlu E
Valdivia HO
van Vugt M
Waithira N
Wellems T
Wendler J
White N
Wuendrich Ogidan R
Wellcome Open Res. 2025;10325
We describe the Pf8 data resource, the latest MalariaGEN release of curated genome variation data on over 33,000 Plasmodium falciparum samples from 99 partner studies and 122 locations over more than 50 years. This release provides open access to raw sequencing data and genotypes at over 12 million genomic positions. For the first time, it includes copy-number variation (CNV) calls in the drug-resistance associated genes gch1 and crt. As in Pf7, CNV calls are provided for mdr1 and plasmepsin2/3, along with calls for deletion in hrp2 and hrp3, genes associated with rapid diagnostic test failures. This data resource additionally features derived datasets, interactive web applications for exploring patterns of drug resistance and variation in over 5,000 genes, an updated Python package providing methods for accessing and analysing the data, and open access analysis notebooks that can be used as starting points for further analyses. In addition, informative example analyses show contrasting profiles of the decline of chloroquine resistance-associated mutations in Africa, and variation in copy number variation across 10 distinct sub-populations. To the best of our knowledge, Pf8 is the largest open data set of genome variation in any eukaryotic species, making it an invaluable foundational resource for understanding evolution, including that of pathogens.
