TY - UNPB
T1 - Integrative genomics of Plasmodium knowlesi reveals parasite-intrinsic regulators of severe human malaria
AU - Westaway, Jacob A F
AU - Benavente, Ernest Diez
AU - Kucharski, Michal
AU - Nayak, Sourav
AU - Huy, Duong T Q
AU - Auburn, Sarah
AU - William, Timothy
AU - Rajahram, Giri S
AU - Piera, Kim A
AU - Trimarsanto, Hidayat
AU - Hoon, Kian Soon
AU - Bourke, Caitlin
AU - Jantim, Anisah
AU - Manah, Abdul Marsudi
AU - Gotulis, William
AU - Moon, Robert W
AU - Amato, Roberto
AU - Barber, Bridget E
AU - Drakeley, Chris
AU - Anstey, Nicholas M
AU - Field, Matt A
AU - Bozdech, Zbynek
AU - Grigg, Matthew J
PY - 2026/3/23
Y1 - 2026/3/23
N2 - To dissect parasite determinants of clinical disease severity in Plasmodium knowlesi, we performed the first integrative genome-wide association (GWAS), transcriptomic, and expression quantitative trait locus (eQTL) analysis from clinical malaria isolates. We identify distinct parasite programs associated with WHO-defined severe disease, characterized by transcriptional activation of stress-response and host-interaction pathways. In contrast, invasion-linked programs were more strongly associated with parasite burden, while immune-evasion pathways showed overlapping but distinct associations with both burden and severity. GWAS and eQTL analyses revealed genetic regulation of transcriptional states, including immune-evasion variant antigen families (SICAvar and kir) and chromatin-associated regulators. Mature gametocyte transcripts were detectable across infections, including those with low parasitaemia, indicating that transmission-stage expression occurs independently of both clinical severity and parasite density. Together, these findings show that severe P. knowlesi malaria is associated with genetically regulated parasite transcriptional programs that are not fully explained by parasite burden.
AB - To dissect parasite determinants of clinical disease severity in Plasmodium knowlesi, we performed the first integrative genome-wide association (GWAS), transcriptomic, and expression quantitative trait locus (eQTL) analysis from clinical malaria isolates. We identify distinct parasite programs associated with WHO-defined severe disease, characterized by transcriptional activation of stress-response and host-interaction pathways. In contrast, invasion-linked programs were more strongly associated with parasite burden, while immune-evasion pathways showed overlapping but distinct associations with both burden and severity. GWAS and eQTL analyses revealed genetic regulation of transcriptional states, including immune-evasion variant antigen families (SICAvar and kir) and chromatin-associated regulators. Mature gametocyte transcripts were detectable across infections, including those with low parasitaemia, indicating that transmission-stage expression occurs independently of both clinical severity and parasite density. Together, these findings show that severe P. knowlesi malaria is associated with genetically regulated parasite transcriptional programs that are not fully explained by parasite burden.
U2 - 10.64898/2026.03.22.713451
DO - 10.64898/2026.03.22.713451
M3 - Preprint
C2 - 41929042
BT - Integrative genomics of Plasmodium knowlesi reveals parasite-intrinsic regulators of severe human malaria
PB - BioRxiv
ER -