TY - JOUR T1 - Whole genome sequencing of <em>Plasmodium falciparum</em> from dried blood spots using selective whole genome amplification JF - bioRxiv DO - 10.1101/067546 SP - 067546 AU - Samuel O. Oyola AU - Cristina V. Ariani AU - William L. Hamilton AU - Mihir Kekre AU - Lucas N. Amenga-Etego AU - Anita Ghansah AU - Gavin G. Rutledge AU - Seth Redmond AU - Magnus Manske AU - Dushyanth Jyothi AU - Chris G. Jacob AU - Thomas D. Otto AU - Kirk Rockett AU - Chris I. Newbold AU - Matthew Berriman AU - Dominic P. Kwiatkowski Y1 - 2016/01/01 UR - http://biorxiv.org/content/early/2016/08/11/067546.abstract N2 - Translating genomic technologies into healthcare applications for the malaria parasite Plasmodium falciparum has been limited by the technical and logistical difficulties of obtaining high quality clinical samples from the field. Sampling by dried blood spot (DBS) finger-pricks can be performed safely and efficiently with minimal resource and storage requirements compared with venous blood (VB). Here, we evaluate the use of selective whole genome amplification (sWGA) to sequence the P. falciparum genome from clinical DBS samples, and compare the results to current methods using leucodepleted VB. Parasite DNA with high (&gt; 95%) human DNA contamination was selectively amplified by Phi29 polymerase using short oligonucleotide probes of 8-12 mers as primers. These primers were selected on the basis of their differential frequency of binding the desired (P. falciparum DNA) and contaminating (human) genomes. Using sWGA method, we sequenced clinical samples from 156 malaria patients, including 120 paired samples for head-to-head comparison of DBS and leucodepleted VB. Greater than 18-fold enrichment of P. falciparum DNA was achieved from DBS extracts. The parasitaemia threshold to achieve &gt;5x coverage for 50% of the genome was 0.03% (40 parasites per 200 white blood cells). Over 99% SNP concordance between VB and DBS samples was achieved after excluding missing calls. The sWGA methods described here provide a reliable and scalable way of generating P. falciparum genome sequence data from DBS samples. Our data indicate that it will be possible to get good quality sequence data on most if not all drug resistance loci from the majority of symptomatic malaria patients. This technique overcomes a major limiting factor in P. falciparum genome sequencing from field samples, and paves the way for large-scale epidemiological applications. ER -