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An open dataset of genome variation in 7,000 worldwide samples. | LitMetric

An open dataset of genome variation in 7,000 worldwide samples.

Wellcome Open Res

Department of Medical Research, Yangon, Myanmar.

Published: July 2021

AI Article Synopsis

  • MalariaGEN is a global data-sharing network focused on studying the genomic epidemiology of malaria, releasing new genome variation data from 7,000 samples across 28 malaria-endemic countries.
  • The project generated high-quality genotype data on 3 million single nucleotide polymorphisms (SNPs) and identified drug resistance factors, revealing that nearly all samples showed some genetic resistance to antimalarial drugs.
  • The ongoing expansion of this open data resource aims to enhance research on malaria's evolution and improve tools necessary for malaria surveillance and elimination efforts.

Article Abstract

MalariaGEN is a data-sharing network that enables groups around the world to work together on the genomic epidemiology of malaria. Here we describe a new release of curated genome variation data on 7,000 samples from MalariaGEN partner studies in 28 malaria-endemic countries. High-quality genotype calls on 3 million single nucleotide polymorphisms (SNPs) and short indels were produced using a standardised analysis pipeline. Copy number variants associated with drug resistance and structural variants that cause failure of rapid diagnostic tests were also analysed.  Almost all samples showed genetic evidence of resistance to at least one antimalarial drug, and some samples from Southeast Asia carried markers of resistance to six commonly-used drugs. Genes expressed during the mosquito stage of the parasite life-cycle are prominent among loci that show strong geographic differentiation. By continuing to enlarge this open data resource we aim to facilitate research into the evolutionary processes affecting malaria control and to accelerate development of the surveillance toolkit required for malaria elimination.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8008441PMC
http://dx.doi.org/10.12688/wellcomeopenres.16168.2DOI Listing

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