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Malaria Diagnostics and Surveillance in the Post-Genomic Era

Genome sequences are available for 3 human-infecting malaria parasites, Plasmodium falciparum, P. vivax and P. knowlesi, and population genomics data are available for many endemic regions. This review summarizes how genomic data have been used to develop new, species-specific molecular targets for... Full description

Journal Title: Community genetics 2013-01-01, Vol.16 (1/2), p.37-43
Main Author: Lucchi, N.W
Other Authors: Oberstaller, J , Kissinger, J.C , Udhayakumar, V
Format: Electronic Article Electronic Article
Language: English
Subjects:
Quelle: Alma/SFX Local Collection
Publisher: Basel, Switzerland: S. Karger AG
ID: ISSN: 1662-4246
Link: https://www.ncbi.nlm.nih.gov/pubmed/23548716
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recordid: cdi_pubmed_primary_23548716
title: Malaria Diagnostics and Surveillance in the Post-Genomic Era
format: Article
creator:
  • Lucchi, N.W
  • Oberstaller, J
  • Kissinger, J.C
  • Udhayakumar, V
subjects:
  • Article
  • Bioinformatics
  • Computational Biology - methods
  • Diagnosis
  • DNA Barcoding, Taxonomic
  • Genome
  • Genome, Human
  • Genome, Protozoan
  • Humans
  • Malaria
  • Malaria - diagnosis
  • Malaria - genetics
  • Malaria - parasitology
  • Metagenomics
  • Molecular tools
  • Paper
  • parasitic diseases
  • Plasmodium falciparum - genetics
  • Plasmodium knowlesi - genetics
  • Plasmodium vivax - genetics
  • Polymerase Chain Reaction
  • Proteomics - methods
  • Reproducibility of Results
  • Sensitivity and Specificity
ispartof: Community genetics, 2013-01-01, Vol.16 (1/2), p.37-43
description: Genome sequences are available for 3 human-infecting malaria parasites, Plasmodium falciparum, P. vivax and P. knowlesi, and population genomics data are available for many endemic regions. This review summarizes how genomic data have been used to develop new, species-specific molecular targets for better malaria diagnosis. The combination of bioinformatics and genomics has been used to identify new sequence targets suitable for diagnostic applications and assess their viability within the context of global Plasmodium sequence variation. The selection criteria maximized the sensitivity and specificity of the novel targets. At least one target from each species was found to be suitable for molecular diagnosis of malaria with some advantages over existing molecular methods. The promise of using genome sequence data to develop sensitive, genus- or species-specific diagnostic methods for other pathogens of public health interest is strong. This undertaking together with what we envision as the future of malaria diagnosis in the ‘omic’ era is discussed.
language: eng
source: Alma/SFX Local Collection
identifier: ISSN: 1662-4246
fulltext: fulltext
issn:
  • 1662-4246
  • 1662-8063
url: Link


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descriptionGenome sequences are available for 3 human-infecting malaria parasites, Plasmodium falciparum, P. vivax and P. knowlesi, and population genomics data are available for many endemic regions. This review summarizes how genomic data have been used to develop new, species-specific molecular targets for better malaria diagnosis. The combination of bioinformatics and genomics has been used to identify new sequence targets suitable for diagnostic applications and assess their viability within the context of global Plasmodium sequence variation. The selection criteria maximized the sensitivity and specificity of the novel targets. At least one target from each species was found to be suitable for molecular diagnosis of malaria with some advantages over existing molecular methods. The promise of using genome sequence data to develop sensitive, genus- or species-specific diagnostic methods for other pathogens of public health interest is strong. This undertaking together with what we envision as the future of malaria diagnosis in the ‘omic’ era is discussed.
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subjectArticle ; Bioinformatics ; Computational Biology - methods ; Diagnosis ; DNA Barcoding, Taxonomic ; Genome ; Genome, Human ; Genome, Protozoan ; Humans ; Malaria ; Malaria - diagnosis ; Malaria - genetics ; Malaria - parasitology ; Metagenomics ; Molecular tools ; Paper ; parasitic diseases ; Plasmodium falciparum - genetics ; Plasmodium knowlesi - genetics ; Plasmodium vivax - genetics ; Polymerase Chain Reaction ; Proteomics - methods ; Reproducibility of Results ; Sensitivity and Specificity
ispartofCommunity genetics, 2013-01-01, Vol.16 (1/2), p.37-43
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descriptionGenome sequences are available for 3 human-infecting malaria parasites, Plasmodium falciparum, P. vivax and P. knowlesi, and population genomics data are available for many endemic regions. This review summarizes how genomic data have been used to develop new, species-specific molecular targets for better malaria diagnosis. The combination of bioinformatics and genomics has been used to identify new sequence targets suitable for diagnostic applications and assess their viability within the context of global Plasmodium sequence variation. The selection criteria maximized the sensitivity and specificity of the novel targets. At least one target from each species was found to be suitable for molecular diagnosis of malaria with some advantages over existing molecular methods. The promise of using genome sequence data to develop sensitive, genus- or species-specific diagnostic methods for other pathogens of public health interest is strong. This undertaking together with what we envision as the future of malaria diagnosis in the ‘omic’ era is discussed.
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notesVenkatachalam Udhayakumar, Centers for Disease Control and Prevention, 1600 Clifton Road, Mail Stop D-67, Atlanta, GA 30333 (USA), vxu0@cdc.gov
abstractGenome sequences are available for 3 human-infecting malaria parasites, Plasmodium falciparum, P. vivax and P. knowlesi, and population genomics data are available for many endemic regions. This review summarizes how genomic data have been used to develop new, species-specific molecular targets for better malaria diagnosis. The combination of bioinformatics and genomics has been used to identify new sequence targets suitable for diagnostic applications and assess their viability within the context of global Plasmodium sequence variation. The selection criteria maximized the sensitivity and specificity of the novel targets. At least one target from each species was found to be suitable for molecular diagnosis of malaria with some advantages over existing molecular methods. The promise of using genome sequence data to develop sensitive, genus- or species-specific diagnostic methods for other pathogens of public health interest is strong. This undertaking together with what we envision as the future of malaria diagnosis in the ‘omic’ era is discussed.
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