Cargando…

MalHaploFreq: A computer programme for estimating malaria haplotype frequencies from blood samples

BACKGROUND: Molecular markers, particularly those associated with drug resistance, are important surveillance tools that can inform policy choice. People infected with falciparum malaria often contain several genetically-distinct clones of the parasite; genotyping the patients' blood reveals wh...

Descripción completa

Detalles Bibliográficos
Autores principales: Hastings, Ian M, Smith, Thomas A
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2490701/
https://www.ncbi.nlm.nih.gov/pubmed/18627599
http://dx.doi.org/10.1186/1475-2875-7-130
_version_ 1782158139515207680
author Hastings, Ian M
Smith, Thomas A
author_facet Hastings, Ian M
Smith, Thomas A
author_sort Hastings, Ian M
collection PubMed
description BACKGROUND: Molecular markers, particularly those associated with drug resistance, are important surveillance tools that can inform policy choice. People infected with falciparum malaria often contain several genetically-distinct clones of the parasite; genotyping the patients' blood reveals whether or not the marker is present (i.e. its prevalence), but does not reveal its frequency. For example a person with four malaria clones may contain both mutant and wildtype forms of a marker but it is not possible to distinguish the relative frequencies of the mutant and wildtypes i.e. 1:3, 2:2 or 3:1. METHODS: An appropriate method for obtaining frequencies from prevalence data is by Maximum Likelihood analysis. A computer programme has been developed that allows the frequency of markers, and haplotypes defined by up to three codons, to be estimated from blood phenotype data. RESULTS: The programme has been fully documented [see Additional File 1] and provided with a user-friendly interface suitable for large scale analyses. It returns accurate frequencies and 95% confidence intervals from simulated dataset sets and has been extensively tested on field data sets. CONCLUSION: The programme is included [see Additional File 2] and/or may be freely downloaded from [1]. It can then be used to extract molecular marker and haplotype frequencies from their prevalence in human blood samples. This should enhance the use of frequency data to inform antimalarial drug policy choice.
format Text
id pubmed-2490701
institution National Center for Biotechnology Information
language English
publishDate 2008
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-24907012008-07-30 MalHaploFreq: A computer programme for estimating malaria haplotype frequencies from blood samples Hastings, Ian M Smith, Thomas A Malar J Methodology BACKGROUND: Molecular markers, particularly those associated with drug resistance, are important surveillance tools that can inform policy choice. People infected with falciparum malaria often contain several genetically-distinct clones of the parasite; genotyping the patients' blood reveals whether or not the marker is present (i.e. its prevalence), but does not reveal its frequency. For example a person with four malaria clones may contain both mutant and wildtype forms of a marker but it is not possible to distinguish the relative frequencies of the mutant and wildtypes i.e. 1:3, 2:2 or 3:1. METHODS: An appropriate method for obtaining frequencies from prevalence data is by Maximum Likelihood analysis. A computer programme has been developed that allows the frequency of markers, and haplotypes defined by up to three codons, to be estimated from blood phenotype data. RESULTS: The programme has been fully documented [see Additional File 1] and provided with a user-friendly interface suitable for large scale analyses. It returns accurate frequencies and 95% confidence intervals from simulated dataset sets and has been extensively tested on field data sets. CONCLUSION: The programme is included [see Additional File 2] and/or may be freely downloaded from [1]. It can then be used to extract molecular marker and haplotype frequencies from their prevalence in human blood samples. This should enhance the use of frequency data to inform antimalarial drug policy choice. BioMed Central 2008-07-15 /pmc/articles/PMC2490701/ /pubmed/18627599 http://dx.doi.org/10.1186/1475-2875-7-130 Text en Copyright © 2008 Hastings and Smith; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methodology
Hastings, Ian M
Smith, Thomas A
MalHaploFreq: A computer programme for estimating malaria haplotype frequencies from blood samples
title MalHaploFreq: A computer programme for estimating malaria haplotype frequencies from blood samples
title_full MalHaploFreq: A computer programme for estimating malaria haplotype frequencies from blood samples
title_fullStr MalHaploFreq: A computer programme for estimating malaria haplotype frequencies from blood samples
title_full_unstemmed MalHaploFreq: A computer programme for estimating malaria haplotype frequencies from blood samples
title_short MalHaploFreq: A computer programme for estimating malaria haplotype frequencies from blood samples
title_sort malhaplofreq: a computer programme for estimating malaria haplotype frequencies from blood samples
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2490701/
https://www.ncbi.nlm.nih.gov/pubmed/18627599
http://dx.doi.org/10.1186/1475-2875-7-130
work_keys_str_mv AT hastingsianm malhaplofreqacomputerprogrammeforestimatingmalariahaplotypefrequenciesfrombloodsamples
AT smiththomasa malhaplofreqacomputerprogrammeforestimatingmalariahaplotypefrequenciesfrombloodsamples