Estimation of malaria haplotype and genotype frequencies: A statistical approach to overcome the challenge associated with multiclonal infections

Malaria Journal

Volumn 13, Issue 1, 2014, Pages

  Taylor, Aimee R ^a,b,c   Flegg, Jennifer A ^a,b   Nsobya, Samuel L ^d   Yeka, Adoke ^e   Kamya, Moses R ^d   Rosenthal, Philip J ^f   Dorsey, Grant ^f   Sibley, Carol H ^a,g   Guerin, Philippe J ^a,b   Holmes, Chris C ^c  

^a WorldWide Antimalarial Resistance Network   (United Kingdom)

^b UNIVERSITY OF OXFORD   (United Kingdom)

^c UNIVERSITY OF OXFORD   (United Kingdom)

^d MAKERERE UNIVERSITY   (Uganda)

^e Uganda Malaria Surveillance Project   (Uganda)

^f UNIVERSITY OF CALIFORNIA   (United States)

^g UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Anti malarial resistance; Frequency versus prevalence; Statistical model

Indexed keywords

PYRIMETHAMINE PLUS SULFADOXINE;

ALGORITHM; ANTIMALARIAL DRUG RESISTANCE; ARTICLE; BAYES THEOREM; BLOOD SAMPLING; CLONE; CONTROLLED STUDY; GENE FREQUENCY; GENE MUTATION; GENE STRUCTURE; GENETIC ASSOCIATION; GENETIC MOTIF; HAPLOTYPE; HUMAN; MALARIA; NONHUMAN; PLASMODIUM FALCIPARUM; PREVALENCE; STATISTICAL MODEL;

DRUG RESISTANCE; GENE FREQUENCY; GENOTYPE; HAPLOTYPES; HUMANS; MALARIA, FALCIPARUM; MODELS, STATISTICAL; PLASMODIUM FALCIPARUM; PREVALENCE; UGANDA;

EID: 84899128098     PISSN: None     EISSN: 14752875     Source Type: Journal    
DOI: 10.1186/1475-2875-13-102     Document Type: Article

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