An expectation maximization approach to estimate malaria haplotype frequencies in multiply infected children.

An expectation maximization approach to estimate malaria haplotype frequencies in multiply infected children. Research Abstract Details 

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An expectation maximization approach to estimate malaria haplotype frequencies in multiply infected children. Abstract Text:

Xiaohong Li,Andrea S Foulkes,Recai M Yucel,Stephen M Rich,Xiaohong Li,Andrea S Foulkes,Recai M Yucel,Stephen M Rich,Xiaohong Li,Andrea S Foulkes,Recai M Yucel,Stephen M Rich,Xiaohong Li,Andrea S Foulkes,Recai M Yucel,Stephen M Rich,

Characterizing genetic variability in the human pathogenic Plasmodium species, the group of parasites that cause Malaria, may have broad global health implications. Specifically, discerning the combinations of mutations that lead to viable parasites and the population level frequencies of these clonal sequences will allow for targeted vaccine development and individualized treatment choices. This presents an analytical challenge, however, since haplotypic phase (i.e. the alignment of bases on a single DNA strand) is generally unobservable in multiply infected individuals. This manuscript describes an expectation maximization (EM) approach to maximum likelihood estimation of haplotype frequencies in this missing data setting. The approach is applied to a cohort of N=341 malaria infected children in Uganda, Cameroon and Sudan to characterize regional differences. A simulation study is also presented to characterize method performance and assess sensitivity to distributional assumptions.

An expectation maximization approach to estimate malaria haplotype frequencies in multiply infected children. Publishing Authors By Initials

X Li,AS Foulkes,RM Yucel,SM Rich,X Li,AS Foulkes,RM Yucel,SM Rich,X Li,AS Foulkes,RM Yucel,SM Rich,X Li,AS Foulkes,RM Yucel,SM Rich,

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An expectation maximization approach to estimate malaria haplotype frequencies in multiply infected children. Journal Published:

PUBLICATION TYPE: Research Support, Non-U.S. Gov

Journal: Statistical applications in genetics and molecular

VOLUME: 6

Page Numbers: Article33

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ISSN: 1544-6115

DAY: 19

MONTH: 11

YEAR: 2007

An expectation maximization approach to estimate malaria haplotype frequencies in multiply infected children. Information

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LANGUAGE: eng

NlmUniqueID: 101176023

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Grant and Affiliation Information for An expectation maximization approach to estimate malaria haplotype frequencies in multiply infected children.

AFFILIATION: University of Massachusetts, Amherst, MA, USA. xiaohong@schoolph.umass.edu

Country: United States

AGENCY: United States NIGMS

GRANT: R01GM07077

ACRONYM: GM

MEDLINETA: Stat Appl Genet Mol Biol

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