@article {765,
	title = {Estimating and testing haplotype-trait associations in non-diploid populations.},
	journal = {J R Stat Soc Ser C Appl Stat},
	volume = {58},
	year = {2009},
	month = {2009 Dec},
	pages = {663-678},
	abstract = {Malaria is an infectious disease that is caused by a group of parasites of the genus Plasmodium. Characterizing the association between polymorphisms in the parasite genome and measured traits in an infected human host may provide insight into disease aetiology and ultimately inform new strategies for improved treatment and prevention. This, however, presents an analytic challenge since individuals are often multiply infected with a variable and unknown number of genetically diverse parasitic strains. In addition, data on the alignment of nucleotides on a single chromosome, which is commonly referred to as haplotypic phase, is not generally observed. An expectation-maximization algorithm for estimating and testing associations between haplotypes and quantitative traits has been described for diploid (human) populations. We extend this method to account for both the uncertainty in haplotypic phase and the variable and unknown number of infections in the malaria setting. Further extensions are described for the human immunodeficiency virus quasi-species setting. A simulation study is presented to characterize performance of the method. Application of this approach to data arising from a cross-sectional study of n=126 multiply infected children in Uganda reveals some interesting associations requiring further investigation.},
	issn = {0035-9254},
	doi = {10.1111/j.1467-9876.2009.00673.x},
	author = {Li, X and Thomas, B N and Rich, S M and Ecker, D and Tumwine, J K and Foulkes, A S}
}
@article {787,
	title = {Extensive polymorphism in Cryptosporidium parvum identified by multilocus microsatellite analysis.},
	journal = {Appl Environ Microbiol},
	volume = {66},
	year = {2000},
	month = {2000 Aug},
	pages = {3344-9},
	abstract = {Restriction fragment length polymorphism and DNA sequence analysis discern two main types of Cryptosporidium parvum. We present a survey of length polymorphism at several microsatellite loci for type 1 and type 2 isolates. A total of 14 microsatellite loci were identified from C. parvum DNA sequences deposited in public databases. All repeats were mono-, di-, and trinucleotide repeats of A, AT, and AAT, reflecting the high AT content of the C. parvum genome. Several of these loci showed significant length polymorphism, with as many as seven alleles identified for a single locus. Differences between alleles ranged from 1 to 27 bp. Karyotype analysis using probes flanking three microsatellites localized each marker to an individual chromosomal band, suggesting that these markers are single copy. In a sample of 19 isolates for which at least three microsatellites were typed, a majority of isolates displayed a unique multilocus fingerprint. Microsatellite analysis of isolates passaged between different host species identified genotypic changes consistent with changes in parasite populations.},
	keywords = {Animals, Base Sequence, Cattle, Cryptosporidiosis, Cryptosporidium parvum, DNA, Protozoan, Humans, Karyotyping, Mice, Mice, Knockout, Microsatellite Repeats, Molecular Sequence Data, Polymerase Chain Reaction, Polymorphism, Genetic, Sequence Analysis, DNA},
	issn = {0099-2240},
	author = {Feng, X and Rich, S M and Akiyoshi, D and Tumwine, J K and Kekitiinwa, A and Nabukeera, N and Tzipori, S and Widmer, G}
}
