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C. F. L. Amar
Researcher at Health Protection Agency
Publications - 15
Citations - 1230
C. F. L. Amar is an academic researcher from Health Protection Agency. The author has contributed to research in topics: Cryptosporidium & Cryptosporidium parvum. The author has an hindex of 12, co-authored 13 publications receiving 1188 citations.
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Molecular epidemiological analysis of Cryptosporidium spp. in the United Kingdom: results of genotyping Cryptosporidium spp. in 1,705 fecal samples from humans and 105 fecal samples from livestock animals.
TL;DR: Genotypes 1 and 2 were significantly more common in patients infected during the late-summer–autumn peak and in those with a history of foreign travel, and among the sporadic cases, there were distinct geographical and temporal variations in the distribution of the genotypes.
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Detection by PCR of eight groups of enteric pathogens in 4,627 faecal samples: re-examination of the English case-control Infectious Intestinal Disease Study (1993–1996)
TL;DR: Polymerase chain reaction (PCR) assays were applied to DNA and cDNA generated from faecal samples from cases and controls archived during the original study for the detection of norov virus, rotavirus, sapovirus, Campylobacter spp.
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Sensitive PCR-Restriction Fragment Length Polymorphism Assay for Detection and Genotyping of Giardia duodenalis in Human Feces
TL;DR: Analysis of DNA extracted from material recovered from stained microscope slides identified identical G. duodenalis genotypes in 35 (65%) of the 54 samples for which a genotype was established with DNA from whole feces.
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Detection of Cryptosporidium and Giardia in molluscan shellfish by multiplexed nested-PCR
Hipólito Gómez-Couso,F. Freire-Santos,C. F. L. Amar,Kathie Grant,K. Williamson,M E Ares-Mazás,Jim McLauchlin +6 more
TL;DR: The extraction and ABC-PCR procedures were shown to be suitable for application to shellfish by amplification of specific target sequences using DNA from Cryptosporidium parvum genotype 2 and G. duodenalis assemblages A and B which were spiked into DNA extracted from mussels.
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Detection and identification by real time PCR/RFLP analyses of Cryptosporidium species from human faeces
TL;DR: Aims: to detect a wide range of Cryptosporidium species from human faeces by analysis of the Cryptospora oocyst wall protein gene by PCR.