ArticleParasites & vectors2015
Detecting genotyping errors at Schistosoma japonicum microsatellites with pedigree information.
Article in Parasites & vectors, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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Who cites it
4 citing papers in PubMed.
- Population genetic diversity of Schistosoma japonicum arises from the host switching in the life cycle.PLoS neglected tropical diseases · 2025Article
- Construction and characterization of microsatellite markers for the Schistosoma japonicum isolate from a hilly area of China based on whole genome sequencing.Parasitology research · 2023Article
- Membrane Technology for Rapid Point-of-Care Diagnostics for Parasitic Neglected Tropical Diseases.Clinical microbiology reviews · 2021Article
- The genetic variation of different developmental stages of Schistosoma japonicum: do the distribution in snails and pairing preference benefit the transmission?Parasites & vectors · 2020Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSchistosomiasis japonica remains a major public health problem in China. Integrating molecular analyses, such as population genetic analyses, of the parasite into the on-going surveillance programs is helpful in exploring the factors causing the persistence and/or spread of Schistosoma japonicum. However, genotyping errors can seriously affect the results of such studies, unless accounted for in the analyses.
methodsWe assessed the genotyping errors (missing alleles or false alleles) of seven S. japonicum microsatellites, using a pedigree data approach for schistosome miracidia, which were stored on Whatman FTA cards.
resultsAmong 107 schistosome miracidia successfully genotyped, resulting in a total of 715 loci calls, a total of 31 genotyping errors were observed with 25.2% of the miracidia having at least one error. The error rate per locus differed among loci, which ranged from 0 to 9.8%, with the mean error rate 4.3% over loci. With the parentage analysis software Cervus, the assignment power with these seven markers was estimated to be 89.5% for one parent and 99.9% for a parent pair. One locus was inferred to have a high number of null alleles and a second with a high mistyping rate.
conclusionTo the authors' knowledge, this is the first time that S. japonicum pedigrees have been used in an assessment of genotyping errors of microsatellite markers. The observed locus-specific error rate will benefit downstream epidemiological or ecological analyses of S. japonicum with the markers.
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