Detecting genotyping errors at XXXX microsatellites with pedigree information.

@entity2042 @entity9569 @entity2043
BACKGROUND: @entity9569 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 @entity2042 . However, genotyping errors can seriously affect the results of such studies, unless accounted for in the analyses. METHODS: We assessed the genotyping errors (missing alleles or false alleles) of seven @entity2043 microsatellites, using a pedigree data approach for schistosome miracidia, which were stored on Whatman FTA cards. RESULTS: Among 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. CONCLUSION: To the authors' knowledge, this is the first time that @entity2043 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 @entity2043 with the markers.
