Imperial College London
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DrPoppyLamberton

Faculty of Medicine, School of Public Health

Honorary Senior Lecturer
 
 
 
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Praed StreetSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Gao:2015:10.1186/s13071-015-1074-0,
author = {Gao, Y-M and Lu, D-B and Ding, H and Lamberton, PHL},
doi = {10.1186/s13071-015-1074-0},
journal = {Parasites & Vectors},
title = {Detecting genotyping errors at Schistosoma japonicum microsatellites with pedigree information},
url = {http://dx.doi.org/10.1186/s13071-015-1074-0},
volume = {8},
year = {2015}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Background: Schistosomiasis japonica remains a major public health problem in China. Integrating molecularanalyses, such as population genetic analyses, of the parasite into the on-going surveillance programs is helpful inexploring the factors causing the persistence and/or spread of Schistosoma japonicum. However, genotyping errorscan 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 S. japonicum 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 31genotyping errors were observed with 25.2 % of the miracidia having at least one error. The error rate per locusdiffered among loci, which ranged from 0 to 9.8 %, with the mean error rate 4.3 % over loci. With the parentageanalysis software Cervus, the assignment power with these seven markers was estimated to be 89.5 % for oneparent and 99.9 % for a parent pair. One locus was inferred to have a high number of null alleles and a secondwith a high mistyping rate.Conclusion: To the authors’ knowledge, this is the first time that S. japonicum pedigrees have been used in anassessment of genotyping errors of microsatellite markers. The observed locus-specific error rate will benefitdownstream epidemiological or ecological analyses of S. japonicum with the markers.
AU  - Gao,Y-M
AU  - Lu,D-B
AU  - Ding,H
AU  - Lamberton,PHL
DO  - 10.1186/s13071-015-1074-0
PY  - 2015///
SN  - 1756-3305
TI  - Detecting genotyping errors at Schistosoma japonicum microsatellites with pedigree information
T2  - Parasites & Vectors
UR  - http://dx.doi.org/10.1186/s13071-015-1074-0
UR  - http://hdl.handle.net/10044/1/26505
VL  - 8
ER  -
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