ArticleEuropean journal of human genetics : EJHG2010
A new set of markers for human identification based on 32 polymorphic Alu insertions.
Article in European journal of human genetics : EJHG, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Review
- Article
- AnNAR genomics and bioinformatics · 2022Article
- Evaluation of the InnoTyper21® system for the applications into trace and degraded DNA in the Korean population.International journal of legal medicine · 2020Article
- Population data for 20 insertion-null allele markers in the Li ethnic minority from Hainan Province.International journal of legal medicine · 2020Article
- Transcriptome variation in human populations and its potential application in forensics.Journal of applied genetics · 2019Review
- Evaluation of InnoTyper® 21 in a sample of Rio de Janeiro population as an alternative forensic panel.International journal of legal medicine · 2018Article
- Development of Novel High-Resolution Melting-Based Assays for Genotyping Two Alu Insertion Polymorphisms (FXIIIB and PV92).Molecular biotechnology · 2016Article
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Authors and funding
6 authors.
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Abstract
A number of genetic systems for human genetic identification based on short tandem repeats or single nucleotide polymorphisms are widely used for crime detection, kinship studies and in analysis of victims of mass disasters. Here, we have developed a new set of 32 molecular genetic markers for human genetic identification based on polymorphic retroelement insertions. Allele frequencies were determined in a group of 90 unrelated individuals from four genetically distant populations of the Russian Federation. The mean match probability and probability of paternal exclusion, calculated based on population data, were 5.53 x 10(-14) and 99.784%, respectively. The developed system is cheap and easy to use as compared to all previously published methods. The application of fluorescence-based methods for allele discrimination allows to use the human genetic identification set in automatic and high-throughput formats.
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