ArticleInternational journal of legal medicine2010
Population stratification in Argentina strongly influences likelihood ratio estimates in paternity testing as revealed by a simulation-based approach.
Article in International journal of legal medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Population substructure affects kinship testing in multi-ethnic areas of China.International journal of legal medicine · 2026Article
- Evaluating DNA Mixtures with Contributors from Different Populations Using Probabilistic Genotyping.Genes · 2022Article
- Phylogeographic and genome-wide investigations of Vietnam ethnic groups reveal signatures of complex historical demographic movements.Scientific reports · 2017Article
- Article
- Evaluating methods to correct for population stratification when estimating paternity indexes.PloS one · 2012Article
- The impact of modern migrations on present-day multi-ethnic Argentina as recorded on the mitochondrial DNA genome.BMC genetics · 2011Article
Corrections and comments
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Authors and funding
5 authors.
Funding
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Abstract
A simulation-based analysis was carried out to investigate the potential effects of population substructure in paternity testing in Argentina. The study was performed by evaluating paternity indexes (PI) calculated from different simulated pedigree scenarios and using 15 autosomal short tandem repeats (STRs) from eight Argentinean databases. The results show important statistically significant differences between PI values depending on the dataset employed. These differences are more dramatic when considering Native American versus urban populations. This study also indicates that the use of Fst to correct for the effect of population stratification on PI might be inappropriate because it cannot account for the particularities of single paternity cases.
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