Inferring genetic sub-structure in the population of Argentina using fifteen microsatellite loci

Marino, Miguel; Sala, Andrea; Bobillo, Cecilia; Corach, Daniel

doi:10.1016/j.fsigss.2007.10.135

Cited by 8 publications

(8 citation statements)

References 9 publications

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“…In the present study, we have employed exactly the same autosomal marker set used by Marino et al [13] but our results and conclusions differ substantially. The main reason is that the statistical approaches employed in these studies are conceptually different.…”

Section: Reviewing Previous Finding Concerning Population Substructurmentioning

confidence: 89%

“…More recently, Marino et al [13] measured the impact of population substructure in Argentina, analyzing 15 autosomal STRs in ten population samples from the country, and concluded that no substructure could be detected supporting that a single database of the whole country could be suitable for the correct interpretation of paternity testing and forensic casework results. Nevertheless, they found a clear statistical differentiation between the Salta population sample and the rest of the population samples analyzed, which contradict their final conclusion about the possibility of using a unique database for the whole country.…”

Section: Reviewing Previous Finding Concerning Population Substructurmentioning

confidence: 99%

“…The main reason is that the statistical approaches employed in these studies are conceptually different. While Marino et al [13] employed Fst genetic distances to detect and quantify genetic stratification, our approach aimed to measure the effect of population substructure directly on PI values. We here demonstrated that Fst corrections might not account for the singularities of the full universe of genetic profiles in a population.…”

Section: Reviewing Previous Finding Concerning Population Substructurmentioning

confidence: 99%

“…This view, however, is controversial since other authors claim that population differences within the country are irrelevant in this context [13]. Recently, we used a simulation-based approach to show that these differences actually have implications in the computation of likelihood ratios in forensic casework [12].…”

Section: Introductionmentioning

confidence: 99%

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Population stratification in Argentina strongly influences likelihood ratio estimates in paternity testing as revealed by a simulation-based approach

et al. 2009

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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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Section: Reviewing Previous Finding Concerning Population Substructurmentioning

confidence: 89%

Section: Reviewing Previous Finding Concerning Population Substructurmentioning

confidence: 99%

Section: Reviewing Previous Finding Concerning Population Substructurmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Population stratification in Argentina strongly influences likelihood ratio estimates in paternity testing as revealed by a simulation-based approach

et al. 2009

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“…In Argentina, some level of population substructure across the country has been observed through the analyses of commonly used forensic STR (Short Tandem Repeat) markers [25], [26]. Nevertheless, interpretation of results remains controversial.…”

Section: Introductionmentioning

confidence: 99%

Evaluating Methods to Correct for Population Stratification when Estimating Paternity Indexes

et al. 2012

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The statistical interpretation of the forensic genetic evidence requires the use of allelic frequency estimates in the reference population for the studied markers. Differences in the genetic make up of the populations can be reflected in statistically different allelic frequency distributions. One can easily figure out that collecting such information for any given population is not always possible. Therefore, alternative approaches are needed in these cases in order to compensate for the lack of information. A number of statistics have been proposed to control for population stratification in paternity testing and forensic casework, Fst correction being the only one recommended by the forensic community. In this study we aimed to evaluate the performance of Fst to correct for population stratification in forensics. By way of simulations, we first tested the dependence of Fst on the relative sizes of the sub-populations, and second, we measured the effect of the Fst corrections on the Paternity Index (PI) values compared to the ones obtained when using the local reference database. The results provide clear-cut evidence that (i) Fst values are strongly dependent on the sampling scheme, and therefore, for most situations it would be almost impossible to estimate real values of Fst; and (ii) Fst corrections might unfairly correct PI values for stratification, suggesting the use of local databases whenever possible to estimate the frequencies of genetic profiles and PI values.

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Spatial assessment of Argentinean genetic admixture with geographical information systems

Díaz-Lacava

Walier

Penacino³

et al. 2011

Forensic Science International: Genetics

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Inferring genetic sub-structure in the population of Argentina using fifteen microsatellite loci

Cited by 8 publications

References 9 publications

Population stratification in Argentina strongly influences likelihood ratio estimates in paternity testing as revealed by a simulation-based approach

Population stratification in Argentina strongly influences likelihood ratio estimates in paternity testing as revealed by a simulation-based approach

Evaluating Methods to Correct for Population Stratification when Estimating Paternity Indexes

Spatial assessment of Argentinean genetic admixture with geographical information systems

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