Allele frequencies of 15 STR loci in Moldavia region (NE Romania)

Stanciu, Florin; Popescu, Oana Raluca; Stoian, Ionel Marius

doi:10.1016/j.fsigen.2009.02.008

Cited by 8 publications

(3 citation statements)

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“…The analysis of the new 5 ESS STR loci extended the total number of different STR markers analyzed for Romanian population and to a certain degree confirmed the results of population comparisons done using other STR markers in four other Romanian smaller geographical and historical regions: Moldova (22), Transylvania (23), Wallachia (24), and Dobruja (25). …”

Section: Discussionsupporting

confidence: 72%

Genetic parameters and allele frequencies of five new European Standard Set STR loci (D10S1248, D22S1045, D2S441, D1S1656, D12S391) in the population of Romania

Stanciu¹,

Vladu²,

Cuţăr³

et al. 2013

Croat Med J

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AimTo establish allele frequencies and genetic parameters for 5 new European Standard Set short tandem repeat (STR) loci in the population of Romania and to compare them with those in other populations.MethodsDNA was isolated using QIAamp 96 DNA Swab BioRobot Kit and Chelex 100 methods. Polymerase chain reaction amplification was done using Investigator ESSplexPlus Kit (D1S1656, D2S441, D2S1338, D3S1358, D8S1179, D10S1248, D12S391, D16S539, D18S51, D19S433, D21S11, D22S1045, FGA, TH01, and vWA). For DNA typing, Applied Biosystems 3500/3500xL Genetic Analyzer was used. Statistical analysis was done using Powerstats, GDA, and Arlequin software.ResultsPower of discrimination and polymorphism information content was highest for two new ESS loci, D1S1656 and D12S391. Comparison of allele frequencies for 5 new ESS loci in Romanian population with previously published population data showed significant differences for all compared populations, with the exception of Hungary. Geographically more distant populations, such as Spain, Sweden, United Kingdom, Germany, and Portugal differed more than closer populations.ConclusionNew ESS STR loci are very useful for the analysis of forensic samples (persons or traces) due to their characteristics (shortness and high polymorphism). In comparisons with other common STR markers, they have a higher power of discrimination and also higher polymorphism information content, and could be used in any national DNA database.

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Section: Discussionsupporting

confidence: 72%

Genetic parameters and allele frequencies of five new European Standard Set STR loci (D10S1248, D22S1045, D2S441, D1S1656, D12S391) in the population of Romania

Stanciu¹,

Vladu²,

Cuţăr³

et al. 2013

Croat Med J

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“…As a result of heterogeneity in classification schemes and specificity of sampling geography, groups described in the source papers have vastly different scales of resolution. Troublingly, sample sources were also collected from diverse sources including donors who gave informed consent ex: 79–81 , subjects of paternity tests ex: 82–84 , people arrested or convicted ex: 85–87 , collection by law enforcement ex: 66,88,89 , immigration casework ex: 90,91 , and blood banks ex: 92–94 . The publication of these genetic samples from indirect sources, sometimes without clear informed consent, deserves its own investigation and analysis 95 .…”

Section: Methodsmentioning

confidence: 99%

Decreased accuracy of forensic DNA mixture analysis for groups with lower genetic diversity

Flores,

Ly,

et al. 2023

Preprint

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SUMMARYForensic investigation of DNA samples from multiple contributors has become commonplace. These complex analyses use statistical frameworks accounting for multiple levels of uncertainty in allelic contributions from different individuals, particularly for samples containing few molecules of DNA. These methods have been thoroughly tested along some axes of variation, but less attention has been paid to accuracy across human genetic variation. Here, we quantify the accuracy of DNA mixture analysis over 244 human groups. We find higher false inclusion rates for mixtures with more contributors, and for groups with lower genetic diversity. Even for two-contributor mixtures where one contributor is known and the reference group is correctly specified, false inclusion rates are 1e-5 or higher for 56 out of 244 groups. This means that, depending on multiple testing, some false inclusions may be expected. These false positives could be lessened with more selective and conservative use of DNA mixture analysis.HIGHLIGHTSGroups with lower genetic diversity have higher mixture analysis false positive rates.Analyses with mis-specified references have somewhat higher false positive rates.Mixture analysis accuracy decreases with more mixture contributors.GRAPHICAL ABSTRACT

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“…According to the 2002 census in Romania (4), 19.6% of the residents of the Transylvania region belong to the Hungarian ethnic group, with most of them living in the Szekler (Székely) counties of Covasna and Harghita. Earlier genetic studies have suggested that ancient Hungarians and Szekler Hungarians separated from each other more than 1000 years ago.…”

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confidence: 99%

Genetic Variation at 15 Polymorphic, Autosomal, Short Tandem Repeat Loci of Two Hungarian Populations in Transylvania, Romania

Demeter

Kelemen²,

Székely³

et al. 2010

Croat Med J

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Allele frequencies of 15 STR loci in Moldavia region (NE Romania)

Cited by 8 publications

References 10 publications

Genetic parameters and allele frequencies of five new European Standard Set STR loci (D10S1248, D22S1045, D2S441, D1S1656, D12S391) in the population of Romania

Genetic parameters and allele frequencies of five new European Standard Set STR loci (D10S1248, D22S1045, D2S441, D1S1656, D12S391) in the population of Romania

Decreased accuracy of forensic DNA mixture analysis for groups with lower genetic diversity

Genetic Variation at 15 Polymorphic, Autosomal, Short Tandem Repeat Loci of Two Hungarian Populations in Transylvania, Romania

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