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Population data for Y-chromosome haplotypes defined by 17 STRs in South-East Romania

Stanciu F, Cuţăr V, Pîrlea S, Stoian V, Stoian IM, Sevastre O, Popescu OR. Leg Med (Tokyo). 2010 Sep;12(5):259-64. doi: 10.1016/j.legalmed.2010.05.007. PMID: 20621540.

Abstract:

Haplotypes and allele frequencies for 17 STR loci included in AmpFlSTR YFiler kit (DYS456, DYS389I, DYS390, DYS389II, DYS458, DYS19, DYS385a/b, DYS393, DYS391, DYS439, DYS635, DYS392, Y GATAH4, DYS437, DYS438 and DYS448) were determined in a sample of 122 unrelated males living in the South-East Romania. Genetic distances had been calculated and dendrograms had been generated for, South-East Romanian population and other eighteen surrounding populations.

Keywords: Short Tandem Repeats (STRs) AmpFlSTR YFiler, Y-chromosome haplotypes, South-East Romania

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

Stanciu F, Popescu OR, Stoian IM. Forensic Sci Int Genet. 2009 Dec;4(1):e39-40. doi: 10.1016/j.fsigen.2009.02.008. Epub 2009 Apr 8. PMID: 19948322.

Abstract:

Allele frequencies for 15 STR loci included in AmpFlSTR Identifiler kit (D8S1179, D21S11, D7S820, CSF1PO, D3S1358, TH01, D13S317, D16S539, D2S1338, D19S433, vWA, TPOX, D18S51, D5S818, and FGA) were determined in a sample of 1321 unrelated iniduals living in the region of Moldavia (NE Romania). No deviations from Hardy–Weinberg equilibrium were observed (only after applying the Bonferroni correction in the cases of D2S1338). Genetic parameters of forensic interest were calculated and comparison with geographically nearby populations was performed.

Keywords:DNA typing, Short tandem repeats (STRs), AmpFlSTR Identifiler, Population data, Moldavia

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STR data for the AmpFlSTR Identifiler from Dobruja region (SE Romania)

Stanciu F, Popescu OR, Stoian IM. Forensic Sci Int Genet. 2009 Mar;3(2):146-7. doi: 10.1016/j.fsigen.2008.09.009. Epub 2008 Oct 26. PMID: 19215887.

Abstract: 

Allele frequencies for 15 STR loci included in AmpFlSTR Identifiler kit (D8S1179, D21S11, D7S820, CSF1PO, D3S1358, TH01, D13S317, D16S539, D2S1338, D19S433, vWA, TPOX, D18S51, D5S818, and FGA) were determined in a sample of 569 unrelated iniduals living in the region of Dobruja (SE Romania). No deviations from Hardy–Weinberg equilibrium were observed. Genetic parameters of forensic interest were calculated and comparison with geographically nearby populations was performed.

Keywords: DNA typing, Short Tandem Repeats (STRs), AmpFlSTR Identifiler, Population

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Comprehensive STR data for the AmpFISTR Identifiler from Transylvania (NW Romania)

Stanciu F, Stoian IM, Popescu OR. Leg Med (Tokyo). 2009 Jan;11(1):48-50. doi: 10.1016/j.legalmed.2008.09.001. Epub 2008 Nov 11. PMID: 19004660.

Abstract:

Allele frequencies for 15 STR loci included in AmpFlSTR Identifiler kit (D8S1179, D21S11, D7S820, CSF1PO, D3S1358, TH01, D13S317, D16S539, D2S1338, D19S433, vWA, TPOX, D18S51, D5S818, and FGA) were determined in a sample of 1977 unrelated iniduals living in the region of Transylvania (NW Romania). No deviations from Hardy–Weinberg equilibrium were observed with the exception of D3S1358 and D16S539. Genetic parameters of forensic interest were calculated and comparison with geographically nearby populations was performed.

Keywords: Short tandem repeats (STRs); AmpFlSTR Identifiler; Population data; Transylvania

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The allelic frequencies analysis of two protein markers and several DNA-STR markers in human populations

Duţă-Cornescu G, Stoian V, Stanciu F, Simon-Gruiţă A, Rodewald A. Proceedings GSP 2005 – International Workshop on Genomic Signal Processing; p.143-148.

Abstract:

The genetic discipline cannot be uncoupled from bio-statistics, the tools to handle and analyze the large amount of data that are obtained from DNA, RNA and protein projects. The mathematics and bio-statistics give the genetic researcher the possibility to understand the genetic data, to interpret and to obtain maximum results from minimum data. The human race is characterized by variability, by polymorphisms. A polymorphism is a mendelian character which is present in at least two phenotypes in population, from which none is rare (i.e. none appears with a frequency lower then 1%-2%). At the beginning the protein polymorphisms were used in population genetic studies, but there relatively low variability and the need of large amounts of biologic material made them hard to use in large scale genetic analysis. In 1978 the first DNA polymorphism was discovered (the B – globin gene). After that a cascade of types of DNA markers came, RFLP (Restriction Fragment Length Polymorphism), VNTR (Variable Number Tandem Repeats) and STR (Short Tandem Repeats), and the analysis of the genetic structure of human populations became easy, the challenging part for a biologist being now the interpretation, the formulation of an equation in which all the data to be present This was possible by creating a mathematical model, a representation of the biological processes, in which both observed laboratory data and expected data are described in quantitative way.
In this paper, the authors present a large picture of how mathematics and statistic help a researcher to give a meaning of his genetic observation. We used the polymorphism of two proteins (Haptoglobin and Transferrin) and two STR – DNA markers to make a population survey and to compare the genetic structure of Romanian population with other European and non-European population. The data were interpreted in statistical method, under Hardy-Weinberg condition, using X tests. Also, using several other STR DNA markers and math methods we exemplify bow linkage analysis can be a powerful tool for prenatal diagnostic of different genetic disorders and for finding new genes.

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