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

Stanciu F, Vladu S, Cutar V, Cocioaba D, Iancu F, Cotolea A, Stoian IM. Croat Med J. 2013 Jun;54(3):232-7. doi: 10.3325/cmj.2013.54.232. PMID: 23771753; PMCID: PMC3692331.

Aim: To 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.

Methods: DNA 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.

Results: Power 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.

Conclusion: New 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.




[Adam] a fost o încercare. Una din multele mele încercări. Îmi doream  a fi un început de roman, în care descriam aventurile unei drone umane, un fel de robot care se credea om, la fel ca personajele din serialul Westworld. Numai că nu a fost să fie. Ideea de dronă a luat o altă formă în Omnium (romanul meu de debut) și până la urmă am abandonat ideea.

În lipsă de material și la insistențele editorului de la revista Ficț, l-am transformat pe [Adam] într-o povestire. Nu știu cât de reușită a fost acea transformare.

Povestea originală poate fi citită aici: [Adam]. O versiune îmbunătățită poate fi citită mai jos.


Building a minimalist DNA database management system using Pruem tools

Stanciu F. Poster at 10th International Symposium on Forensic Sciences, 27-30 September 2011, Bratislava, Slovakia.


When it comes of DNA data exchange base on 2008/615/JHA and 2008/616/JHA Council Decisions, each EU country is free of choosing the implementation means. Romania has some experience in implementing three different types of IT solutions: a bought one – Dimensions 2.0, an in-house built solution – Pruem tools and a freeware solution – CODIS 7.0, each of them with their specific advantages and disadvantages. Starting with the Pruem DNA data exchange infrastructure and base on Pruem tools any DNA database laboratory, which has some Pruem DNA data exchange experience, can build from scratch a simple DNA database management system for laboratory internal DNA profiles comparison purposes, with a minimum of human and IT resources. This paper presents a review of the Romanian National DNA Database Laboratory efforts in building a minimalist DNA database management system using the most common and freely available Pruem tools: Communication component (Germany), Match engine (Austria) and Graphical user interface (Netherlands).

Keywords: Pruem DNA data exchange, Pruem tools, DNA database management system, Romanian National DNA Database Laboratory.



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.


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



A comparative study of ARMS-PCR and RFLP-PCR as methods for rapid SNP identification

Duţă-Cornescu G, Simon-Gruiţă A, Constantin N, Stanciu F, Dobre M, Banică D, Tuduce R, Cristea P, Stoian V. Romanian Biotechnological Letters, 2009;14(6):4845-4850.


Identification of single nucleotide polymorphisms (SNPs) is now possible by many techniques, but choosing one of these methods for a particular case represents quite a challenge, because the researcher must take into consideration many factors.
In this article the authors are trying to present a comparative study of two methods, used currently in our laboratory, for identification of SNPs polymorphisms: ARMS – PCR (amplification refractory mutation system) and RFLP – PCR (restriction fragment length polymorphism). The two SNPs on which we focused belong to human VDR gene (vitamin D receptor gene) and are ApaI (a G→T base change in intron 8) and TaqI (a silent T→C base change in codon 352), named after the restriction enzymes which recognize these variations.
Since the results obtained by both methods were confirmed by direct sequencing, we concluded that ARMS-PCR method is the most adequate for detecting the alternative genotypes determined by single base mutations. The simplicity of this method makes it suitable for the analysis of large number of samples, situation which is usually met in case-control and population genetic studies because this test is easy to use, cost – effective and have an accuracy of 99,9%

Keywords:ARMS-PCR, RFLP-PCR, sequencing, VDR gene, Apa I and Taq I polymorphisms