Slow and fast evolving markers typing in Modena males (North Italy)

Ferri, Gianmarco; Alù, Milena; Corradini, Beatrice; Radheshi, Erjon; Beduschi, Giovanni

doi:10.1016/j.fsigen.2008.05.004

Cited by 15 publications

(3 citation statements)

References 17 publications

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“…Other populations with low genetic diversity values when compared to the present results include those from Croatia (R st =0.0077, P=0.0148, Grskovic et al, 2011 ), Slovenia (R st =0.0497, P=0.0000, Sterlinko et al, 2001), Hungary (R st =0.0806, P=0.0000, Füredi et al, 1999;Egyed et al, 2000;Beer et al, 2004;Völgyi et al, 2009;Pamjav et al, 2017), Greece (R st =0.0943, P=0.0000, Parreira et al, 2002;Robino et al, 2004;Bosch et al, 2006;Kovatsi et al, 2009;Katsaloulis et al, 2013;Martínez et al, 2016) and North Macedonia (R st =0.1000, P=0.0000, Spiroski et al, 2005;Jakovski et al, 2019;Jankova et al, 2019). The highest genetic distance was observed when our study population was compared with the populations of Belgium (R st = 0.2341, P=0.000, Roewer et al, 2001;Maesschalck et al, 2005;Mertens et al, 2007;Purps et al, 2014;Claerhout et al, 2020), Italy (R st =0.2133, P=0.0000, Grignani et al, 2000;Presciuttini et al, 2001;Ghiani et al, 2002;Cerri et al, 2005;Robino et al, 2006;Turrina et al, 2006;Onofri et al, 2007;Ferri et al, 2008;Ferri et al, 2009;Rodríguez et al, 2009;Verzeletti et al, 2009;Brisighelli et al, 2012;Piglionica et al, 2013;Robino et al, 2015;Rapone et al, 2016;Sarno et al, 2016;…”

Section: Resultsmentioning

confidence: 60%

Contemporary population genetics data for 23 Y-STR loci in the general Bosnian-Herzegovinian population

Jordamović

Kojović

Doğan

et al. 2021

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Bosnia and Herzegovina is located in the South-Eastern Europe, characterized by numerous historical influences, massive migration processes and complex population structure. For that reason, the aim of this study is to provide an accurate and precise update of the population genetics data of allele frequencies on 23 Y-STR loci in Bosnia and Herzegovina using larger sample size. For this purpose, 480 adult male individuals from the general population have been genotyped over 23 Y-STR loci contained in the PowerPlex Y23 system. Population genetics parameters have been calculated, namely allele and haplotype frequencies, gene and haplotype diversity, as well as Rst and P values for the assessment of interpopulation differences. The obtained results are in close agreement with previously published data for Bosnian-Herzegovinian population, as well as for local subpopulations. This study offers significantly increased resolution and information content, with 454 unique haplotypes. Population comparison reveals no statistically significant differences between the study population and 12 European populations used for comparison, as visualized through an MDS plot and neighbour-joining phylogenetic tree. This study offers representative data for local Y chromosomes that can be used for forensic applications, paternity and kinship testing, as well as for genealogical studies.

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Section: Resultsmentioning

confidence: 60%

Contemporary population genetics data for 23 Y-STR loci in the general Bosnian-Herzegovinian population

Jordamović

Kojović

Doğan

et al. 2021

GenApp

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“…The YHRD entries used as reference population samples can be found under the accession numbers: YA003601: West Croatia (N = 220); YA003595: North Croatia (N = 220) [29]; YA003463: Southern Poland (N = 380) [30]; YA003016: Central Portugal (N = 303) [31]; YA003474: Alpujarra de la Sierra (Spain, N = 50) [32]; YA003447: Modena (Italy-1, N = 130) [33]; YA003262: Ravenna (Italy-2, N = 384) [33]; and YA002890: North Tyrol (Austria, N = 135) [18].…”

Section: Methodsmentioning

confidence: 99%

Pasture Names with Romance and Slavic Roots Facilitate Dissection of Y Chromosome Variation in an Exclusively German-Speaking Alpine Region

et al. 2012

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The small alpine district of East Tyrol (Austria) has an exceptional demographic history. It was contemporaneously inhabited by members of the Romance, the Slavic and the Germanic language groups for centuries. Since the Late Middle Ages, however, the population of the principally agrarian-oriented area is solely Germanic speaking. Historic facts about East Tyrol's colonization are rare, but spatial density-distribution analysis based on the etymology of place-names has facilitated accurate spatial mapping of the various language groups' former settlement regions. To test for present-day Y chromosome population substructure, molecular genetic data were compared to the information attained by the linguistic analysis of pasture names. The linguistic data were used for subdividing East Tyrol into two regions of former Romance (A) and Slavic (B) settlement. Samples from 270 East Tyrolean men were genotyped for 17 Y-chromosomal microsatellites (Y-STRs) and 27 single nucleotide polymorphisms (Y-SNPs). Analysis of the probands' surnames revealed no evidence for spatial genetic structuring. Also, spatial autocorrelation analysis did not indicate significant correlation between genetic (Y-STR haplotypes) and geographic distance. Haplogroup R-M17 chromosomes, however, were absent in region A, but constituted one of the most frequent haplogroups in region B. The R-M343 (R1b) clade showed a marked and complementary frequency distribution pattern in these two regions. To further test East Tyrol's modern Y-chromosomal landscape for geographic patterning attributable to the early history of settlement in this alpine area, principal coordinates analysis was performed. The Y-STR haplotypes from region A clearly clustered with those of Romance reference populations and the samples from region B matched best with Germanic speaking reference populations. The combined use of onomastic and molecular genetic data revealed and mapped the marked structuring of the distribution of Y chromosomes in an alpine region that has been culturally homogeneous for centuries.

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“…A large varia- tion in plant species exists making botanical evidence potentially important. Species can be identified using a traditional microscope by morphology or plant fragments can be characterised using a molecular approach (Linacre et al, 2005;Ferri et al, 2009). Bryophytes can be useful to provide botanical evidence for forensic investigations (Virtanen et al, 2007).…”

Section: Plant Fragmentsmentioning

confidence: 99%

Soil organic characterisation in forensic case work

Dawson¹

2017

Episodes

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Soils are composed of natural inorganic and organic (both natural plant and animal and also man-made) components. The organic soil profile is complex, and there is a range of analytical methods available; however, the organic characteristics strongly complement that of the soil inorganic profile characteristics to provide a complete soil analytical profile, allowing detailed comparison and evaluation of soil recovered from questioned items with soil at a crime scene and to also provide clues in crime reconstruction and in search operations. Organic profiles can provide information about a range of soil forming features such as the vegetation present, land use past and present, altitude, etc., as well as providing information about nearness to industry and roads, tracks and rail networks and infrastructure. Biomarkers which remain in soil as a result of body decomposition can also be analysed and used in search and to help locate human remains.

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Slow and fast evolving markers typing in Modena males (North Italy)

Cited by 15 publications

References 17 publications

Contemporary population genetics data for 23 Y-STR loci in the general Bosnian-Herzegovinian population

Contemporary population genetics data for 23 Y-STR loci in the general Bosnian-Herzegovinian population

Pasture Names with Romance and Slavic Roots Facilitate Dissection of Y Chromosome Variation in an Exclusively German-Speaking Alpine Region

Soil organic characterisation in forensic case work

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