Microsatellites' mutation modeling through the analysis of the Y-chromosomal transmission: Results of a GHEP-ISFG collaborative study.

The Spanish and Portuguese Speaking Working Group of the International Society for Forensic Genetics (GHEP-ISFG) organized a collaborative study on mutations of Y-chromosomal short tandem repeats (Y-STRs). New data from 2225 father-son duos and data from 44 previously published reports, corresponding to 25,729 duos, were collected and analyzed. Marker-specific mutation rates were estimated for 33 Y-STRs. Although highly dependent on the analyzed marker, mutations compatible with the gain or loss of a single repeat were 23.2 times more likely than those involving a greater number of repeats. Longer alleles (relatively to the modal one) showed to be nearly twice more mutable than the shorter ones. Within the subset of longer alleles, the loss of repeats showed to be nearly twice more likely than the gain. Conversely, shorter alleles showed a symmetrical trend, with repeat gains being twofold more frequent than reductions. A positive correlation between the paternal age and the mutation rate was observed, strengthening previous findings. The results of a machine learning approach, via logistic regression analyses, allowed the establishment of algebraic formulas for estimating the probability of mutation depending on paternal age and allele length for DYS389I, DYS393 and DYS627. Algebraic formulas could also be established considering only the allele length as predictor for DYS19, DYS389I, DYS389II-I, DYS390, DYS391, DYS393, DYS437, DYS439, DYS449, DYS456, DYS458, DYS460, DYS481, DYS518, DYS533, DYS576, DYS626 and DYS627 loci. For the remaining Y-STRs, a lack of statistical significance was observed, probably as a consequence of the small effective size of the subsets available, a common difficulty in the modeling of rare events as is the case of mutations. The amount of data used in the different analyses varied widely, depending on how the data were reported in the publications analyzed. This shows a regrettable waste of produced data, due to inadequate communication of the results, supporting an urgent need of publication guidelines for mutation studies.

Study of InDel genetic markers with forensic and ancestry informative interest in PALOP's immigrant populations in Lisboa.

The migratory phenomenon in Portugal has become one of the main factors for the genetic variability. In the last few years, a new class of autosomal insertion/deletion markers-InDel-has attracted interest in forensic genetics. Since there is no data for InDel markers of Portuguese-speaking African countries (PALOP) immigrants living in Lisboa, our aim is the characterization of those groups of individuals by typing them with at least 30 InDel markers and to compare different groups of individuals/populations. We studied 454 bloodstain samples belonging to immigrant individuals from Angola, Guinea-Bissau, and Mozambique. DNA extraction was performed with the Chelex® 100 method. After extraction, all samples were typed with the Investigator® DIPplex method. Through the obtained results, allelic frequencies show that all markers are at Hardy-Weinberg equilibrium, and we can confirm that those populations show significant genetic distances between themselves, between them, and the host Lisboa population. Because of this, they introduce genetic variability in Lisboa population.

Study of genetic markers of CODIS and ESS systems in a population of individuals from Cabo Verde living in Lisboa.

Twenty-two autosomal short tandem repeats included in the PowerPlex® Fusion System Amplification kit (Promega Corporation) were genotyped in a population sample of 500 unrelated individuals from Cabo Verde living in Lisboa. Allelic frequency data and forensic and statistical parameters were calculated and evaluated in this work. The genetic relationship among immigrant population from Cabo Verde living in Lisboa and other populations, such as Brazilian and Angola immigrants living in Lisboa; Afro-Americans, Caucasians, Hispanics and Asians living in the USA and the population from Lisboa was assessed, and a multidimensional scaling plot was drown to show these results.

Genetic portrait of Lisboa immigrant population from Angola with mitochondrial DNA.

Portugal has been considered a country of emigrants, nevertheless in the past decades the number of immigrants has grown throughout all the country. This migratory flux has contributed to a raise of heterogeneity at multiple levels. According to statistical data, at the end of 2012 the total number of Angolan immigrants in Portugal equalled about 20,000 individuals. A territorial predominance has been found for the metropolitan region of Lisboa. Angola is a country located in the Atlantic coast of Africa. The presence of Bantu people and the colonisation by Portuguese people on Angolan territory are considered to be the major modulators of the genetic patterns in Angola. Mitochondrial DNA is known for its features that enable an approach to the study of human origin and evolution, as well to the different migration pathways of populations. This genetic marker can also contribute to ascertaining the identity of individuals in forensic cases. The main aim of this study was to determine the genetic structure of the Angolan immigrant population living in Lisboa. Therefore, a total of 173 individuals, inhabitants in Lisboa, nonrelated and with Angolan ancestry were studied. Total control region of mitochondrial DNA was amplified from position 16,024 to position 576 using two pairs of primers - L15997/H016 and L16555/H639. The majority of the identified haplotypes belong to mtDNA lineages known to be specific of the sub-Saharan region. Our results show that this immigrant population inhabitant in Lisboa presents a genetic profile that is characteristic of African populations. This study also demonstrates the genetic diversity that this immigrant population introduces in Lisboa. This does not contradict the historical data concerning colonization of Angola, since this was made mainly by male European individuals, who did not contribute with their maternal information of mtDNA. Lisboa immigrant population from Angola can be accessed via EMPOP dataset with accession number EMPOP662.