Recommendations of the Polish-speaking Working Group of the International Society for Forensic Genetics (ISFG-PL) regarding the disclosure of biological traces and the handling of evidence for identification tests. / Zalecenia Polskojezycznej Grupy Miedzynarodowego Towarzystwa Genetyki Sadowej (ISFG-PL) dotyczace ujawniania i identyfikacji sladów biologicznych przeznaczonych do badan genetycznych.

The purpose of this paper is to formulate recommendations for the disclosure of biological traces in the laboratory and the handling of forensic evidence submitted for identification tests, recommended by the Polish Speaking Working Group of the International Society for Forensic Genetics. The paper organizes the knowledge of the most relevant stages of preliminary analysis of biological traces based on both literature sources and those resulting from years of research practice. Recommendations formulated in the course of multi-stage expert consultations contained in this study should be used in the development of laboratory procedures applied during the execution.

The effect of library preparation protocol on the efficiency of heteroplasmy detection in mitochondrial DNA using two massively parallel sequencing Illumina systems.

Massively parallel sequencing (MPS) technology has become the gold standard in mitochondrial DNA research due to its high sensitivity in detecting mtDNA heteroplasmy, a prognostic marker in various medical applications. Various MPS technologies and platforms used for mtDNA analysis exist. Obtaining reliable and sensitive results requires deep and uniform coverage of the entire mtDNA sequence, which is heavily influenced by the choice of library preparation method and sequencing platform. Here, we present a comparison of the sequencing coverage and the ability to heteroplasmy detection using two library preparation protocols (Nextera XT DNA Library Preparation Kit and Nextera DNA Flex Library Preparation Kit) and two different (MiSeq FGx and ISeq 100) Illumina MPS platforms. Our study indicates that the Nextera DNA Flex Library protocol provides a more balanced coverage along the mitogenome and a reliable heteroplasmy detection with both MiSeq and iSeq Illumina MPS systems.

A Machine-Learning-Based Approach to Prediction of Biogeographic Ancestry within Europe.

Data obtained with the use of massive parallel sequencing (MPS) can be valuable in population genetics studies. In particular, such data harbor the potential for distinguishing samples from different populations, especially from those coming from adjacent populations of common origin. Machine learning (ML) techniques seem to be especially well suited for analyzing large datasets obtained using MPS. The Slavic populations constitute about a third of the population of Europe and inhabit a large area of the continent, while being relatively closely related in population genetics terms. In this proof-of-concept study, various ML techniques were used to classify DNA samples from Slavic and non-Slavic individuals. The primary objective of this study was to empirically evaluate the feasibility of discerning the genetic provenance of individuals of Slavic descent who exhibit genetic similarity, with the overarching goal of categorizing DNA specimens derived from diverse Slavic population representatives. Raw sequencing data were pre-processed, to obtain a 1200 character-long binary vector. A total of three classifiers were used-Random Forest, Support Vector Machine (SVM), and XGBoost. The most-promising results were obtained using SVM with a linear kernel, with 99.9% accuracy and F1-scores of 0.9846-1.000 for all classes.

The methylation profile of IL4, IL5, IL10, IFNG and FOXP3 associated with environmental exposures differed between Polish infants with the food allergy and/or atopic dermatitis and without the disease.

Objectives: Epigenetic dynamics has been indicated to play a role in allergy development. The environmental stimuli have been shown to influence the methylation processes. This study investigated the differences in CpGs methylation rate of immune-attached genes between healthy and allergic infants. The research was aimed at finding evidence for the impact of environmental factors on methylation-based regulation of immunological processes in early childhood. Methods: The analysis of methylation level of CpGs in the IL4, IL5, IL10, IFNG and FOXP3 genes was performed using high resolution melt real time PCR technology. DNA was isolated from whole blood of Polish healthy and allergic infants, with food allergy and/or atopic dermatitis, aged under six months. Results: The significantly lower methylation level of FOXP3 among allergic infants compared to healthy ones was reported. Additional differences in methylation rates were found, when combining with environmental factors. In different studied groups, negative correlations between age and the IL10 and FOXP3 methylation were detected, and positive - in the case of IL4. Among infants with different allergy symptoms, the decrease in methylation level of IFNG, IL10, IL4 and FOXP3 associated with passive smoke exposure was observed. Complications during pregnancy were linked to different pattern of the IFNG, IL5, IL4 and IL10 methylation depending on allergy status. The IFNG and IL5 methylation rates were higher among exclusively breastfed infants with atopic dermatitis compared to the non-breastfed. A decrease in the IFNG methylation was noted among allergic patients fed exclusively with milk formula. In different study groups, a negative correlation between IFNG, IL5 methylation and maternal BMI or IL5 methylation and weight was noted. Some positive correlations between methylation rate of IL10 and child's weight were found. A higher methylation of IL4 was positively correlated with the number of family members with allergy. Conclusion: The FOXP3 methylation in allergic infants was lower than in the healthy ones. The methylation profile of IL4, IL5, IL10, IFNG and FOXP3 associated with environmental exposures differed between the studied groups. The results offer insights into epigenetic regulation of immunological response in early childhood.

Capability of the iSeq 100 sequencing system from Illumina to detect low-level substitutions in the human mitochondrial genome.

The significance of mtDNA heteroplasmy in forensic and medical genetics has increased recently because massively parallel sequencing (MPS) technologies enable more accurate and precise detection of minority nucleotide variants. Recent reports have shown that detection of low-level substitutions may depend on library preparation or sequencing protocol, and can vary for different MPS platforms. The MiSeq (Illumina) and Ion S5 (Thermo Fisher Scientific) are mainly used for heteroplasmy detection, but no data are available regarding the iSeq 100, an Illumina platform of the smallest throughput. Notably, unlike the other systems, the machine utilizes sequencing by synthesis one-channel chemistry to determine DNA sequences. Thus, it is important to verify the capability of the iSeq 100 system to determine mitochondrial haplotypes and detect heteroplasmic substitutions. In this study, previously determined entire mitochondrial genomes were sequenced with the iSeq 100 system. Each mitogenome was sequenced twice, giving approximately 2000x and 10,000x coverage. All homoplasmic mutations and minority variants above the 19 % level detected with the iSeq 100 system were also observed after dideoxy sequencing. Moreover, all heteroplasmic substitutions above the 2 % level were consistently detected with SBS one-channel chemistry. However, detection of low-level mtDNA variants may require additional, confirmatory experiments. In summary, the iSeq 100 system enables reproducible and accurate sequencing of human mitochondrial genomes. Detection of mtDNA minority variants depends on the laboratory protocol and sequencing platform used, but homoplasmic mutations and heteroplasmy above the 2 % level can be correctly detected with the iSeq 100 system.

Commercially available SARS-CoV-2 RT-qPCR diagnostic tests need obligatory internal validation.

Although infection with severe acute respiratory syndrome coronavirus 2 (SARS CoV-2) does not appear to be as serious a threat to public health as it was in 2020-2021, the increased transmissibility of multiple Omicron descendants may constitute a continuous challenge for health care systems, and reliable detection of new variants is still imperative. This study evaluates the performance of three SARS-CoV-2 diagnostic tests: Novel Coronavirus (2019-nCoV) Real Time Multiplex RT-PCR Kit (Liferiver); Vitassay qPCR SARS-CoV-2 (Vitaassay) and TaqPath COVID­19 CE-IVD RT-PCR Kit (Thermo Fisher Scientific). The analytical sensitivity of the assays as well as their specificity were determined with the use of synthetic nucleic acid standards and clinical samples. All assays appeared to be 100% specific for SARS-CoV-2 RNA in general and the Omicron variant in particular. The LOD determined during this validation was 10 viral RNA copies/reaction for Liferiver and TaqPath and 100 viral RNA copies for Vitassay. We cannot exclude that the LOD for the Vitassay might be lower and close to the manufacturer's declared value of ≥ 20 genome copies/reaction, as we obtained 90% positive results for 10 viral RNA copies/reaction. Mean Ct values at the concentration of 10 viral RNA copies/reaction for the Liferiver, Vitassay and TaqPath kits (35, 37 and 33, respectively) were significantly lower than the cutoff values declared by the manufacturers (≤ 41, ≤ 40 and ≤ 37, respectively). We suggest reporting outcomes based on LOD and cutoff Ct values determined during internal validation rather than those declared by the assays' producers.

Low-level point heteroplasmy detection in human mitogenomes amplified with different polymerases and sequenced on MiSeq FGx platform.

Introduction: Massively parallel sequencing of mitogenomes usually requires prior amplification. The PCR step may influence the quality of the data obtained, especially when low-level heteroplasmy detection is applied. Aim: The aim of this study was to compare the reliability of two different DNA polymerases in detecting homoplasmic and heteroplasmic substitutions in human mitogenomes. Material and methods: Mitogenomes of five samples were amplified with Long PCR Enzyme Mix from Fermentas or TaKaRa LA Taq DNA Polymerase from TaKaRa. Then, NexteraTM XT DNA libraries were sequenced on MiSeq FGx platform (Illumina). mtDNA substitutions were called for alternative variants above the 1% level. Results: All homoplasmic substitutions detected in amplicons generated with polymerases studied here and sequenced on MiSeq FGx system were consistently identified as homoplasmies with alternative sequencing methods. TaKaRa LA Taq DNA Polymerase was found to be less accurate in low-level heteroplasmy detection than Long PCR Enzyme Mix enzyme as more false negative and false positive results were observed for minority variants called above the 1% level. Nevertheless, both PCR systems studied can be successfully used to detect authentic mtDNA substitutions, for which minority variants exceed the 3.61% level assuming at least 10,000x coverage and sequencing Nextera XT DNA libraries on MiSeq FGx machine. Conclusions: The accuracy and sensitivity of point heteroplasmy detection with the MiSeq FGx instrument varies on polymerase used for mtDNA amplification. Therefore, it is recommended to validate the laboratory protocols used for mtDNA substitution detection prior to their implementation for the forensic or medical genetics purposes.

Overlapping association signals in the genetics of hair-related phenotypes in humans and their relevance to predictive DNA analysis.

Genetic prediction of different hair phenotypes can help reconstruct the physical appearance of an individual whose biological sample is analyzed in criminal and identification cases. Up to date, forensic prediction models for hair colour, hair shape, hair loss and hair greying have been developed, but studies investigating predictability of hair thickness and density traits are missing. First data suggesting overlapping associations in various hair features have emerged in recent years, suggesting partially common genetic basis and molecular mechanisms, and this knowledge can be used for predictive purposes. Here we aim to broaden our understanding of the genetics underlying head, facial and body hair thickness and density traits and examine the association for a set of literature SNPs. We characterize the overlap in SNP association for various hair phenotypes, the extent of genetic interactions and the potential for genetic prediction. The study involved 999 samples from Poland, genotyped for 240 SNPs with targeted next-generation sequencing. Logistic regression methods were applied for association and prediction analyses while entropy-based approach was used for interaction testing. As a result, we refined known associations for monobrow and hairiness (PAX3, 5q13.2, TBX) and identified two novel association signals in IGFBP5 and VDR. Both genes were among top significant loci, showed broad association with different hair-related traits and were implicated in multiple interaction effects. Overall, for 14.7% of SNPs previously associated with head hair loss and/or hair shape, a positive signal of association was revealed with at least one hair feature studied in the current research. Overlap in association with at least two hair-related traits was demonstrated for 24 distinct loci. We showed that the associated SNPs explain ∼5-30% of the variation observed in particular hair traits and allow moderate accuracy of prediction. The highest accuracy was achieved for hairiness level prediction in females (AUC = 0.69 for the "none", 0.69 for the "low" and 0.76 for the "excessive" hairiness category) and monobrow (AUC = 0.69 for the "none", 0.62 for the "slight" and 0.70 for the "significant" monobrow category) with 33% of the variation in hairiness level in females explained by 7 SNPs and age, and 20% of the variation in monobrow captured by 7 SNPs and sex. Our study presents clear evidence of pleiotropy and epistasis in the genetics of hair traits. The acquired knowledge may have practical application in forensics, as well as in the cosmetic industry and anthropological research.

An association between copy number variation of enhancer involved in craniofacial development and biogeographic ancestry.

Human facial morphology is a combination of many complex traits and is determined by a large number of genes and enhancers. Here, we report a Copy Number Variation (CNV) study of enhancer hs1431 in populations of Central European and South Siberian ancestry. Central European samples included 97 Poles, while South Siberian samples included 78 Buryats and 27 Tuvinians. CNVs were detected by real-time PCR, using ViiA™ 7 Real-Time PCR System (Applied Biosystems). We revealed significant differences in CNV of hs1431 enhancer between Polish and Buryat population (p=0.0378), but not between Central European and South Siberian population (p=0.1225). Our results suggest that an increase in copy number variation of hs1431 enhancer is associated with biogeographic ancestry. However, this result needs extending and replicating in larger cohorts. This is the first study revealing the presence of copy number variation of enhancer hs1431 in humans.

Verification of insertion-deletion markers (InDels) and microsatellites (STRs) as subsidiary tools for inferring Slavic population ancestry.

Genetic markers for the prediction of biogeographical ancestry have proved to be effective tools for law enforcement agencies for many years now. In this study, we attempted to assess the potential of insertion-deletion markers (InDel) and microsatellites (STRs) as subsidiary polymorphisms for inference of Slavic population ancestry. For that purpose, we genotyped Slavic-speaking populations samples from Belarus, the Czech Republic, Poland, Serbia, Ukraine and Russia in 46 InDels and 15 STRs by PCR and capillary electrophoresis and analyzed for between-population differentiation with the use of distance-based methods (FST, principal component analysis and multidimensional scaling). Additionally, we studied a sample from a Polish individual of well-documented genealogy whose biogeographic ancestry had previously been inferred by commercial genomic services using autosomal single nucleotide polymorphisms (SNPs), mitochondrial DNA and Y-SNP markers. For comparative purposes, we used genotype data collected in the "forInDel" browser and allele frequencies from previously published papers. The results obtained for InDels and STRs show that the Slavic populations constitute a genetically homogeneous group, with the exception of the Czechs differing clearly from the other tested populations. The analysis of the known Polish sample in the Snipper application proves the usefulness of the InDel markers on the continental level only. Conversely, microsatellites not only improve prediction, but are also informative if considered as an independent set of ancestry markers.

Mother's Milk Microbiome Shaping Fecal and Skin Microbiota in Infants with Food Allergy and Atopic Dermatitis: A Pilot Analysis.

The child microbiome, including gut and skin communities, is shaped by a multitude of factors, and breastfeeding is one of the most essential. Food allergy (FA) and atopic dermatitis (AD) are among the most common diseases in pediatrics, with the prevalence of each up to 6% and 20%, respectively. Therefore, we aimed at finding differences between the fecal and skin microbiomes of FA and AD patients in the context of breastfeeding, by means of the Illumina sequencing of 16S rRNA gene fragment libraries amplified from the total DNA isolated from samples collected from allergic and healthy infants. We also analyzed milk samples from the mothers of the examined children and searched for patterns of incidence suggesting milk influence on an infant's allergy status. Here we show that a mother's milk influences her child's fecal and skin microbiomes and identify Acinetobacter as the taxon whose abundance is correlated with milk and child-derived samples. We demonstrate that breastfeeding makes allergic children's fecal and skin communities more similar to those of healthy infants than in the case of formula-feeding. We also identify signature taxa that might be important in maintaining health or allergy development.

Variability of the rs333 in Polish patients with lupus erythematosus.

INTRODUCTION: Lupus erythematosus (LE) is an autoimmune disease with a strong influence of genetic and environmental factors. C-C motif chemokine receptor 5 (CCR5) gene expression may affect the development and intensity of LE. AIM: To evaluate the possible association between the 32bp deletion in rs333 locus located within the CCR5 gene and the development of LE or the occurrence of various clinical symptoms in the course of the disease. MATERIAL AND METHODS: One hundred and twenty patients with LE (77 with systemic lupus erythematosus (SLE) and 43 with discoid lupus erythematosus (DLE)) and 100 healthy controls from the Polish population were genotyped for deletion in rs333. RESULTS: 32 bp deletion in the rs333 was significantly more frequent among healthy individuals than DLE patients. Moreover, heterozygotes and homozygotes with deletion in rs333 were significantly more frequent within the control group than the group of patients with discoid lupus erythematosus. In contrast, any statistically significant differences in allele or genotype frequencies between healthy persons and SLE patients were observed. Furthermore, nucleotide sequence variability of rs333 was not associated with certain clinical symptoms of LE patients. CONCLUSIONS: Deletion in the rs333 might be a protective factor for DLE, but not SLE in the Polish population. Nevertheless further studies performed on larger populations are needed to confirm these observations.

Searching for improvements in predicting human eye colour from DNA.

Increasing understanding of human genome variability allows for better use of the predictive potential of DNA. An obvious direct application is the prediction of the physical phenotypes. Significant success has been achieved, especially in predicting pigmentation characteristics, but the inference of some phenotypes is still challenging. In search of further improvements in predicting human eye colour, we conducted whole-exome (enriched in regulome) sequencing of 150 Polish samples to discover new markers. For this, we adopted quantitative characterization of eye colour phenotypes using high-resolution photographic images of the iris in combination with DIAT software analysis. An independent set of 849 samples was used for subsequent predictive modelling. Newly identified candidates and 114 additional literature-based selected SNPs, previously associated with pigmentation, and advanced machine learning algorithms were used. Whole-exome sequencing analysis found 27 previously unreported candidate SNP markers for eye colour. The highest overall prediction accuracies were achieved with LASSO-regularized and BIC-based selected regression models. A new candidate variant, rs2253104, located in the ARFIP2 gene and identified with the HyperLasso method, revealed predictive potential and was included in the best-performing regression models. Advanced machine learning approaches showed a significant increase in sensitivity of intermediate eye colour prediction (up to 39%) compared to 0% obtained for the original IrisPlex model. We identified a new potential predictor of eye colour and evaluated several widely used advanced machine learning algorithms in predictive analysis of this trait. Our results provide useful hints for developing future predictive models for eye colour in forensic and anthropological studies.

A Combined Analysis of Gut and Skin Microbiota in Infants with Food Allergy and Atopic Dermatitis: A Pilot Study.

The gut microbiota in patients with food allergy, and the skin microbiota in atopic dermatitis patients differ from those of healthy people. We hypothesize that relationships may exist between gut and skin microbiota in patients with allergies. The aim of this study was to determine the possible relationship between gut and skin microbiota in patients with allergies, hence simultaneous analysis of the two compartments of microbiota was performed in infants with and without allergic symptoms. Fifty-nine infants with food allergy and/or atopic dermatitis and 28 healthy children were enrolled in the study. The skin and gut microbiota were evaluated using 16S rRNA gene amplicon sequencing. No significant differences in the α-diversity of dermal or fecal microbiota were observed between allergic and non-allergic infants; however, a significant relationship was found between bacterial community structure and allergy phenotypes, especially in the fecal samples. Certain clinical conditions were associated with characteristic bacterial taxa in the skin and gut microbiota. Positive correlations were found between skin and fecal samples in the abundance of Gemella among allergic infants, and Lactobacillus and Bacteroides among healthy infants. Although infants with allergies and healthy infants demonstrate microbiota with similar α-diversity, some differences in ß-diversity and bacterial species abundance can be seen, which may depend on the phenotype of the allergy. For some organisms, their abundance in skin and feces samples may be correlated, and these correlations might serve as indicators of the host's allergic state.

Clear phylogeographic pattern and genetic structure of wild boar Sus scrofa population in Central and Eastern Europe.

The wild boar Sus scrofa is one of the widely spread ungulate species in Europe, yet the origin and genetic structure of the population inhabiting Central and Eastern Europe are not well recognized. We analysed 101 newly obtained sequences of complete mtDNA genomes and 548 D-loop sequences of the species and combined them with previously published data. We identified five phylogenetic clades in Europe with clear phylogeographic pattern. Two of them occurred mainly in western and central part of the continent, while the range of the third clade covered North-Eastern, Central and South-Eastern Europe. The two other clades had rather restricted distribution. In Central Europe, we identified a contact zone of three mtDNA clades. Population genetic structure reflected clear phylogeographic pattern of wild boar in this part of Europe. The contribution of lineages originating from the southern (Dinaric-Balkan) and eastern (northern cost of the Black Sea) areas to the observed phylogeographic pattern of the species in Central and Eastern Europe was larger than those from the regions located in southern France, Iberian, and Italian Peninsulas. The present work was the first mitogenomic analysis conducted in Central and Eastern Europe to study genetic diversity and structure of wild boar population.

The microbiome and its impact on food allergy and atopic dermatitis in children.

Food allergy (FA) affects 4-10% of children, especially children with atopic dermatitis (AD). During infancy the gut microbiome may determine both the course of FA and tolerance to food allergens. Analogically, the skin microbiome changes in the course of AD. Most studies have associated FA with a lower abundance and diversity of Lactobacillales and Clostridiales, but greater numbers of Enterobacterales, while AD in children has been associated with lower numbers of Staphylococcus epidermidis and S. hominis but an abundance of S. aureus and Streptococcus species. An understanding of the impact of the microbiome on the clinical course of FA and AD may allow for the development of new models of allergy treatment and prevention.

Recommendations of the Polish Speaking Working Group of the International Society for Forensic Genetics on forensic Y chromosome typing.

Y chromosome typing has been performed in forensic genetic practice for more than 20 years. The latest recommendations of the DNA Commission of the International Society of Forensic Genetics (ISFG) concerning the application of Y-chromosomal markers in forensic genetics were published in 2006. The aim of this report is to recapitulate, systematise and supplement existing recommendations on the forensic analysis of polymorphism of the Y chromosome with standards already implemented in practice, new capabilities linked to the development of research techniques as well as current solutions used in statistical analysis. The recommendations have been adapted specifically to aspects related to the preparation of expert opinions in the field of forensic genetics in Poland. The Polish Speaking Working Group of the ISFG believes that the presented guidelines should become a standard implemented by all Polish laboratories performing Y chromosome typing for forensic purposes.

Exploring the possibility of predicting human head hair greying from DNA using whole-exome and targeted NGS data.

BACKGROUND: Greying of the hair is an obvious sign of human aging. In addition to age, sex- and ancestry-specific patterns of hair greying are also observed and the progression of greying may be affected by environmental factors. However, little is known about the genetic control of this process. This study aimed to assess the potential of genetic data to predict hair greying in a population of nearly 1000 individuals from Poland. RESULTS: The study involved whole-exome sequencing followed by targeted analysis of 378 exome-wide and literature-based selected SNPs. For the selection of predictors, the minimum redundancy maximum relevance (mRMRe) method was used, and then two prediction models were developed. The models included age, sex and 13 unique SNPs. Two SNPs of the highest mRMRe score included whole-exome identified KIF1A rs59733750 and previously linked with hair loss FGF5 rs7680591. The model for greying vs. no greying prediction achieved accuracy of cross-validated AUC = 0.873. In the 3-grade classification cross-validated AUC equalled 0.864 for no greying, 0.791 for mild greying and 0.875 for severe greying. Although these values present fairly accurate prediction, most of the prediction information was brought by age alone. Genetic variants explained < 10% of hair greying variation and the impact of particular SNPs on prediction accuracy was found to be small. CONCLUSIONS: The rate of changes in human progressive traits shows inter-individual variation, therefore they are perceived as biomarkers of the biological age of the organism. The knowledge on the mechanisms underlying phenotypic aging can be of special interest to the medicine, cosmetics industry and forensics. Our study improves the knowledge on the genetics underlying hair greying processes, presents prototype models for prediction and proves hair greying being genetically a very complex trait. Finally, we propose a four-step approach based on genetic and epigenetic data analysis allowing for i) sex determination; ii) genetic ancestry inference; iii) greying-associated SNPs assignment and iv) epigenetic age estimation, all needed for a final prediction of greying.