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The EUROFORGEN NAME panel is a regional ancestry panel designed to differentiate individuals from the Middle East, North Africa, and Europe. The first version of the panel was developed for the MassARRAY system and included 111 SNPs. Here, a custom AmpliSeq EUROFORGEN NAME panel with 102 of the original 111 loci was used to sequence 1098 individuals from 14 populations from Europe, the Middle East, North Africa, North-East Africa, and South-Central Asia. These samples were also sequenced with a global ancestry panel, the Precision ID Ancestry Panel. The GenoGeographer software was used to assign the AIM profiles to reference populations and calculate the weight of the evidence as likelihood ratios. The combination of the EUROFORGEN NAME and Precision ID Ancestry panels led to fewer ambiguous assignments, especially for individuals from the Middle East and South-Central Asia. The likelihood ratios showed that North African individuals could be separated from European and Middle Eastern individuals using the Precision ID Ancestry Panel. The separation improved with the addition of the EUROFORGEN NAME panel. The analyses also showed that the separation of Middle Eastern populations from European and South-Central Asian populations was challenging even when both panels were applied.

The EUROFORGEN NAME panel is a regional ancestry panel designed to differentiate individuals from the Middle East, North Africa, and Europe. The first version of the panel was developed for the MassARRAY system and included 111 SNPs. Here, a custom AmpliSeq EUROFORGEN NAME panel with 102 of the original 111 loci was used to sequence 1098 individuals from 14 populations from Europe, the Middle East, North Africa, North-East Africa, and South-Central Asia. These samples were also sequenced with a global ancestry panel, the Precision ID Ancestry Panel. The GenoGeographer software was used to assign the AIM profiles to reference populations and calculate the weight of the evidence as likelihood ratios. The combination of the EUROFORGEN NAME and Precision ID Ancestry panels led to fewer ambiguous assignments, especially for individuals from the Middle East and South-Central Asia. The likelihood ratios showed that North African individuals could be separated from European and Middle Eastern individuals using the Precision ID Ancestry Panel. The separation improved with the addition of the EUROFORGEN NAME panel. The analyses also showed that the separation of Middle Eastern populations from European and South-Central Asian populations was challenging even when both panels were applied.

Autosomal ancestry informative markers (AIMs) are important markers for inferring ancestry of humans. In the present study, we typed 105 Uyghurs and 94 Kazakhs with the Precision ID Ancestry Panel that amplifies 165 autosomal AIMs. No statistically significant deviation from Hardy-Weinberg equilibrium and no linkage disequilibrium between loci was observed after Bonferroni correction. STRUCTURE and PCA analyses showed that Uyghurs and Kazakhs appeared as admixed individuals of primarily European and East Asian ancestry and were clearly differentiated from Europeans, Middle Easterners, South/Central Asians, and East Asians. However, it was not possible to differentiate the two populations from each other and they were also difficult to differentiate from Greenlanders, a population with European/Inuit admixture. GenoGeographer was used to evaluate the weight of the evidence. Initially, the results showed that the majority of AIM profiles from Uyghur and Kazakh individuals were not represented by any of the 36 reference populations of the GenoGeographer database. Consequently, it was not reasonable to infer the ancestry of these individuals. A randomly selected subset of the studied populations (75 Uyghur and 75 Kazakh individuals) was used to construct two new reference populations for GenoGeographer, and ancestry prediction was performed on the remaining test individuals. A total of 42 out of 49 test individuals were represented by at least one population after the introduction of Uyghur and Kazakh reference populations. Likelihood ratios ≥106 were obtained when the alternative hypothesis was that the individual belonged to the South/Central Asian, East Asian, Middle Eastern, European, or the admixed Greenlandic population.

Autosomal ancestry informative markers (AIMs) are important markers for inferring ancestry of humans. In the present study, we typed 105 Uyghurs and 94 Kazakhs with the Precision ID Ancestry Panel that amplifies 165 autosomal AIMs. No statistically significant deviation from Hardy-Weinberg equilibrium and no linkage disequilibrium between loci was observed after Bonferroni correction. STRUCTURE and PCA analyses showed that Uyghurs and Kazakhs appeared as admixed individuals of primarily European and East Asian ancestry and were clearly differentiated from Europeans, Middle Easterners, South/Central Asians, and East Asians. However, it was not possible to differentiate the two populations from each other and they were also difficult to differentiate from Greenlanders, a population with European/Inuit admixture. GenoGeographer was used to evaluate the weight of the evidence. Initially, the results showed that the majority of AIM profiles from Uyghur and Kazakh individuals were not represented by any of the 36 reference populations of the GenoGeographer database. Consequently, it was not reasonable to infer the ancestry of these individuals. A randomly selected subset of the studied populations (75 Uyghur and 75 Kazakh individuals) was used to construct two new reference populations for GenoGeographer, and ancestry prediction was performed on the remaining test individuals. A total of 42 out of 49 test individuals were represented by at least one population after the introduction of Uyghur and Kazakh reference populations. Likelihood ratios ≥106 were obtained when the alternative hypothesis was that the individual belonged to the South/Central Asian, East Asian, Middle Eastern, European, or the admixed Greenlandic population.

Some STR loci have internal sequence variations, which are not revealed by the standard STR typing methods used in forensic genetics (PCR and fragment length analysis by capillary electrophoresis (CE)). Typing of STRs with next-generation sequencing (NGS) uncovers the sequence variation in the repeat region and in the flanking regions. In this study, 363 Danish individuals were typed for 56 STRs (26 autosomal STRs, 24 Y-STRs, and 6 X-STRs) using the ForenSeq™ DNA Signature Prep Kit to establish a Danish STR sequence database. Increased allelic diversity was observed in 34 STRs by the PCR-NGS assay. The largest increases were found in DYS389II and D12S391, where the numbers of sequenced alleles were around four times larger than the numbers of alleles determined by repeat length alone. Thirteen SNPs and one InDel were identified in the flanking regions of 12 STRs. Furthermore, 36 single positions and five longer stretches in the STR flanking regions were found to have dubious genotyping quality. The combined match probability of the 26 autosomal STRs was 10,000 times larger using the PCR-NGS assay than by using PCR-CE. The typical paternity indices for trios and duos were 500 and 100 times larger, respectively, than those obtained with PCR-CE. The assay also amplified 94 SNPs selected for human identification. Eleven of these loci were not in Hardy-Weinberg equilibrium in the Danish population, most likely because the minimum threshold for allele calling (30 reads) in the ForenSeq™ Universal Analysis Software was too low and frequent allele dropouts were not detected.

The interest in ancestry informative markers as an investigative tool to identify the biogeographical ancestry of potential suspects is increasing. For this purpose, many different panels have been designed to distinguish individuals from major geographical regions. The EUROFORGEN North Africa and Middle East ancestry panel is a second-tier panel designed for differentiating Middle Eastern/North African populations from other population groups. An Ion AmpliSeq™ custom panel (Thermo Fisher Scientific) was designed to sequence populations of interest using the Ion S5™ (Thermo Fisher Scientific). Of the 111 SNPs selected in the first version of the panel, 107 SNPs were successfully incorporated in the AmpliSeq™ multiplex PCR. More than 600 individuals from 13 different countries in the Middle East, North Africa, and Europe were typed. The performance of the sequencing assay was assessed by calculating relative locus balances, heterozygote balances, and noise levels. Lastly, likelihood ratios were calculated using the GenoGeographer software.

A collaborative European DNA Profiling (EDNAP) Group exercise was undertaken to assess the performance of an earlier described SNaPshot™-based screening assay (denoted mini-mtSNaPshot) (Weiler et al., 2016) [1] that targets 18 single nucleotide polymorphism (SNP) positions in the mitochondrial (mt) DNA control region and allows for discrimination of major European mtDNA haplogroups. Besides the organising laboratory, 14 forensic genetics laboratories were involved in the analysis of 13 samples, which were centrally prepared and thoroughly tested prior to shipment. The samples had a variable complexity and comprised straightforward single-source samples, samples with dropout or altered peak sizing, a point heteroplasmy and two-component mixtures resulting in one to five bi-allelic calls. The overall success rate in obtaining useful results was high (97.6%) given that some of the participating laboratories had no previous experience with the typing technology and/or mtDNA analysis. The majority of the participants proceeded to haplotype inference to assess the feasibility of assigning a haplogroup and checking phylogenetic consistency when only 18 SNPs are typed. To mimic casework procedures, the participants compared the SNP typing data of all 13 samples to a set of eight mtDNA reference profiles that were described according to standard nomenclature (Parson et al., 2014) [2], and indicated whether these references matched each sample or not. Incorrect scorings were obtained for 2% of the comparisons and derived from a subset of the participants, indicating a need for training and guidelines regarding mini-mtSNaPshot data interpretation.

This review explores the key factors that influence the optimization, routine use, and profile interpretation of the SNaPshot single-base extension (SBE) system applied to forensic single-nucleotide polymorphism (SNP) genotyping. Despite being a mainly complimentary DNA genotyping technique to routine STR profiling, use of SNaPshot is an important part of the development of SNP sets for a wide range of forensic applications with these markers, from genotyping highly degraded DNA with very short amplicons to the introduction of SNPs to ascertain the ancestry and physical characteristics of an unidentified contact trace donor. However, this technology, as resourceful as it is, displays several features that depart from the usual STR genotyping far enough to demand a certain degree of expertise from the forensic analyst before tackling the complex casework on which SNaPshot application provides an advantage. In order to provide the basis for developing such expertise, we cover in this paper the most challenging aspects of the SNaPshot technology, focusing on the steps taken to design primer sets, optimize the PCR and single-base extension chemistries, and the important features of the peak patterns observed in typical forensic SNP profiles using SNaPshot. With that purpose in mind, we provide guidelines and troubleshooting for multiplex-SNaPshot-oriented primer design and the resulting capillary electrophoresis (CE) profile interpretation (covering the most commonly observed artifacts and expected departures from the ideal conditions).

A collaborative European DNA Profiling (EDNAP) Group exercise was undertaken to assess the performance of an earlier described SNaPshotTM-based screening assay (denoted mini-mtSNaPshot) (Weiler et al., 2016) [1] that targets 18 single nucleotide polymorphism (SNP) positions in the mitochondrial (mt) DNA control region and allows for discrimination of major European mtDNA haplogroups. Besides the organising laboratory, 14 forensic genetics laboratories were involved in the analysis of 13 samples, which were centrally prepared and thoroughly tested prior to shipment. The samples had a variable complexity and comprised straightforward single-source samples, samples with dropout or altered peak sizing, a point heteroplasmy and two-component mixtures resulting in one to five bi-allelic calls. The overall success rate in obtaining useful results was high (97.6%) given that some of the participating laboratories had no previous experience with the typing technology and/or mtDNA analysis. The majority of the participants proceeded to haplotype inference to assess the feasibility of assigning a haplogroup and checking phylogenetic consistency when only 18 SNPs are typed. To mimic casework procedures, the participants compared the SNP typing data of all 13 samples to a set of eight mtDNA reference profiles that were described according to standard nomenclature (Parson et al., 2014) [2], and indicated whether these references matched each sample or not. Incorrect scorings were obtained for 2% of the comparisons and derived from a subset of the participants, indicating a need for training and guidelines regarding mini-mtSNaPshot data interpretation.

Thirty autosomal insertion-deletion (InDel) polymorphisms were analyzed in four populations from Iraq, Lithuania, Slovenia, and Turkey using the commercial kit Investigator(®) DIPplex. Genotyping issues were encountered for five of the 30 InDels. They were most probably caused by polymorphisms located in the primer binding sites. Population and forensic parameters were calculated. No significant deviations from Hardy-Weinberg equilibrium or significant linkage disequilibrium were detected. The observed heterozygosities ranged from 33% to 61% depending on the marker and the population. The combined probability of exclusion for the 30 markers was 99.7% in all four populations and the matching probabilities were 1 in 3-4×10(12) individuals. The multidimensional scaling plot drawn from FST distances showed a good concordance between the relative position of the 15 populations included in the plot and their geographic locations.

The EUROFORGEN Global ancestry-informative SNP (AIM-SNPs) panel is a forensic multiplex of 128 markers designed to differentiate an individual's ancestry from amongst the five continental population groups of Africa, Europe, East Asia, Native America, and Oceania. A custom multiplex of AmpliSeq™ PCR primers was designed for the Global AIM-SNPs to perform massively parallel sequencing using the Ion PGM™ system. This study assessed individual SNP genotyping precision using the Ion PGM™, the forensic sensitivity of the multiplex using dilution series, degraded DNA plus simple mixtures, and the ancestry differentiation power of the final panel design, which required substitution of three original ancestry-informative SNPs with alternatives. Fourteen populations that had not been previously analyzed were genotyped using the custom multiplex and these studies allowed assessment of genotyping performance by comparison of data across five laboratories. Results indicate a low level of genotyping error can still occur from sequence misalignment caused by homopolymeric tracts close to the target SNP, despite careful scrutiny of candidate SNPs at the design stage. Such sequence misalignment required the exclusion of component SNP rs2080161 from the Global AIM-SNPs panel. However, the overall genotyping precision and sensitivity of this custom multiplex indicates the Ion PGM™ assay for the Global AIM-SNPs is highly suitable for forensic ancestry analysis with massively parallel sequencing.

The Illumina® ForenSeq™ kit amplifies in one multiplex PCR reaction 59 STRs and 172 SNPs relevant to forensic genetic case work. Typed markers include markers for identification, ancestry identification (AIMs) and pigmentary traits. The products were sequenced on the MiSeq FGx Forensic Genomics System and analysed with the ForenSeq™ Universal Analysis Software. Using this approach, we sequenced 10 Danish, 10 Italian, and 10 individuals from other populations, mostly non-europeans. The eye and hair colours as well as the bio-geographical ancestry of the individuals were known.Blue and brown eye colours were predicted accurately by the ForenSeq™ assay, whereas intermediate eye colours were not. The success of the hair colour prediction tool seemed population-dependent. The predictions matched the hair colours reported by the individuals themselves in twice as many Danes as Italians. The geographic ancestries of 22 out of 23 individuals of European or East Asian ancestry were correctly predicted. However, the ForenSeq™ Universal Analysis Software was unable to differentiate between individuals from Middle East/South Asia, South America and North Africa.We found no difference in STR typing results obtained with the ForenSeq™ kit and capillary electrophoresis.

The introduction of Next Generation Sequencing (NGS) techniques for forensic use has greatly expanded the possibilities of extracting information from biological stain materials in crime cases. However, the NGS workflows are not fully optimized for continuous, high-throughput processing of samples in forensic genetic laboratories. Although the Ion PGM™ has been on the market since 2010, the process of preparing samples for sequencing is still rather cumbersome and involves a large number of pipetting steps. This creates variability in the loading of the sequencing chips and in the sequencing coverage. This variability in turn complicates the interpretation of the results, i.e., low coverage leads to locus or allele dropout for poor performing markers. In order to automate a part of the sample preparation, we used the Ion Chef™ (Life Technologies) to prepare pooled Ion AmpliSeq™ libraries for emulsion PCR and loading onto sequencing chips. The workload and the number of manual pipetting steps were decreased while the chip loading efficiency, uniformity of loading and reproducibility was increased using the Ion Chef™ compared to the performance obtained with the more manual setup using the Ion OneTouch™ 2 system.

There is increasing interest in forensic ancestry tests, which are part of a growing number of DNA analyses that can enhance routine profiling by obtaining additional genetic information about unidentified DNA donors. Nearly all ancestry tests use single nucleotide polymorphisms (SNPs), but these currently rely on SNaPshot single base extension chemistry that can fail to detect mixed DNA. Insertion-deletion polymorphism (Indel) tests have been developed using dye-labeled primers that allow direct capillary electrophoresis detection of PCR products (PCR-to-CE). PCR-to-CE maintains the direct relationship between input DNA and signal strength as each marker is detected with a single dye, so mixed DNA is more reliably detected. We report the results of a collaborative inter-laboratory exercise of 19 participants (15 from the EDNAP European DNA Profiling group) that assessed a 34-plex SNP test using SNaPshot and a 46-plex Indel test using PCR-to-CE. Laboratories were asked to type five samples with different ancestries and detect an additional mixed DNA sample. Statistical inference of ancestry was made by participants using the Snipper online Bayes analysis portal plus an optional PCA module that analyzes the genotype data alongside calculation of Bayes likelihood ratios. Exercise results indicated consistent genotyping performance from both tests, reaching a particularly high level of reliability for the Indel test. SNP genotyping gave 93.5% concordance (compared to the organizing laboratory's data) that rose to 97.3% excluding one laboratory with a large number of miscalled genotypes. Indel genotyping gave a higher concordance rate of 99.8% and a reduced no-call rate compared to SNP analysis. All participants detected the mixture from their Indel peak height data and successfully assigned the correct ancestry to the other samples using Snipper, with the exception of one laboratory with SNP miscalls that incorrectly assigned ancestry of two samples and did not obtain

There is increasing interest in forensic ancestry tests, which are part of a growing number of DNA analyses that can enhance routine profiling by obtaining additional genetic information about unidentified DNA donors. Nearly all ancestry tests use single nucleotide polymorphisms (SNPs), but these currently rely on SNaPshot single base extension chemistry that can fail to detect mixed DNA. Insertion-deletion polymorphism (Indel) tests have been developed using dye-labeled primers that allow direct capillary electrophoresis detection of PCR products (PCR-to-CE). PCR-to-CE maintains the direct relationship between input DNA and signal strength as each marker is detected with a single dye, so mixed DNA is more reliably detected. We report the results of a collaborative inter-laboratory exercise of 19 participants (15 from the EDNAP European DNA Profiling group) that assessed a 34-plex SNP test using SNaPshot and a 46-plex Indel test using PCR-to-CE. Laboratories were asked to type five samples with different ancestries and detect an additional mixed DNA sample. Statistical inference of ancestry was made by participants using the Snipper online Bayes analysis portal plus an optional PCA module that analyzes the genotype data alongside calculation of Bayes likelihood ratios. Exercise results indicated consistent genotyping performance from both tests, reaching a particularly high level of reliability for the Indel test. SNP genotyping gave 93.5% concordance (compared to the organizing laboratory's data) that rose to 97.3% excluding one laboratory with a large number of miscalled genotypes. Indel genotyping gave a higher concordance rate of 99.8% and a reduced no-call rate compared to SNP analysis. All participants detected the mixture from their Indel peak height data and successfully assigned the correct ancestry to the other samples using Snipper, with the exception of one laboratory with SNP miscalls that incorrectly assigned ancestry of two samples and did not obtain

Emerging next-generation sequencing technologies will enable DNA analyses to add pigmentation predictive and ancestry informative (AIM) SNPs to the range of markers detectable from a single PCR test. This prompted us to re-appraise current forensic and genomics AIM-SNPs and from the best sets, to identify the most divergent markers for a five population group differentiation of Africans, Europeans, East Asians, Native Americans and Oceanians by using our own online genome variation browsers. We prioritized careful balancing of population differentiation across the five group comparisons in order to minimize bias when estimating co-ancestry proportions in individuals with admixed ancestries. The differentiation of European from Middle East or South Asian ancestries was not chosen as a characteristic in order to concentrate on introducing Oceanian differentiation for the first time in a forensic AIM set. We describe a complete set of 128 AIM-SNPs that have near identical population-specific divergence across five continentally defined population groups. The full set can be systematically reduced in size, while preserving the most informative markers and the balance of population-specific divergence in at least four groups. We describe subsets of 88, 55, 28, 20 and 12 AIMs, enabling both new and existing SNP genotyping technologies to exploit the best markers identified for forensic ancestry analysis.

Emerging next-generation sequencing technologies will enable DNA analyses to add pigmentation predictive and ancestry informative (AIM) SNPs to the range of markers detectable from a single PCR test. This prompted us to re-appraise current forensic and genomics AIM-SNPs and from the best sets, to identify the most divergent markers for a five population group differentiation of Africans, Europeans, East Asians, Native Americans and Oceanians by using our own online genome variation browsers. We prioritized careful balancing of population differentiation across the five group comparisons in order to minimize bias when estimating co-ancestry proportions in individuals with admixed ancestries. The differentiation of European from Middle East or South Asian ancestries was not chosen as a characteristic in order to concentrate on introducing Oceanian differentiation for the first time in a forensic AIM set. We describe a complete set of 128 AIM-SNPs that have near identical population-specific divergence across five continentally defined population groups. The full set can be systematically reduced in size, while preserving the most informative markers and the balance of population-specific divergence in at least four groups. We describe subsets of 88, 55, 28, 20 and 12 AIMs, enabling both new and existing SNP genotyping technologies to exploit the best markers identified for forensic ancestry analysis.

Emerging next-generation sequencing technologies will enable DNA analyses to add pigmentation predictive and ancestry informative (AIM) SNPs to the range of markers detectable from a single PCR test. This prompted us to re-appraise current forensic and genomics AIM-SNPs and from the best sets, to identify the most divergent markers for a five population group differentiation of Africans, Europeans, East Asians, Native Americans and Oceanians by using our own online genome variation browsers. We prioritized careful balancing of population differentiation across the five group comparisons in order to minimize bias when estimating co-ancestry proportions in individuals with admixed ancestries. The differentiation of European from Middle East or South Asian ancestries was not chosen as a characteristic in order to concentrate on introducing Oceanian differentiation for the first time in a forensic AIM set. We describe a complete set of 128 AIM-SNPs that have near identical population-specific divergence across five continentally defined population groups. The full set can be systematically reduced in size, while preserving the most informative markers and the balance of population-specific divergence in at least four groups. We describe subsets of 88, 55, 28, 20 and 12 AIMs, enabling both new and existing SNP genotyping technologies to exploit the best markers identified for forensic ancestry analysis.

Emerging next-generation sequencing technologies will enable DNA analyses to add pigmentation predictive and ancestry informative (AIM) SNPs to the range of markers detectable from a single PCR test. This prompted us to re-appraise current forensic and genomics AIM-SNPs and from the best sets, to identify the most divergent markers for a five population group differentiation of Africans, Europeans, East Asians, Native Americans and Oceanians by using our own online genome variation browsers. We prioritized careful balancing of population differentiation across the five group comparisons in order to minimize bias when estimating co-ancestry proportions in individuals with admixed ancestries. The differentiation of European from Middle East or South Asian ancestries was not chosen as a characteristic in order to concentrate on introducing Oceanian differentiation for the first time in a forensic AIM set. We describe a complete set of 128 AIM-SNPs that have near identical population-specific divergence across five continentally defined population groups. The full set can be systematically reduced in size, while preserving the most informative markers and the balance of population-specific divergence in at least four groups. We describe subsets of 88, 55, 28, 20 and 12 AIMs, enabling both new and existing SNP genotyping technologies to exploit the best markers identified for forensic ancestry analysis.

A total number of 149 individuals from Iran (Persians, Lurs and Kurds) were analyzed for 49 autosomal SNPs using PCR, SBE and capillary electrophoresis. No deviation from Hardy-Weinberg expectations was observed. One SNP pair (rs1015250-rs251934) showed significant linkage disequilibrium in Kurds. However, this was most likely due to chance. High intrapopulation variability and no significant population structure were observed among the three ethnic groups from Iran. Pairwise FST values obtained from the mean numbers of pairwise differences between SNP profiles were calculated for Persians, Lurs, Kurds and eighteen other worldwide populations. For each of the three Iranian ethnic groups, the lowest FST values calculated between an Iranian and non-Iranian populations were observed between Iranians and populations in Iraq and Turkey. The three Iranian ethnic groups grouped together with other West Asian populations in the MDS plot drawn from the FST values. Statistical parameters of forensic interest calculated for the Iranian ethnic groups showed values of the same order of magnitudes as those obtained for Asians. The mean match probability calculated for the 49 SNPs ranged from 1.7x10(-18) for Kurds to 1.3x10(-19) for Persians. Despite the low level of genetic structure observed among Persians, Lurs and Kurds, a single autosomal SNP database should be used with care when extending its forensic application to other Iranian ethnic groups.

A total number of 149 individuals from Iran (Persians, Lurs and Kurds) were analyzed for 49 autosomal SNPs using PCR, SBE and capillary electrophoresis. No deviation from Hardy-Weinberg expectations was observed. One SNP pair (rs1015250-rs251934) showed significant linkage disequilibrium in Kurds. However, this was most likely due to chance. High intrapopulation variability and no significant population structure were observed among the three ethnic groups from Iran. Pairwise FST values obtained from the mean numbers of pairwise differences between SNP profiles were calculated for Persians, Lurs, Kurds and eighteen other worldwide populations. For each of the three Iranian ethnic groups, the lowest FST values calculated between an Iranian and non-Iranian populations were observed between Iranians and populations in Iraq and Turkey. The three Iranian ethnic groups grouped together with other West Asian populations in the MDS plot drawn from the FST values. Statistical parameters of forensic interest calculated for the Iranian ethnic groups showed values of the same order of magnitudes as those obtained for Asians. The mean match probability calculated for the 49 SNPs ranged from 1.7x10(-18) for Kurds to 1.3x10(-19) for Persians. Despite the low level of genetic structure observed among Persians, Lurs and Kurds, a single autosomal SNP database should be used with care when extending its forensic application to other Iranian ethnic groups.

The GenPlex(TM) HID System (Applied Biosystems - AB) offers typing of 48 of the 52 SNPforID SNPs and amelogenin. Previous studies have shown a high reproducibility of the GenPlex(TM) HID System using 250-500 pg DNA of good quality. An international exercise was performed by 14 laboratories (9 in Europe and 5 in the US) in order to test the robustness and reliability of the GenPlex(TM) HID System on forensic samples. Three samples with partly degraded DNA and 10 samples with low amounts of DNA were analyzed in duplicates using various amounts of DNA. In order to compare the performance of the GenPlex(TM) HID System with the most commonly used STR kits, 500 pg of partly degraded DNA from three samples was typed by the laboratories using one or more STR kits. The median SNP typing success rate was 92.3% with 500 pg of partly degraded DNA. Three of the fourteen laboratories counted for more than two thirds of the locus dropouts. The median percentage of discrepant results was 0.2% with 500 pg degraded DNA. An increasing percentage of locus dropouts and discrepant results were observed when lower amounts of DNA were used. Different success rates were observed for the various SNPs. The rs763869 SNP was the least successful. With the exception of the MiniFiler(TM) kit (AB), GenPlex(TM) HID performed better than five other tested STR kits. When partly degraded DNA was analyzed, GenPlex(TM) HID showed a very low mean mach probability, while all STR kits except MiniFiler(TM) had very limited discriminatory power.

The GenPlex(TM) HID System (Applied Biosystems - AB) offers typing of 48 of the 52 SNPforID SNPs and amelogenin. Previous studies have shown a high reproducibility of the GenPlex(TM) HID System using 250-500 pg DNA of good quality. An international exercise was performed by 14 laboratories (9 in Europe and 5 in the US) in order to test the robustness and reliability of the GenPlex(TM) HID System on forensic samples. Three samples with partly degraded DNA and 10 samples with low amounts of DNA were analyzed in duplicates using various amounts of DNA. In order to compare the performance of the GenPlex(TM) HID System with the most commonly used STR kits, 500 pg of partly degraded DNA from three samples was typed by the laboratories using one or more STR kits. The median SNP typing success rate was 92.3% with 500 pg of partly degraded DNA. Three of the fourteen laboratories counted for more than two thirds of the locus dropouts. The median percentage of discrepant results was 0.2% with 500 pg degraded DNA. An increasing percentage of locus dropouts and discrepant results were observed when lower amounts of DNA were used. Different success rates were observed for the various SNPs. The rs763869 SNP was the least successful. With the exception of the MiniFiler(TM) kit (AB), GenPlex(TM) HID performed better than five other tested STR kits. When partly degraded DNA was analyzed, GenPlex(TM) HID showed a very low mean mach probability, while all STR kits except MiniFiler(TM) had very limited discriminatory power.

The GenPlex(TM) HID System (Applied Biosystems - AB) offers typing of 48 of the 52 SNPforID SNPs and amelogenin. Previous studies have shown a high reproducibility of the GenPlex(TM) HID System using 250-500 pg DNA of good quality. An international exercise was performed by 14 laboratories (9 in Europe and 5 in the US) in order to test the robustness and reliability of the GenPlex(TM) HID System on forensic samples. Three samples with partly degraded DNA and 10 samples with low amounts of DNA were analyzed in duplicates using various amounts of DNA. In order to compare the performance of the GenPlex(TM) HID System with the most commonly used STR kits, 500 pg of partly degraded DNA from three samples was typed by the laboratories using one or more STR kits. The median SNP typing success rate was 92.3% with 500 pg of partly degraded DNA. Three of the fourteen laboratories counted for more than two thirds of the locus dropouts. The median percentage of discrepant results was 0.2% with 500 pg degraded DNA. An increasing percentage of locus dropouts and discrepant results were observed when lower amounts of DNA were used. Different success rates were observed for the various SNPs. The rs763869 SNP was the least successful. With the exception of the MiniFiler(TM) kit (AB), GenPlex(TM) HID performed better than five other tested STR kits. When partly degraded DNA was analyzed, GenPlex(TM) HID showed a very low mean mach probability, while all STR kits except MiniFiler(TM) had very limited discriminatory power.

The GenPlex(TM) HID System (Applied Biosystems - AB) offers typing of 48 of the 52 SNPforID SNPs and amelogenin. Previous studies have shown a high reproducibility of the GenPlex(TM) HID System using 250-500 pg DNA of good quality. An international exercise was performed by 14 laboratories (9 in Europe and 5 in the US) in order to test the robustness and reliability of the GenPlex(TM) HID System on forensic samples. Three samples with partly degraded DNA and 10 samples with low amounts of DNA were analyzed in duplicates using various amounts of DNA. In order to compare the performance of the GenPlex(TM) HID System with the most commonly used STR kits, 500 pg of partly degraded DNA from three samples was typed by the laboratories using one or more STR kits. The median SNP typing success rate was 92.3% with 500 pg of partly degraded DNA. Three of the fourteen laboratories counted for more than two thirds of the locus dropouts. The median percentage of discrepant results was 0.2% with 500 pg degraded DNA. An increasing percentage of locus dropouts and discrepant results were observed when lower amounts of DNA were used. Different success rates were observed for the various SNPs. The rs763869 SNP was the least successful. With the exception of the MiniFiler(TM) kit (AB), GenPlex(TM) HID performed better than five other tested STR kits. When partly degraded DNA was analyzed, GenPlex(TM) HID showed a very low mean mach probability, while all STR kits except MiniFiler(TM) had very limited discriminatory power.

The GenPlex(TM) HID System (Applied Biosystems - AB) offers typing of 48 of the 52 SNPforID SNPs and amelogenin. Previous studies have shown a high reproducibility of the GenPlex(TM) HID System using 250-500 pg DNA of good quality. An international exercise was performed by 14 laboratories (9 in Europe and 5 in the US) in order to test the robustness and reliability of the GenPlex(TM) HID System on forensic samples. Three samples with partly degraded DNA and 10 samples with low amounts of DNA were analyzed in duplicates using various amounts of DNA. In order to compare the performance of the GenPlex(TM) HID System with the most commonly used STR kits, 500 pg of partly degraded DNA from three samples was typed by the laboratories using one or more STR kits. The median SNP typing success rate was 92.3% with 500 pg of partly degraded DNA. Three of the fourteen laboratories counted for more than two thirds of the locus dropouts. The median percentage of discrepant results was 0.2% with 500 pg degraded DNA. An increasing percentage of locus dropouts and discrepant results were observed when lower amounts of DNA were used. Different success rates were observed for the various SNPs. The rs763869 SNP was the least successful. With the exception of the MiniFiler(TM) kit (AB), GenPlex(TM) HID performed better than five other tested STR kits. When partly degraded DNA was analyzed, GenPlex(TM) HID showed a very low mean mach probability, while all STR kits except MiniFiler(TM) had very limited discriminatory power.

X-chromosome markers may complement the results obtained from other genetic markers in complex relationship cases. Until now, reports on relationship testing using X-chromosome markers have mainly included data of short tandem repeats (STRs) while little data on single nucleotide polymorphisms (SNPs) in relationship testing have been published. We selected 25 highly polymorphic biallelic SNPs distributed through the human X-chromosome. One 25-plex PCR reaction and one 25-plex single base extension (SNaPshot) reaction were developed. The maximum size of the PCR products was 120ábp and the size of the SBE primers varied between 18 and 85 nucleotides. We analyzed the allele and haplotype frequencies in 1078 unrelated males. All the SNPs were polymorphic and the lowest minor allele frequency was 0.103. All the haplotypes were unique. The forensic parameters were calculated in the Danish and Somali populations. In the Danish population (Ná=á93), the power of discrimination (PD) in females was one in 4.4áÎá109 individuals and the PD in males was one in 2.6áÎá106. The PD in Somalis (Ná=á91) was one in 2.7áÎá109 in females and one in 1.7áÎá106 in males. Finally, we present an example of how the 25 X-chromosome SNP-multiplex may help to solve a complex immigration case

Udgivelsesdato: 2008-Jun, We report the results of an inter-laboratory exercise on typing of autosomal single nucleotide polymorphisms (SNP) for forensic genetic investigations in crime cases. The European DNA Profiling Group (EDNAP), a working group under the International Society for Forensic Genetics (ISFG), organised the exercise. A total of 11 European and one US forensic genetic laboratories tested a subset of a 52 SNP-multiplex PCR kit developed by the SNPforID consortium. The 52 SNP-multiplex kit amplifies 52 DNA fragments with 52 autosomal SNP loci in one multiplex PCR. The 52 SNPs are detected in two separate single base extension (SBE) multiplex reactions with 29 and 23 SNPs, respectively, using SNaPshot kit, capillary electrophoresis and multicolour fluorescence detection. For practical reasons, only the 29 SBE multiplex reaction was carried out by the participating laboratories. A total of 11 bloodstains on FTA cards including a sample of poor quality and a negative control were sent to the laboratories together with the essential reagents for the initial multiplex PCR and the multiplex SBE reaction. The total SNP locus dropout rate was 2.8% and more than 50% of the dropouts were observed with the poor quality sample. The overall rate of discrepant SNP allele assignments was 2.0%. Two laboratories reported 60% of all the discrepancies. Two laboratories reported all 29 SNP alleles in all 10 positive samples correctly. The results of the collaborative exercise were surprisingly good and demonstrate that SNP typing with SBE, capillary electrophoresis and multicolour detection methods can be developed for forensic genetics.

Udgivelsesdato: 2008-Jun, We report the results of an inter-laboratory exercise on typing of autosomal single nucleotide polymorphisms (SNP) for forensic genetic investigations in crime cases. The European DNA Profiling Group (EDNAP), a working group under the International Society for Forensic Genetics (ISFG), organised the exercise. A total of 11 European and one US forensic genetic laboratories tested a subset of a 52 SNP-multiplex PCR kit developed by the SNPforID consortium. The 52 SNP-multiplex kit amplifies 52 DNA fragments with 52 autosomal SNP loci in one multiplex PCR. The 52 SNPs are detected in two separate single base extension (SBE) multiplex reactions with 29 and 23 SNPs, respectively, using SNaPshot kit, capillary electrophoresis and multicolour fluorescence detection. For practical reasons, only the 29 SBE multiplex reaction was carried out by the participating laboratories. A total of 11 bloodstains on FTA cards including a sample of poor quality and a negative control were sent to the laboratories together with the essential reagents for the initial multiplex PCR and the multiplex SBE reaction. The total SNP locus dropout rate was 2.8% and more than 50% of the dropouts were observed with the poor quality sample. The overall rate of discrepant SNP allele assignments was 2.0%. Two laboratories reported 60% of all the discrepancies. Two laboratories reported all 29 SNP alleles in all 10 positive samples correctly. The results of the collaborative exercise were surprisingly good and demonstrate that SNP typing with SBE, capillary electrophoresis and multicolour detection methods can be developed for forensic genetics.

X-chromosome markers may complement the results obtained from other genetic markers in complex relationship cases. Until now, reports on relationship testing using X-chromosome markers have mainly included data of short tandem repeats (STRs) while little data on single nucleotide polymorphisms (SNPs) in relationship testing have been published. We selected 25 highly polymorphic biallelic SNPs distributed through the human X-chromosome. One 25-plex PCR reaction and one 25-plex single base extension (SNaPshot) reaction were developed. The maximum size of the PCR products was 120ábp and the size of the SBE primers varied between 18 and 85 nucleotides. We analyzed the allele and haplotype frequencies in 1078 unrelated males. All the SNPs were polymorphic and the lowest minor allele frequency was 0.103. All the haplotypes were unique. The forensic parameters were calculated in the Danish and Somali populations. In the Danish population (Ná=á93), the power of discrimination (PD) in females was one in 4.4áÎá109 individuals and the PD in males was one in 2.6áÎá106. The PD in Somalis (Ná=á91) was one in 2.7áÎá109 in females and one in 1.7áÎá106 in males. Finally, we present an example of how the 25 X-chromosome SNP-multiplex may help to solve a complex immigration case

Long-term control of perennial weeds create a challenge in organic farming, especially in ar-able farming. Perennial weeds are most often controlled by tillage, often stubble tillage after harvest of cereals or short-term tillage during the summer (Melander et al., 2005). Tillage leads to increased leaching of nutrients (Askegaard et al., 2005), which is unacceptable for the environment and in turn renders the succeeding crop less competitive compared to the peren-nial weeds – thus initiating a vicious circle.

Long-term control of perennial weeds create a challenge in organic farming, especially in ar-able farming. Perennial weeds are most often controlled by tillage, often stubble tillage after harvest of cereals or short-term tillage during the summer (Melander et al., 2005). Tillage leads to increased leaching of nutrients (Askegaard et al., 2005), which is unacceptable for the environment and in turn renders the succeeding crop less competitive compared to the peren-nial weeds – thus initiating a vicious circle.

Long-term control of perennial weeds create a challenge in organic farming, especially in ar-able farming. Perennial weeds are most often controlled by tillage, often stubble tillage after harvest of cereals or short-term tillage during the summer (Melander et al., 2005). Tillage leads to increased leaching of nutrients (Askegaard et al., 2005), which is unacceptable for the environment and in turn renders the succeeding crop less competitive compared to the peren-nial weeds – thus initiating a vicious circle.

Long-term control of perennial weeds create a challenge in organic farming, especially in ar-able farming. Perennial weeds are most often controlled by tillage, often stubble tillage after harvest of cereals or short-term tillage during the summer (Melander et al., 2005). Tillage leads to increased leaching of nutrients (Askegaard et al., 2005), which is unacceptable for the environment and in turn renders the succeeding crop less competitive compared to the peren-nial weeds – thus initiating a vicious circle.

Long-term control of perennial weeds create a challenge in organic farming, especially in ar-able farming. Perennial weeds are most often controlled by tillage, often stubble tillage after harvest of cereals or short-term tillage during the summer (Melander et al., 2005). Tillage leads to increased leaching of nutrients (Askegaard et al., 2005), which is unacceptable for the environment and in turn renders the succeeding crop less competitive compared to the peren-nial weeds – thus initiating a vicious circle.