Combined analysis of two different ancestry informative assays using SNPs and Indels in Eurasian populations

In the absence of a suspect or DNA database match, small multiplex assays with ancestry informative markers (AIMs) provide an alternative to comparative DNA analysis as the knowledge of an unknown stain donor's biogeographic ancestry can be helpful in guiding criminal investigations. AIMs can provide valuable information in such cases. The research focus for AIMs has been on multiplex assays of single nucleotide polymorphisms (SNPs) and insertion/deletion polymorphisms (Indels). This work presents a combined analysis of two different AIM assays to increase differentiation between Eurasian populations.     

A classifier for the SNP-based inference of ancestry

Ancestral inference from DNA could serve as an important adjunct for both standard and future human identity testing procedures. However, current STR methods for the inference of ancestral affiliation have inherent statistical and technical limitations. In an effort to identify bi-allelic markers that can be used to infer ancestral affiliation from DNA, we screened 211 SNPs in the human pigmentation and xenobiotic metabolism genes. Allele frequencies of 56 SNPs (most from pigmentation genes) were dramatically different between groups of unrelated individuals of Asian, African, and European descent, and both observed and simulated log likelihood ratios revealed that the markers were of exceptional value for ancestral inference. Log likelihood ratios of the multilocus estimates of biological ancestry (EAE/EBA) ranged from 7 to 10, which are on par with the best of the STR batteries yet described. A linear classification method was developed for incorporating these SNPs into a classifier model that was 99, 98, and 100% accurate for identifying individuals of European, African, and Asian descent, respectively. The methods and markers we describe are therefore an important first step for the development of a practical multiplex test for the inference of ancestry in a forensics setting.     

Inference of human geographic origins using Alu insertion polymorphisms

The inference of an individual's geographic ancestry or origin can be critical in narrowing the field of potential suspects in a criminal investigation. Most current technologies rely on single nucleotide polymorphism (SNP) genotypes to accomplish this task. However, SNPs can introduce homoplasy into an analysis since they can be identical-by-state. We introduce the use of insertion polymorphisms based on short interspersed elements (SINEs) as a potential alternative to SNPs. SINE polymorphisms are identical-by-descent, essentially homoplasy-free, and inexpensive to genotype using a variety of approaches. Herein, we present results of a blind study using 100 Alu insertion polymorphisms to infer the geographic ancestry of 18 unknown individuals from a variety of geographic locations. Using a Structure analysis of the Alu insertion polymorphism-based genotypes, we were able to correctly infer the geographic affiliation of all 18 unknown human individuals with high levels of confidence. This technique to infer the geographic affiliation of unknown human DNA samples will be a useful tool in forensic genomics.     

The SNPforID 34-plex—Its ability to infer level of admixture in individuals

Forensic scientists use genetic individualization markers to include or exclude persons of interest in investigations. However, when there are no suspects due to absence of database matches or eye-witness information, prediction of biogeographical ancestry can be a valuable investigative tool. The SNPforID 34-plex uses 34 autosomal markers to predict ancestry from three geographic regions, Africa, Europe and East Asia. However, its ability to identify levels of admixture within individuals is unclear. We tested the 34-plex assay in 56 individuals from 15 families with varying levels of self-declared Asian/European admixed ancestry. STRUCTURE 2.3.4 was used for population structure analysis and cluster information provided inferences on levels of admixture. Chi-square tests were performed to evaluate the ability of the SNPforID 34-plex to predict level of admixture. The average/SD Asian and European contribution for individuals self-declared as first generation since admixture was 0.46/0.13 and 0.54/0.13, respectively. As expected, the average European contribution increased for individuals of 1/4, 1/8 and 1/16 Asian/European ancestries – 0.78/0.13, 0.89/0.05 and 0.91/0.03, respectively. There were no significant differences between observed and expected average contribution from each ancestry. However, individual outliers were observed, which could have been misclassified if analyzed separately. These results suggest the 34-plex can be a reliable tool to predict levels of admixture; however caution is required when an individual sample is investigated. A larger number of markers, combined with increased sample sizes comprising varying levels of admixture of different biogeographical ancestries, are required to enhance the ability to predict an individual's level of biogeographical ancestry.     

27个常染色体AIM-SNP的筛选和验证

目的构建27个常染色体AIM-SNP组合用于未知个体种族来源推断。方法通过对Hap Map数据库中描述祖先遗传信息标记的908个AIMs位点(非洲、欧洲、东亚人群)筛选,选出27个AIMs位点组合,利用相关软件同时与数据库908个AIMs不同子集合的分析进行对比,验证其推断祖先来源的可行性。结果应用本研究27个AIMs的SNP多态性分析方法可以正确推断未知样品祖先起源,估算祖先成分比例。结论本研究建立的常染色体27个AIMs的SNP多态性分析方法可准确推断来自于欧洲、非洲、东亚3大祖先血统个体的祖先来源,是SNP多态性分析用于个体种族来源推断的一种有效方法,在法医实践中可以用于DNA检验中未知DNA供者洲际人群祖先来源推断。     

Additional predictions for forensic DNA phenotyping of externally visible characteristics using the ForenSeq and Imagen kits

Multiplex DNA typing methods using massively parallel sequencing can be used to predict externally visible characteristics (EVCs) in forensic DNA phenotyping through the analysis of single-nucleotide polymorphisms. The focus of EVC determination has focused on hair color, eye color, and skin tone as well as visible biogeographical ancestry features. In this study, we researched off-label applications beyond what is currently marketed by the manufacturer of the Verogen ForenSeq kit primer set B and Imagen primer set E SNP loci. We investigated additional EVC predictions by examining published genome wide sequencing studies and reported allele-specific gene expression and predictive values. We have identified 15 SNPs included in the ForenSeq kit panel and Imagen kits that have additional EVC prediction capabilities beyond what is published in the Verogen manuals. The additional EVCs that can be predicted include hair graying, ephelides hyperpigmented spots, dermatoheliosis, facial pigmented spots, standing height, pattern balding, helix-rolling ear morphology, hair shape, hair thickness, facial morphology, eyebrow thickness, sarcoidosis, obesity, vitiligo, and tanning propensity. The loci can be used to augment and refine phenotype predictions with software such as MetaHuman for missing persons, cold case, and historic case investigations.     

Quantification of Maxillary Dental Arcade Curvature and the Estimation of Biological Ancestry in Forensic Anthropology

Previous studies suggest that palate shape is a useful indicator of biological ancestry in human remains. This study evaluates interobserver error in ancestry estimation using palate shape and explores palate shape variation in Gullah (descendants of West Africans) and Seminole (Indigenous American) population samples using geometric morphometric analysis. Ten participants were asked to ascribe biological ancestry and shape to 28 dental casts based on a classification scheme employed in previous studies. The mean correct classification was 42.0%, indicating that the likelihood of assigning the correct ancestry is very poor and not significantly different from random assignment (p = 0.12). The accuracy analysis based on categorical classification of the casts was complemented by geometric morphometric analysis of nine 3D landmarks reflecting palate shape of 158 casts. Principal component analysis results show no difference between populations regarding palate shape, and cross‐validated discriminant function analysis correctly classified only 62.0% of the specimens. Combined, these results show that previous methods to estimate ancestry are inaccurate and that this inaccuracy is probably due to a lack of palate shape differences between groups, rather than limitation of the analytical method per se. Therefore, we recommend caution should be used when choosing to apply the analysis of palate shape in forensically relevant contexts.     

Population data for 94 identity SNPs in four U.S. population groups

The U.S. National Institute of Standards and Technology (NIST) sequenced 1036 human DNA samples from four United States population groups (African American, Asian, Hispanic, and Caucasian) using the ForenSeq DNA Signature Prep Kit with Primer Mix B (DPMB) on a MiSeq FGx instrument. In addition to STR markers, DPMB includes amplification primers for single nucleotide polymorphisms (SNPs) used for individual identification (iiSNPs, n = 94), ancestry inference (aiSNPs, n = 56), and phenotype prediction (piSNPs, n = 22). Resulting sequencing coverage information was interpreted for the 94 iiSNP markers. Here we present performance characteristics of the ForenSeq DNA Signature Prep Kit in the population studied.     

人类DRB基因单核苷酸多态性研究

目的建立一种对单核苷酸多态性(SNPs)位点进行复合检测的方法,并对人类DRB基因的单核苷酸多态性进行研究。方法 应用荧光标记双脱氧核苷酸进行单碱基延伸反应,同步检测人类DRB基因10个单核苷酸多态性位点。结果 应用该方法检验了人类标准细胞株K562、9947A及其他法医学常见生物检材,包括血斑2份、精斑5份、烟蒂8份、毛发3份,各样品间未发现相同的单核苷酸多态性组合单倍型。DNA模板需要量仅为0.5~1.0ng。结论 该方法是对微量生物物证进行个体识别鉴定的理想方法。同时还可为法医学及其他研究领域进行单核苷酸多态性分析提供快速、高效的技术手段。     

Next generation sequencing technology in Second World War victim identification

The killings during the Second World War (WWII), with nearly 100,000 victims, is one of the greatest losses of life in Slovenia’s modern history and most of the victims are still buried in hidden mass graves and remain unidentified. Identity, ancestry, and phenotypic SNPs, as well as STR markers are already used for solving various cases with Next Generation Sequencing (NGS) technology. In this study, the Precision ID GlobalFiler NGS STR panel was used to identify the WWII victim that could not be identified with capillary electrophoresis (CE) analyses because limited statistical support was obtained after amplification of autosomal STRs using CE STR kits. Bones and teeth were analysed and compared to family references (nephew and niece on paternal line). Prior to DNA isolation 0.5 g of powder was decalcified. The DNA was purified in a Biorobot EZ1 device. The nuclear DNA of the samples was quantified with the PowerQuant kit. Because the recommended posterior probability (PP) of 99.9% was followed with the goal of high confidence of correct identification, the NGS STR Panel was used, and after the analysis of additional STR loci the statistical calculation showed a PP of 99.99986%, showing that a large enough number of genetic markers were analysed when identifying the skeletal remains of the aunt. PP value endorsed the hypothesis that the tooth and bone samples were from individual related to the family references rather than from unrelated individual. In presented case, NGS technology proved to be a powerful tool for increasing the number of autosomal STRs needed for identification of WWII victims when linear markers cannot be used for comparison and only distant relatives are available for analyses.     

Evaluating the Accuracy of Cranial Indices in Ancestry Estimation Among South African Groups

Historically, population differences were quantified using cranial indices. Even though the application of indices is associated with numerous statistical and methodological problems, the use of cranial indices to estimate ancestry persists as demonstrated by its inclusion in several recent papers and conference presentations. The purpose of this study was to classify 207 South African crania and compare the results of five standard cranial indices to linear discriminant analysis (LDA). New sectioning points were created to contend with low classification accuracies (40–79%) and possible secular trends. Although the accuracies of the new sectioning points increased (66–87%), the accuracies associated with the stepwise LDA were higher (84%) and could classify the crania into one of the three South African groups. The results of the study demonstrate that indices cannot compete with multivariate techniques and should not be used in forensic anthropological analyses for ancestry estimation.     

SNPs and MALDI-TOF MS: tools for DNA typing in forensic paternity testing and anthropology

DNA markers used for individual identification in forensic sciences are based on repeat sequences in nuclear DNA and the mitochondrial DNA hypervariable regions 1 and 2. An alternative to these markers is the use of single nucleotide polymorphisms (SNPs). These have a particular advantage in the analysis of degraded or poor samples, which are often all that is available in forensics or anthropology. In order to study the potential of SNP analysis in these fields, 41 SNPs were selected on the basis of following criteria: conservation, lack of phenotypic expression, and frequency of occurrence in populations. Thirty-six autosomal SNPs were used for genotyping 21 inclusionary and 3 exclusionary paternity cases. The behavior of 5 X-chromosome SNPs was analyzed in a French representative population. Our approach to SNP typing is a multiplex PCR based amplification followed by simultaneous detection by primer extension (PEX) analyzed by Matrix Assisted Laser Desorption Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS). The selected autosomal SNPs showed independent inheritance and gave clear results in paternity investigation. All X-SNPs were useful as both paternity and identification markers. PEX and MALDI-TOF MS, with their high sensitivity, precision and speed, gave a powerful method for forensic and anthropological exploitation of biallelic markers.     

Analysis of an ancestry using cremated old human remains from the Korean War victims

Analysis of DNA from burnt bone fragment is the very hard work for the human identification in forensic casework. In general, cremated bone with an artificial damage is more difficult to get an intact DNA than a singed one because of the chemical and biological drastic changes such as protein denaturation and destruction. In this study, we pursue the best technical approach for the minimal damage and the contamination of DNA from other factors in the preconditioning and the extraction process based on over 70 years old Korean War victim skeletal that was burnt and buried in Korean Peninsula. First of all, we removed the pollutant and the dust from the burnt bones using dental instruments, and then incubated with EDTA buffer at 25 ℃ to remove inhibitors such as calcium and mineral. In order to compare the DNA preservation ability between a pellet and a supernatant, samples are repeatedly tested to collect washed EDTA buffer several times to separate. Each of isolated materials is secondly cleaned with the organic extraction method using phenol and analyzed mtDNA sequence with the in-house method for the ancestry assay. The better discrimination ability was appeared in the supernatant than the pellet. Nevertheless, many of the forensic geneticists use a powdering method for getting more DNA, we applied EDTA buffer in the preconditioning step to eliminate every contamination. As a result, the contamination factor was efficiently removed and the ancestry was estimated as per the written information. Consequently, cremated bone is identified to belong in the D4 mtDNA haplogroup which is commonly reported in ethnic groups in Asia especially Korea. This is a preliminary study of a human identification over an ancestry analysis to give information against a mass disaster in a future. Through a higher process optimization and better analytical methods toward more remains, which are genetically difficult to analyze, will support to examine the identity of the post cremated remains.     

An assessment of Bayesian and multinomial logistic regression classification systems to analyse admixed individuals

Multinomial logistic regression (MLR) has been applied to the prediction of hair and eye colour. Here we apply it to the prediction of biogeographical ancestry (BGA) in a test set of 1092 admixed and non-admixed genotypes from the 1000 Genomes Project using a training set of 571 non-admixed genotypes from the HGDP CEPH cell line panel. Predicted BGAs are consistent with those of Structure, a naïve Bayesian classifier.     

Inferring ancestral origin using a single multiplex assay of ancestry-informative marker SNPs

Tests that infer the ancestral origin of a DNA sample have considerable potential in the development of forensic tools that can help to guide crime investigation. We have developed a single-tube 34-plex SNP assay for the assignment of ancestral origin by choosing ancestry-informative markers (AIMs) exhibiting highly contrasting allele frequency distributions between the three major population-groups. To predict ancestral origin from the profiles obtained, a classification algorithm was developed based on maximum likelihood. Sampling of two populations each from African, European and East Asian groups provided training sets for the algorithm and this was tested using the CEPH Human Genome Diversity Panel. We detected negligible theoretical and practical error for assignments to one of the three groups analyzed with consistently high classification probabilities, even when using reduced subsets of SNPs. This study shows that by choosing SNPs exhibiting marked allele frequency differences between population-groups a practical forensic test for assigning the most likely ancestry can be achieved from a single multiplexed assay.     

Evaluation of 96 SNPs in 14 populations for worldwide individual identification

Great advances have been made recently in searching for individual identification single-nucleotide polymorphisms (IISNPs or IDSNPs). Such SNPs as suggested by SNPforID scientists and by Pakstis et al., are promising, although they were selected from older or smaller databases rather than the most recent database. Here, we describe a new computational strategy for developing IDSNPs based on HapMap. We searched through HapMap r27 for SNPs having minor allele frequencies ≥0.30 in all its 11 populations and found more than 1881 qualified SNPs. We examined 96 of them with 183 DNA samples from three Chinese populations using Illumina arrays. The average allele frequency for these 96 SNPs among the three populations was 0.495/0.505, the average number of identical SNP genotypes shared by two individuals among the 14 populations (three Chinese and 11 HapMap) was 37.9, and the random matching probability for two unrelated Hans to match in all 96 genotypes was 9.793 × 10(-39). Thus, most of these 96 SNPs are universally applicable.     

A standard procedure for accommodating forensic anthropological and genetic analysis of decomposing human remains from tropical climates

At the Medical Legal Center in Ribeirão Preto, Brazil (CEMEL/FMRP-USP), unidentified decomposing bodies routinely undergo soft tissue removal (by immersion in water at 80–90 °C for 24 h) prior to an anthropological analysis intended to yield a biological profile of age, sex, ancestry, height, pathology and so on. In the event that this analysis is unsuccessful, samples may be submitted for DNA profiling. The tropical climate and the defleshing process may confound preservation, recovery and analysis of DNA, however. In order to establish an optimal standardized protocol for identification of decomposing human remains from a tropical climatic region, the outcome of anthropological and genetic analyses was compared, along with the utility of bone (mainly femur and sternum) and teeth (mainly molar) specimens for DNA analysis. In a sample (n = 39) of partially skeletonized remains, anthropological analysis was sufficient for identification in eight cases. In further six cases, DNA profiling was successfully attempted. As a consequence of our study, we recommend collection of 1–2 well preserved teeth prior to defleshing and anthropological analysis in these circumstances.     

Tri-allelic SNP markers enable analysis of mixed and degraded DNA samples

For the analysis of degraded DNA in disaster victim identification (DVI) and criminal investigations, single nucleotide polymorphisms (SNPs) have been recognized as promising markers mainly because they can be analyzed in short sized amplicons. Most SNPs are bi-allelic and are thereby ineffective to detect mixtures, which may lead to incorrect genotyping. We developed an algorithm to find non-binary (i.e. tri-allelic or tetra-allelic) SNPs in the NCBI dbSNP database. We selected 31 potential tri-allelic SNPs with a minor allele frequency of at least 10%. The tri-allelic nature was confirmed for 15 SNPs residing on 14 different chromosomes. Multiplex SNaPshot™ assays were developed, and the allele frequencies of 16 SNPs were determined among 153 Dutch and 111 Netherlands Antilles reference samples. Using these multiplex SNP assays, the presence of a mixture of two DNA samples in a ratio up to 1:8 could be recognized reliably. Furthermore, we compared the genotyping efficiency of the tri-allelic SNP markers and short tandem repeat (STR) markers by analyzing artificially degraded DNA and DNA from 30 approximately 500-year-old bone and molar samples. In both types of degraded DNA samples, the larger sized STR amplicons failed to amplify whereas the tri-allelic SNP markers still provided valuable information. In conclusion, tri-allelic SNP markers are suited for the analysis of degraded DNA and enable the detection of a second DNA source in a sample.     

A Test of Sex Estimation in Subadults Using the Elevation of the Auricular Surface from Four Samples of Known Age and Sex

Biological sex is foundational to the work of forensic anthropologists and bioarcheologists. The lack of reliable biological sex estimation methods for subadults has, thus, greatly limited forensic and bioarcheological analyses. Auricular surface elevation showed promise as a subadult sex estimation method in previous studies. This study examined two auricular surface elevation evaluation methods on four subadult samples of known age, sex, and ancestry. Samples were scored as “male,” “female,” or “indeterminate” and results were examined with chi‐square analysis. No consistent sex estimation pattern, accuracy, or predictive value was produced between samples. Only one test was significant using Fisher's exact test analysis (FET = 7.501, p < 0.022): the composite approach on the Hamann‐Todd sample. While age, sample size, or developmental factors may play a role in these results, clearly sample variation does as well. This study found auricular surface elevation was not a useful subadult sex estimation method.