Ancestry analysis using a self-developed 56 AIM-InDel loci and machine learning methods.

Insertion/deletion (InDel) polymorphisms can be used as one of the ancestry-informative markers in ancestry analysis. In this study, a self-developed panel consisting of 56 ancestry-informative InDels was used to investigate the genetic structures and genetic relationships between Chinese Inner Mongolia Manchu group and 26 reference populations. The Inner Mongolia Manchu group was closely related in genetic background to East Asian populations, especially the Han Chinese in Beijing. Moreover, populations from northern and southern East Asia displayed obvious variations in ancestral components, suggesting the potential value of this panel in distinguishing the populations from northern and southern East Asia. Subsequently, four machine learning models were performed based on the 56 AIM-InDel loci to evaluate the performance of this panel in ancestry prediction. The random forest model presented better performance in ancestry prediction, with 91.87% and 99.73% accuracy for the five and three continental populations, respectively. The individuals of the Inner Mongolia Manchu group were assigned to the East Asian populations by the random forest model, and they exhibited closer genetic affinities with northern East Asian populations. Furthermore, the random forest model distinguished 87.18% of the Inner Mongolia Manchus from the East Asian populations, suggesting that the random forest model based on the 56 ancestry-informative InDels could be a potential tool for ancestry analysis.

Developmental validation of a custom-designed Multi-InDel panel: A five-dye multiplex amplification system for challenging DNA samples.

The continual investigation of novel genetic markers has yielded promising solutions for addressing the challenges encountered in forensic DNA analysis. In this study, we have introduced a custom-designed panel capable of simultaneously amplifying 41 novel Multi-insertion/deletion (Multi-InDel) markers and an amelogenin locus using the capillary electrophoresis platform. Through a developmental validation study conducted in accordance with guidelines recommended by the Scientific Working Group on DNA Analysis Methods, we demonstrated that the new Multi-InDel system exhibited the sensitivity to produce reliable genotyping profiles with as little as 62.5 pg of template DNA. Accurate and complete genotyping profiles could be obtained even in the presence of specific concentrations of PCR inhibitors. Furthermore, the maximum amplicon size for this system was limited to under 220 bp in the genotyping profile, resulting in its superior efficiency compared to commercially available short tandem repeat kits for both naturally and artificially degraded samples. In the context of mixed DNA analysis, the Multi-InDel system was proved informative in the identification of two-person DNA mixture, even when the template DNA of the minor contributor was as low as 50 pg. In conclusion, a series of performance evaluation studies have provided compelling evidence that the new Multi-InDel system holds promise as a valuable tool for forensic DNA analysis.

Forensic Characterization and Genetic Portrait of the Gannan Tibetan Ethnic Group via 165 AI-SNP Loci.

BACKGROUND: The Tibetan group is one of the oldest Sino-Tibetan ethnic groups. The origin, migration as well as the genetic background of Tibetans have become the research hotspots in the field of forensic genetics. The use of ancestry informative markers (AIMs) allows the investigation of the genetic background of the Gannan Tibetan group. METHODS: In this study, the 165 ancestry informative single nucleotide polymorphism (AI-SNP) loci included in the Precision ID Ancestry Panel were used to genotype 101 Gannan Tibetans using the Ion S5 XL system. The forensic statistical parameters of 165 AI-SNP in the Gannan Tibetan group were calculated. Population genetic analyses including Nei's genetic distances, phylogenetic analyses, pairwise fixation index, principal component analyses and population ancestry composition analyses were also conducted to evaluate the genetic relationships between the Gannan Tibetan group and other reference populations. RESULTS: Forensic parameters of the 165 AI-SNP loci indicated that not all of the SNPs showed high genetic polymorphisms in the Gannan Tibetan group. Population genetic analyses indicated that the Gannan Tibetan group had close genetic affinities with East Asian populations, especially with the groups residing in its neighboring geographical regions. CONCLUSIONS: The 165 AI-SNP loci in the Precision ID Ancestry Panel showed high ancestral prediction powers for different continental populations. When trying to predict the ancestral information of East Asian subpopulations using this panel, the prediction results are not particularly accurate. The 165 AI-SNP loci showed varying degrees of genetic polymorphisms in the Gannan Tibetan group, and the combined use of these loci could be an effective tool in the forensic individual identification and parentage testing of this group. The Gannan Tibetan group has close genetic affinities with East Asian populations compared with other reference populations, especially tighter genetic relationships with the groups residing in its neighboring geographical regions.

Comprehensive evaluations of individual discrimination, kinship analysis, genetic relationship exploration and biogeographic origin prediction in Chinese Dongxiang group by a 60-plex DIP panel.

BACKGROUND: Dongxiang group, as an important minority, resides in Gansu province which is located at the northwest China, forensic detection system with more loci needed to be studied to improve the application efficiency of forensic case investigation in this group. METHODS: A 60-plex system including 57 autosomal deletion/insertion polymorphisms (A-DIPs), 2 Y chromosome DIPs (Y-DIPs) and the sex determination locus (Amelogenin) was explored to evaluate the forensic application efficiencies of individual discrimination, kinship analysis and biogeographic origin prediction in Gansu Dongxiang group based on the 60-plex genotype results of 233 unrelated Dongxiang individuals. The 60-plex genotype results of 4582 unrelated individuals from 33 reference populations in five different continents were also collected to analyze the genetic background of Dongxiang group and its genetic relationships with other continental populations. RESULTS: The system showed high individual discrimination power, as the cumulative power of discrimination (CPD), cumulative power of exclusion (CPE) for trio and cumulative match probability (CMP) values were 0.99999999999999999999997297, 0.999980 and 2.7029E- 24, respectively. The system could distinguish 98.12%, 93.78%, 82.18%, 62.35% and 39.32% of full sibling pairs from unrelated individual pairs, when the likelihood ratio (LR) limits were set as 1, 10, 100, 1000 and 10,000 based on the simulated family samples, respectively. Additionally, Dongxiang group had the close genetic distances with populations in East Asia, especially showed the intimate genetic relationships with Chinese Han populations, which were concluded from the genetic affinities and genetic background analyses of Dongxiang group and 33 reference populations. In terms of the effectiveness of biogeographic origin inference, different artificial intelligent algorithms possessed different efficacies. Among them, the random forest (RF) and extreme gradient boosting (XGBoost) algorithm models could accurately predict the biogeographic origins of 99.7% and 90.59% of three and five continental individuals, respectively. CONCLUSION: This 60-plex system had good performance for individual discrimination, kinship analysis and biogeographic origin prediction in Dongxiang group, which could be used as a powerful tool for case investigation.

Forensic Characteristics and Genetic Background Dissections of Chinese Manchu and Zhuang Groups Using 59 Autosomal Diallelic InDels and 2 miniSTRs.

BACKGROUND: The latest development in molecular biology has offered an opportunity to construct multiplex panel with better applicability for forensic purpose, and a self-developed 64-plex panel, including 59 autosomal diallelic InDels, 2 miniSTRs, 2 Y-InDels, and an Amelogenin gene, was validated to be an effective forensic tool in the previous study. METHODS: By applying the 64-plex panel for DNA profiling, the obtained genotypes and the corresponding frequency data were used to investigate the forensic characteristics and population genetic structures of the Chinese Manchu group from the Inner Mongolia Autonomous Region and the Chinese Zhuang group from the Yunnan province. RESULTS: The 64-plex panel was qualified to perform human identification and paternity testing with the combined powers of discrimination of 0.99999999999999999999999999758 and 0.99999999999999999999999999691; and cumulative probabilities of exclusion of 0.99999866 and 0.99999880 in the studied Manchu and Zhuang groups, respectively. Relatively closer genetic relationships were found between the Chinese Manchu group and Han population in Beijing; and between the Chinese Zhuang group and Vietnamese Kinh population. CONCLUSIONS: It could be indicated from the results that, with the preliminary ability to distinguish ancestral components from all the studied groups, the 64-plex panel can not only serve as a robust forensic panel in the Manchu and Zhuang groups, but also offer genetic insights into the genetic differentiations and substructures of these populations.

Forensic efficiencies of individual identification, kinship testing and ancestral inference in three Yunnan groups based on a self-developed multiple DIP panel.

Deletion/insertion polymorphism (DIP), as a short insertion/deletion sequence polymorphic genetic marker, has attracted the attention of forensic genetic scientist due to its lack of stutter, short amplicon and abundant ancestral information. In this study, based on a self-developed 43 autosomal deletion/insertion polymorphism (A-DIP) loci panel which could meet the forensic application purposes of individual identification, kinship testing and ancestral inference to some extent, we evaluated the forensic efficiencies of the above three forensic objectives in Chinese Yi, Hani and Miao groups of Yunnan province. The cumulative match probability (CPM) and combined probability of exclusion (CPE) of these three groups were 1.11433E-18, 8.24299E-19, 4.21721E-18; 0.999610217, 0.999629285 and 0.999582084, respectively. Average 96.65% full sibling pairs could be identified from unrelated individual pairs (as likelihood ratios > 1) using this DIP panel, whereas the average false positive rate was 3.69% in three target Yunnan groups. With the biogeographical ancestor prediction models constructed by extreme gradient boosting (XGBoost) and support vector machine (SVM) algorithms, 0.8239 (95% CI 0.7984, 0.8474) of the unrelated individuals could be correctly divided according to the continental origins based on the 43 A-DIPs which were large frequency distribution differentiations among different continental populations. The present results of principal component analysis (PCA), multidimensional scaling (MDS), neighbor joining (NJ) and maximum likelihood (ML) phylogenetic trees and STRUCTURE analyses indicated that these three Yunnan groups had relatively close genetic distances with East Asian populations.