Systematic selection of ancestry informative SNPs for differentiating Han,Japanese, Dai,and Kinh populations

Biogeographical origin inferences of different populations can provide valuable clues in the forensic investigation by narrowing down the detection scope. However, much research mainly focuses on forensic ancestral origin analyses of major continental populations, which may provide limited information in forensic practice. To improve the ancestral resolution of East Asian populations, we systematically selected ancestry informative single-nucleotide polymorphisms (AISNPs) for differentiating Han, Dai, Japanese, and Kinh populations. In addition, we evaluated the performance of the selected AISNPs to differentiate these populations via multiple methods. Totally 116 AISNPs were selected from the genome-wide data to infer the population origins of these four populations. Results of principle component analysis and population genetic structure of these populations indicated that the selected 116 AISNPs could achieve ancestral resolution of most individuals. Furthermore, the machine learning model built by 116 AISNPs unveiled that most individuals from these four populations could be assigned to correct population origins. To sum up, the selected 116 SNPs could be available for ancestral origin predictions of Han, Dai, Japanese, and Kinh populations, which could provide valuable information for forensic research and genome-wide association study in East Asian populations to some extent.     

An efficient ancestry informative SNPs panel for further discriminating East Asian populations

In forensic genetics, the use of ancestry informative single-nucleotide polymorphisms (AISNPs) panels can narrow the direction of the investigation by estimating an individual's biogeographic ancestry. However, distinguishing subgroups within continental regions requires more specific panels. In this study, we screened 19 AISNPs from the 1000 Genomes Project (1KG) based on their F_ST values to distinguish target populations in East Asia and obtained genotypes through SNaPshot. The 19 AISNPs could divide the global population of the 1KG into five clusters and could further divide the East Asian population into four clusters: Japanese, Han Chinese, Dai Chinese, and Kinh in Ho Chi Minh City of Vietnam. In summary, the 19-AISNP panel may serve as a useful and cost-effective tool for forensic ancestry inference in East Asian populations at a finer scale.     

Distinguishing three distinct biogeographic regions with an in‐house developed 39‐AIM‐InDel panel and further admixture proportion estimation for Uyghurs

In the forensic field, ancestry‐informative markers (AIMs) showing remarkable allele frequency discrepancies can be useful in deducing the likely ancestral origin of a person or estimating the ancestry component proportions of an admixed population or individual. Diallelic single nucleotide polymorphisms are genetic markers commonly used for ancestry inference, but the genotyping methods of single nucleotide polymorphisms fail to fulfil the demands of cost‐effectiveness and simplicity of experimental manipulation. To overcome the limitations, a 39 ancestry‐informative insertion/deletion polymorphism multiplex panel was developed in the present study to perform ancestry assignment of individuals from three distinct biogeographic regions (Africa, Europe, East Asia). And in the panel design, we also attempted to incorporate AIM‐insertion/deletion polymorphisms exhibiting allelic frequency differences in Han, Uyghur, and Tibetan populations into the multiplex assay, further expecting to provide valuable information for refining ancestry inference within Chinese populations. Statistical analyses were performed to estimate efficiency of this panel in clustering individuals from three continents mentioned above into their corresponding populations, which indicated the potential of the panel in ancestry inference. Besides, we also estimated the ancestral component proportions of Uyghur group and STRUCTURE analysis revealed that Uyghurs from Urumchi city of northern Xinjiang exhibited a distinctly admixed pattern of East Asian and European ancestry components with a ratio of 49:44, reflecting the relatively higher East Asian ancestry component contribution in the gene pool of the Uyghur group.     

A small NGS–SNP panel of ancestry inference designed to distinguish African,European, East,and South Asian populations

In this study, a small set of ancestry informative SNPs was selected to differentiate African, European, East and South Asian samples, which was detected by the next-generation sequencing technology. A total of 127 Chinese Shaanxi Han individuals were collected as test samples. No statistically significant linkage disequilibrium of any pair of loci or departure from Hardy–Weinberg equilibrium of each locus was observed in the test population. To evaluate the performance of ancestry assignment using this panel, admixture analysis, principal component analysis, and likelihood ratio calculations were conducted based on the 1000 genome data and test samples. All populations were clustered into four groups, African, European, South and East Asian populations, which were consistent with their geographical origins. The pairwise fixation index (F_ST) between populations from different continental groups ranged from 0.140 to 0.621 with average 0.415, and the pairwise F_ST between populations from the same continent ranged from 0.000 to 0.056 with average 0.012. The likelihood ratio results of 125 test individuals indicated that their ancestry components were highly possible from East Asia. In conclusion, this small set of ancestry informative SNPs can be used as a reliable tool to identify and quantify ancestry components of unknown samples.     

A targeted ancestry informative InDels panel on capillary electrophoresis for ancestry inference in Asian populations

CE is the primary methodology used in forensic DNA typing. Alleles of commonly used types of genetic markers could be separated and detected via CE based on dye color and migration time. Insertion/deletion (InDel) is an ideal genetic marker for forensic DNA analysis due to their abundance in the human genome, low mutation rate, availability of their allele types via CE, and elimination of stutter peaks. Moreover, InDels could be used as ancestry informative markers since allele frequencies of InDels is different among geographically separated populations. Several ancestry informative insertion/deletion panels have been established based on CE platform to achieve the intercontinental populations distinction. However, improvements to differentiate intracontinental populations is few. In this study, 21 InDels with fixation index (F_ST) > 0.15 were selected and assembled into one ancestry informative insertion/deletion panel. Using well-designed primers, those 21 InDels could be amplified successfully and genotyped on the CE platform accurately and completely. The panel showed a large F_ST distance distinction among the ten Asian populations. Using clustering analysis, ten Asian populations were classified into three subgroups: East Asian, Southeast Asian, and South Asian subgroups. To evaluate the panel's capability in ancestry inference, a validation experiment was undertaken with 319 individuals from four geographically separated populations in China. Four Chinese populations were classified into different ancestry subgroups and 81.8% test individuals’ ancestry could be inferred correctly. Our result showed that development of high ancestry informative InDels panel based on CE platform is a potential for individual ancestry inference among intracontinental populations.     

A high-performance SNP panel developed by machine-learning approaches for characterizing genetic differences of Southern and Northern Han Chinese,Korean, and Japanese individuals

Population stratification analyses targeting genetically closely related East Asians have revealed that distinguishable differentiation exists between Han Chinese, Korean, and Japanese individuals, as well as between southern (S-) and northern (N-) Han Chinese. Previous studies offer a number of choices for ancestry informative single nucleotide polymorphisms (AISNPs) to discriminate East-Asian populations. In this study, we collected and examined the efficiency of 1185 AISNPs using frequency and genotype data from various publicly available databases. With the aim to perform fine-scale classification of S-Han, N-Han, Korean, and Japanese subjects, machine-learning methods (Softmax and Random Forest) were used to screen a panel of highly informative AISNPs and to develop a superior classification model. Stepwise classification was implemented to increase and balance the discrimination in the process of AISNP selection, first discriminating Han, Korean, and Japanese individuals, and then characterizing stratification between S-Han and N-Han. The final 272-AISNP panel is an alternative optimization of various previous works, which promises reliable and >90% accuracy in classification of the four East-Asian groups. This AISNP panel and the machine-learning model could be a useful and superior choice in medical genome-wide association studies and in forensic investigations for unknown suspect identity.     

Autosomal deletion/insertion polymorphisms for global stratification analyses and ancestry origin inferences of different continental populations by machine learning methods

A lot of population data of 30 deletion/insertion polymorphisms (DIPs) of the Investigator DIPplex kit in different continental populations have been reported. Here, we assessed genetic distributions of these 30 DIPs in different continental populations to pinpoint candidate ancestry informative DIPs. Besides, the effectiveness of machine learning methods for ancestry analysis was explored. Pairwise informativeness (In) values of 30 DIPs revealed that six loci displayed relatively high In values (>0.1) among different continental populations. Besides, more loci showed high population-specific divergence (PSD) values in African population. Based on the pairwise In and PSD values of 30 DIPs, 17 DIPs in the Investigator DIPplex kit were selected to ancestry analyses of African, European, and East Asian populations. Even though 30 DIPs provided better ancestry resolution of these continental populations based on the results of PCA and population genetic structure, we found that 17 DIPs could also distinguish these continental populations. More importantly, these 17 DIPs possessed more balanced cumulative PSD distributions in these populations. Six machine learning methods were used to perform ancestry analyses of these continental populations based on 17 DIPs. Obtained results revealed that naïve Bayes manifested the greatest performance; whereas, k nearest neighbor showed relatively low performance. To sum up, these machine learning methods, especially for naïve Bayes, could be used as the valuable tool for ancestry analysis.     

Development of a novel forensic STR multiplex for ancestry analysis and extended identity testing

There is growing interest in developing additional DNA typing techniques to provide better investigative leads in forensic analysis. These include inference of genetic ancestry and prediction of common physical characteristics of DNA donors. To date, forensic ancestry analysis has centered on population‐divergent SNPs but these binary loci cannot reliably detect DNA mixtures, common in forensic samples. Furthermore, STR genotypes, forming the principal DNA profiling system, are not routinely combined with forensic SNPs to strengthen frequency data available for ancestry inference. We report development of a 12‐STR multiplex composed of ancestry informative marker STRs (AIM‐STRs) selected from 434 tetranucleotide repeat loci. We adapted our online Bayesian classifier for AIM‐SNPs: Snipper, to handle multiallele STR data using frequency‐based training sets. We assessed the ability of the 12‐plex AIM‐STRs to differentiate CEPH Human Genome Diversity Panel populations, plus their informativeness combined with established forensic STRs and AIM‐SNPs. We found combining STRs and SNPs improves the success rate of ancestry assignments while providing a reliable mixture detection system lacking from SNP analysis alone. As the 12 STRs generally show a broad range of alleles in all populations, they provide highly informative supplementary STRs for extended relationship testing and identification of missing persons with incomplete reference pedigrees. Lastly, mixed marker approaches (combining STRs with binary loci) for simple ancestry inference tests beyond forensic analysis bring advantages and we discuss the genotyping options available.     

Inference of population structure and admixture proportion from Y chromosomal data of Chinese population

In the past two decades, Y chromosome data has been generated for human population genetic studies. These Y chromosome datasets were produced with various testing methods and markers, thus difficult to combine them for a comprehensive analysis. In this study, we combine four human Y chromosomal datasets of Han, Tibetan, Hui, and Li ethnic groups. The dataset contains 27 microsatellites and 137 single nucleotide polymorphisms these populations share in common. We assembled a single dataset containing 2439 individuals from 25 nationwide populations in China. A systematic analysis of genetic distance and clustering was performed. To determine the gene flow of the studied population with worldwide populations, we modeled the ancestry informative markers. The reference panel was regarded as a mixture of South Asian (SAS), East Asian (EAS), European (EUR), African (AFR), and American (AMR) populations from 1000 Genomes data of Y chromosome using nonlinear data-fitting. We then calculated the admixture proportion of these four studied populations with 26 worldwide populations. The results showed that the Han and Hui have great genetic affinity, and Hui is the most admixed ethnic group, with 61.53% EAS, 34.65% SAS, 1.91% AFR, 1.56% AMR, and 0.04% EUR ancestry component (the AMR is highly admixed and thus should be ignored). All the other three ethnic groups contained more than 97% EAS ancestry component. The Li is the least admixed population in this study. The combined dataset in this study is the largest of this kind reported to date and proposes reference population data for use in future paternal genetic studies and forensic genealogical identification.     

基于微流控芯片的72重单核苷酸多态性族群推断系统的构建

建立了常染色体单核苷酸多态性（SNPs）复合检测芯片体系,用于未知个体的族群来源推断。基于前期筛选的74-SNPs组合,采用竞争性等位基因特异性聚合酶链式反应（PCR）的原理构建SNPs的扩增体系,在微流控芯片的每个反应孔内完成一个SNP的检测,通过高通量PCR微流控芯片实现了其中72个SNPs的同步检测。芯片的扩增由平板PCR仪完成,反应孔的荧光信号通过激光共聚焦扫描仪检测,最终通过提取的荧光值进行结果分析。使用该芯片检测获得52份样本的SNPs分型,分型结果的准确率为100%。以57个人群的3628个样本为参考人群数据库,进行20份样本的族群来源推断,推断结果与样本的实际来源一致。本研究建立的常染色体72个SNPs微流控芯片体系可以有效地进行SNP多态性分析检测,基于参考数据库,20份检测样本族群推断的准确性为100%。     

Forensic efficacy evaluation and genetic structure exploration of the Yunnan Miao group by a multiplex InDel panel

The aim of the study was to better understand the genetic characteristics of the Miao group in China. Herein, genetic characteristics and forensic application values of 57 autosomal insertion–deletion (InDel) loci were investigated in 210 unrelated healthy individuals from the Chinese Yunnan Miao (YM) group. Meanwhile, the genetic differences in these InDels were compared among the YM group and 26 reference populations. The results of forensic statistical analyses showed that all 57 autosomal InDels were in accordance with the Hardy–Weinberg and linkage equilibria of pairwise loci in the Chinese YM group. Moreover, the combined probability of discrimination and probability of exclusion in the YM group were 0.9999999999999999999999801 and 0.999928, respectively, which indicated that the multiplex amplification including 57 autosomal InDels was suitable for forensic individual identification and paternity testing in the Chinese YM group. In addition, the results of allelic frequency distribution differential analyses, principal component analyses, phylogenetic tree reconstruction, and genetic structure analyses between the Chinese YM group and 26 reference populations revealed that the genetic similarities between the YM group and East Asian populations were more than that between the YM group and other geographical populations. This 57 autosomal InDels system can also effectively distinguish East Asian, European, and African populations.     

A set of novel multi-allelic SNPs for forensic application developed through massively parallel sequencing and its examples of population genetic studies

Massively parallel sequencing (MPS) technology allows to simultaneously type multitudinous molecular genetic markers for many samples in one run with the feature of high detection resolution, and thereby arouses the increasing attention from forensic science. Herein, multiple allelic single nucleotide polymorphisms (multi-allelic SNPs) were screened for personal identification and parentage testing, and then were genotyped using MPS platform. Unrelated individuals of Chinese Mongolian and Kazakh groups were investigated to further estimate forensic effectiveness and applicability of these multi-allelic SNPs. The results of sequencing efficiency estimations and forensic genetic statistical parameters demonstrated that this MPS panel of multi-allelic SNPs was expected to be work for forensic applications. Subsequently, the exploration of population genetic variation patterns among the two investigated groups and other 26 reference populations revealed that these Chinese Mongolian and Kazakh groups had the similar population genetic patterns with the populations from East Asian, but European ancestral composition in the Kazakh group was higher than that in the Mongolian group. Currently, the present results were the preliminary research to scrutinize genetic information of these two ethnic minority groups employing multi-allelic SNPs.     

Development a multiplex panel of AISNPs,multi-allelic InDels,microhaplotypes, and Y-SNP/InDel loci for multiple forensic purposes via the NGS

Recently, next generation sequencing has shown the promising application value in forensic research. In this study, we constructed a multiplex amplification system of different molecular genetic markers based on the previous selected ancestry informative single nucleotide polymorphisms (SNPs), multi-allelic insertion/deletion (InDel) polymorphisms, microhaplotypes, and Y-chromosomal SNP/InDel loci, and evaluated forensic efficiencies of the system in Chinese Shaanxi Han, Chinese Hui, and Chinese Mongolian groups via the next generation sequencing platform. Ancestry information analyses of Shaanxi Han, Hui, and Mongolian groups revealed that most Mongolian individuals could be differentiated from Shaanxi Hans and Huis based on the selected ancestry informative SNPs. Multi-allelic InDels and microhaplotypes showed the multiple allele variations and possessed relatively high genetic polymorphisms in these three groups, indicating these loci could provide higher forensic efficiencies for individual identification and paternity testing. Based on Y-chromosomal SNPs, different haplogroup distributions were observed among Shaanxi Han, Hui, and Mongolian groups. In conclusion, the self-developed system could be used to simultaneously carry out the individual identification, paternity analysis, mixture deconvolution, forensic ancestry information analysis, and Y-chromosomal haplogroup inference, which could provide more valuable investigative clues in forensic practices.     

Improving the analysis of Y‐SNP haplogroups by a single highly informative 16 SNP multiplex PCR‐minisequencing assay

The SNP haplogroups of the Y‐chromosome are nonrandomly distributed among human populations. They are used for tracing the phylogeographical history of paternal lineages of male individuals and can be a useful tool for approaching the patrilineal bio‐geographic ancestry of unknown forensic evidences. With the aim of facilitating the inference of the principal informative worldwide Y‐SNP haplogroups, we have selected the minimum possible number of key Y‐SNPs to be amplified in a sensitive single multiplex PCR and detected by minisequencing. This assay, that includes 16 Y‐SNPs, was tested for male human specificity, sensitivity, and reproducibility. Its effectiveness was assessed in a set of degraded DNA samples and in a panel of male individuals from different worldwide populations. All these tests demonstrated the convenience of this assay for assigning the major Y haplogroups to forensic evidences by one single PCR‐minisequencing reaction.     

Evaluation of ForenSeq™ Signature Prep Kit B on predicting eye and hair coloration as well as biogeographical ancestry by using Universal Analysis Software (UAS) and available web‐tools

This study examined 266 individuals from various populations including African American, East Asian, South Asian, European, and mixed populations to evaluate the ForenSeq? Signature Prep Kit Primer Mix B. Focus was placed on phenotypic and biogeographical ancestry predictions by Illumina's Universal Analysis Software (UAS). These outcomes were compared to those obtained through web‐tools developed at the Erasmus Medical Center (EMC) and available from the Forensic Resource/Reference on Genetics‐knowledge base (FROG‐kb), as well as to eye color predictions by the 8‐plex system. Due to drop‐outs, predictions for eye and hair color by UAS failed for various samples in each run. By including reads below thresholds, predictions could be obtained for all samples through the web‐tools. Eye and hair color predictions for African Americans, East Asians, and South Asians showed no errors. Difficulties however, were noted in intermediate (neither blue nor brown) eye color predictions. These were mitigated by the 8‐plex system through exclusion of one eye color (e.g. “not brown”). Additionally, notable discrepancies were observed in hair color predictions, where some black/dark‐brown haired individuals were predicted to have blond hair. Overall, ancestry predictions were more accurate by FROG‐kb compared to UAS, which did not predict South Asian ancestry, particularly Indian individuals.     

Developing and population analysis of a new multiplex panel of 18 microhaplotypes and compound markers using next generation sequencing and its application in the Shaanxi Han population

Compound marker consists of two different types of genetic markers, like deletion/insertion polymorphism and single nucleotide polymorphism in the genomic region of 200 bp, and microhaplotype consists of a series of closely linked single nucleotide polymorphisms in a small DNA segment (<300 bp), which show great potential for human identifications and mixture analyses. In this study, we initially selected 23 novel genetic markers comprising 10 microhaplotypes and 13 compound markers according to previously reported single nucleotide polymorphism or deletion/insertion polymorphism loci. Genetic distributions of these 23 loci in different continental populations showed that they could be used as valuable loci for forensic human identification purpose. Besides, high informativeness values (>0.1) were observed in six loci which could be further employed for forensic ancestry analyses. Finally, 18 loci were successfully developed into a multiplex panel and detected by the next generation sequencing (NGS) technology. Further analyses of these 18 loci in the studied Shaanxi Han population showed that 15 loci exhibited relatively high expected heterozygosities (>0.5). Cumulative power of discrimination (0.999 999 999 99 4835) of these 18 loci revealed that the multiplex panel could also be utilized for human identifications in the studied Shaanxi Han population.     

Forensic applicability of multi‐allelic InDels with mononucleotide homopolymer structures

Insertion/deletion polymorphisms (InDels), which possess the characteristics of low mutation rates and a short amplicon size, have been regarded as promising markers for forensic DNA analysis. InDels can be classified as bi‐allelic or multi‐allelic, depending on the number of alleles. Many studies have explored the use of bi‐allelic InDels in forensic applications, such as individual identification and ancestry inference. However, multi‐allelic InDels have received relatively little attention. In this study, InDels with 2–6 alleles and a minor allele frequency ≥0.01, in Chinese Southern Han (CHS), were retrieved from the 1000 Genomes Project Phase III. Based on the structural analysis of all retrieved InDels, 17 multi‐allelic markers with mononucleotide homopolymer structures were selected and combined in one multiplex PCR reaction system. Sensitivity, species specificity and applicability in forensic case work of the multiplex were analyzed. A total of 218 unrelated individuals from a Chinese Han population were genotyped. The combined discriminatory power (CDP), the combined match probability (CMP) and the cumulative probability of exclusion (CPE) were 0.9999999999609, 3.91E‐13 and 0.9956, respectively. The results demonstrated that this InDel multiplex panel was highly informative in the investigated population and most of the 26 populations of the 1000 Genomes Project. The data also suggested that multi‐allelic InDel markers with monomeric base pair expansions are useful for forensic applications.     

Independent development and validation of a novel six-color fluorescence multiplex panel including 61 diallelic DIPs and 2 miniSTRs for forensic degradation sample

Current forensic DNA profiles are obtained based on analyses of PCR product sizes or DNA sequence polymorphisms. Sometimes routine forensic analysis using short tandem repeat (STR) generates unsuccessful DNA testing result if the biological sample encountered is excessively degraded and low-template DNA. Herein, a new six-color fluorescence labeling system, including 59 autosomal diallelic deletion or insertion polymorphisms (DIPs), 2 miniSTRs, 2 Y-chromosome DIPs, and 1 Amelogenin gene with the amplicon sizes of less than 200 bp, was self-developed. According to the validation guidelines for DNA analysis methods formulated by the Scientific Working Group on DNA Analysis Methods, the validation studies have also been carried out for the multiplex system. This novel panel possessed the features of strong stability, high sensitivity, and good specificity, which was especially suitable for the forensic degraded and mixed sample detections. The cumulative power of exclusion and cumulative matching probability of the system were 0.9999978 and 9.833E-28, respectively, in Han Chinese in Hunan, China. Moreover, this system will be an effective new tool that can be independently applied to forensic personal identification and paternity testing in the populations from the East Asia region, even from the South Asia, America, and Europe regions. The system can also contribute to population phylogenetic affinity and genetic structure analyses among different populations.     

Development of a new 25plex STRs typing system for forensic application

We have developed a novel STR 25‐plex florescence multiplex‐STR kit (DNATyper25) to genotype 23 autosomal and two sex‐linked loci for forensic applications and paternity analysis. Of the 23 autosomal loci, 20 are non‐CODIS. The sex‐linked markers include a Y‐STR locus (DYS391) and the Amelogenin gene. We present developmental validation studies to show that the DNATyper25 kit is reproducible, accurate, sensitive, and robust. Sensitivity testing showed that full profiles were achieved with as low as 125 pg of human DNA. Specificity testing demonstrated a lack of cross reactivity with a variety of commonly encountered non‐human DNA contaminants. Stability testing showed that full profiles were obtained with humic acid concentration ≤60 ng/μL and hematin concentration <400 μM. For forensic evaluation, the 23 autosomal STRs followed the Hardy–Weinberg equilibrium. In an analysis of 509 Chinese (CN) Hans, we detected a combined total of 181 alleles at the 23 autosomal STR loci. Since these autosomal STRs are independent from one another, PM was 8.4528 × 10^?22, TDP was 0.999 999 999 999 999 999 999, CEP was 0.999 999 8395. The forensic efficiency parameters demonstrated that these autosomal STRs are highly polymorphic and informative in the Han population of China. We performed population comparisons and showed that the Northern CN Han has a close genetic relationship with the Luzhou Han, Tujia, and Bai populations. We propose that the DNATyper25 kit will be useful for cases where paternity analysis is difficult and for situations where DNA samples are limited in quantity and low in quality.     

Considering the flanking region variants of nonbinary SNP and phenotype-informative SNP to constitute 30 microhaplotype loci for increasing the discriminative ability of forensic applications

The flanking region variants of nonbinary SNPs and phenotype-informative SNPs (piSNPs) have been observed, which may greatly improve the discriminative ability after constituting microhaplotype. In this study, 30 microhaplotype loci based on the nonbinary SNPs and piSNPs (shown to be related to phenotypes such as hair and eye color) were selected. Genotyping were conducted on 100 unrelated northern Han Chinese, and the 26 populations from the 1000 Genome Project were also included for comparison of populations differentiation. The simulated study was conducted for evaluating the efficiency of kinship testing. These 30 microhaplotype loci we selected had good polymorphism, with a mean effective number of alleles (Ae) of 3.46. The average Ae increase was 1.27 compared with the target SNPs. The populations from the five regions worldwide could also be distinguished using these loci. The results of kinship testing showed that these microhaplotype loci had the similar ability as 15 STR loci of AmpFlSTR^R Identifiler^R PCR Amplification Kit to identify the biological parent and a stronger ability to exclude the nonbiological parents. So, these 30 microhaplotype loci may be multifunctional for forensic application, including the ability of personal identification and kinship testing equivalent to 15 STR loci, and the power of ancestry inference for distinguishing the main intercontinental population. Moreover, our selected phenotypic microhaplotype loci may theoretically have phenotype prediction capabilities. But the phenotype prediction efficiency of these phenotypic microhaplotype loci may be worse than that of piSNPs and the detailed prediction accuracy of different populations needs to be further studied.