Exploring of tri-allelic SNPs using Pyrosequencing and the SNaPshot methods for forensic application: Nucleic acids

The application of short and highly polymorphic microhaplotype loci in paternity testing and sibling testing of temperature-dependent degraded samples

Paternity testing and sibling testing become more complex and difficult when samples degrade. But the commonly used genetic markers (STR and SNP) cannot completely solve this problem due to some disadvantages. The novel genetic marker microhaplotype proposed by Kidd’s research group combines the advantages of STR and SNP and is expected to become a promising genetic marker for kinship testing in degraded samples. Therefore, in this study, we intended to select an appropriate number of highly polymorphic SNP-based microhaplotype loci, detect them by the next-generation sequencing technology, analyze their ability to detect degraded samples, calculate their forensic parameters based on the collected 96 unrelated individuals, and evaluate their effectiveness in paternity testing and sibling testing by simulating kinship relationship pairs, which were also compared to 15 STR loci. Finally, a short and highly polymorphic microhaplotype panel was developed, containing 36 highly polymorphic SNP-based microhaplotype loci with lengths smaller than 100 bp and Ae greater than 3.00, of which 29 microhaplotype loci could not reject the Hardy-Weinberg equilibrium and linkage equilibrium after the Bonferroni correction. The CPD and CPE of these 29 microhaplotype loci were 1-2.96E-26 and 1-5.45E-09, respectively. No allele dropout was observed in degraded samples incubated with 100°C hot water for 40min and 60min. According to the simulated kinship analysis, the effectiveness at the threshold of 4/−4 reached 98.39% for relationship parent-child vs. unrelated individuals, and the effectiveness at the threshold of 2/−2 for relationship full-sibling vs. unrelated individuals was 93.01%, which was greater than that of 15 STR loci (86.75% for relationship parent-child vs. unrelated individuals and 81.73% for relationship full-sibling vs. unrelated individuals). After combining our 29 microhaplotype loci with other 50 short and highly polymorphic microhaplotype loci, the effectiveness values at the threshold of 2/−2 were 82.42% and 90.89% for relationship half-sibling vs. unrelated individuals and full-sibling vs. half-sibling. The short and highly polymorphic microhaplotype panel we developed may be very useful for paternity testing and full sibling testing in degraded samples, and in combination with short and highly polymorphic microhaplotype loci reported by other researchers, may be helpful to analyze more distant kinship relationships.

A new digital approach to SNP encoding for DNA identification

Identification of individuals has become an urgent problem for mankind. In the last three decades, STR-based DNA identification has actively evolved along with traditional biometric methods. Nonetheless, single-nucleotide polymorphisms (SNPs) are now of great interest and a number of relevant SNP panels have been proposed for DNA identification. Here, a simple approach to SNP data digitization that can provide assigning a unique genetic identification number (GIN) to each person is proposed. The key points of this approach are as follows: 1) SNP data are digitized as whole 4-bit boxes in the most convenient binary format, where character "1" (YES) is assigned to revealed nucleotides, and character "0" (NO) to missing nucleotides after SNP-typing; 2) all SNPs should be considered tetra-allelic. Calculations showed that a 72-plex SNP panel is enough to provide the population with unique GINs, which can be represented in digital (binary or hexadecimal) or graphic (linear or two-dimensional) formats. Simple software for SNP data processing and GINs creation in any format was written. It is likely that the national and global GIN databases will facilitate the solution of problems related to identification of individuals or human biological materials. The proposed approach may be extended to other living organisms as well.

A Highly Polymorphic Panel Consisting of Microhaplotypes and Compound Markers with the NGS and Its Forensic Efficiency Evaluations in Chinese Two Groups

Novel genetic markers like microhaplotypes and compound markers show promising potential in forensic research. Based on previously reported single nucleotide polymorphism (SNP) and insertion/deletion (InDel) polymorphism loci, 29 genetic markers including 22 microhaplotypes and seven compound markers were identified. Genetic distributions of the 29 loci in five continental populations, Kazak and Mongolian groups in China were investigated. We found that the expected heterozygosity values of these 29 loci were >0.4 in these populations, indicating these loci were relatively high polymorphisms. Population genetic analyses of five continental populations showed that five loci displayed relatively high genetic variations among these continental populations and could be useful markers for ancestry analysis. In summary, the 29 loci displayed relatively high genetic diversities in continental populations and Chinese two groups and could be informative loci for forensic research.

Noninvasive prenatal paternity testing using targeted massively parallel sequencing

BACKGROUND

Recent advances in massively parallel sequencing (MPS) technology have provided efficient methods for noninvasive prenatal paternity testing (NIPAT). However, a well-accepted protocol has not been established. The present study developed an MPS-based approach for NIPAT and compared the performance of two recently reported methods for MPS data interpretation.

STUDY DESIGN AND METHODS

We selected 1795 unlinked polymorphic single-nucleotide polymorphisms (SNPs) and performed paternity analysis in 34 real parentage test cases with maternal plasma samples using the Illumina HiSeq platform. Sequencing data were interpreted by the straightforward counting method for the identification of paternal alleles and mathematical algorithms for paternity index (PI) calculation, respectively.

RESULTS

Based on the sequencing data from each family case, both of the two statistical approaches produced a significant separation between the biological father and 90 unrelated males (p < 0.0001) when sufficient effective loci were attained. Nevertheless, up to 30.82% of real paternal alleles were filtered by a predefined cutoff and resulted in insufficient effective loci, especially in plasma samples with low fetal fraction (approx. 90.60% were filtered). In contrast, the PI calculation model utilized all maternal homozygous SNPs as effective loci (approx. 40% of total SNPs) and successfully identified the correct biological father, with the log-transformed combined PI (Lg(CPI)) value varying from 68.23 to 158.01 in each family case.

CONCLUSION

Our study illustrates that the Bayesian approach represents the better choice in NIPAT data interpretation. Further, the adoption of more informative markers (e.g., tri-allelic SNPs, tetra-allelic SNPs, and micro-haplotypes) or deeper sequencing is recommended for the improvement of the testing efficiency.

Construction and forensic genetic characterization of 11 autosomal haplotypes consisting of 22 tri-allelic indels

Insertion/deletion polymorphisms (indels), which combine the advantages of both short tandem repeats and single-nucleotide polymorphisms, are suitable for parentage testing. To overcome the limitations of the low polymorphism of di-allelic indels, we constructed a set of haplotypes with physically linked, multi-allelic indels. Candidate haplotypes were selected from the 1000 Genomes Project database, and were subject to the following criteria for inclusion: (i) each marker must have a minimum allele frequency (MAF) of ≥0.1 in the Han population of China; (ii) markers must exist in a non-coding region; (iii) the physical distance between a pair of candidate indels must be <500 bp; (iv) the allele length variation of each indel from 1 to 20 bp; (v) different haplotypes must be located on different chromosomes or chromosomal arms, or be more than 10 Mb apart if on the same chromosomal arm; and (vi) they must not be located across a recombination hotspot. A multiplex system with 11 haplotype markers, comprising 22 tri-allelic indel loci distributed over 10 chromosomes was developed. To validate the multiplex panel, we investigated the haplotype distribution in sets of two and three-generation pedigrees. The results demonstrated that the haplotypes consisting of multi-allelic indel markers exhibited higher polymorphism than a single indel locus, and thus provide Supplementary information for forensic kinship identification.

SNaPBcen: a novel and practical tool for genotyping Burkholderia cenocepacia

Burkholderia cenocepacia is the most prevalent and feared member of the Burkholderia cepacia complex in lung infections of cystic fibrosis (CF). Genotyping and monitoring of long-term colonization are critical at clinical units; however, the differentiation of specific lineages performed by multilocus sequence typing (MLST) is still limited to a small number of isolates due to the high cost and time-consuming procedure. The aim of this study was to optimize a protocol (the SNaPBcen assay) for extensive bacterial population studies. The strategy used for the SNaPBcen assay is based on targeting single nucleotide polymorphisms (SNPs) located in MLST genes instead of sequencing full MLST sequences. Nonpolymorphic and redundant MLST positions were eliminated, and a set of 24 polymorphisms included in the SNaPBcen assay ensures a high-resolution genomic characterization. These polymorphisms were identified based on the comparative analysis of 137 B. cenocepacia MLST profiles available online (http://pubmlst.org/bcc/). The group of 81 clinical isolates of B. cenocepacia examined in this study using the SNaPBcen assay revealed 51 distinct profiles, and a final discriminatory power of 0.9997 compared with MLST was determined. The SNaPBcen assay was able to reveal isolates with microvariations and the presence of multiple clonal variants in patients chronically colonized with B. cenocepacia. Main phylogenetic subgroups IIIA, IIIB, and IIIC of B. cenocepacia could be separated by the Gl94R polymorphism included in the panel. The SNaPBcen assay proved to be a rapid and robust alternative to the standard MLST for B. cenocepacia, allowing the simultaneous analysis of multiple polymorphisms following amplification and mini-sequencing reactions.