Establishment of an alternative efficiently genotyping strategy for human ABO gene

Statistical methods for discrimination of STR genotypes using high resolution melt curve data

Despite the improvements in forensic DNA quantification methods that allow for the early detection of low template/challenged DNA samples, complicating stochastic effects are not revealed until the final stage of the DNA analysis workflow. An assay that would provide genotyping information at the earlier stage of quantification would allow examiners to make critical adjustments prior to STR amplification allowing for potentially exclusionary information to be immediately reported. Specifically, qPCR instruments often have dissociation curve and/or high-resolution melt curve (HRM) capabilities; this, coupled with statistical prediction analysis, could provide additional information regarding STR genotypes present. Thus, this study aimed to evaluate Qiagen's principal component analysis (PCA)-based ScreenClust® HRM® software and a linear discriminant analysis (LDA)-based technique for their abilities to accurately predict genotypes and similar groups of genotypes from HRM data. Melt curves from single source samples were generated from STR D5S818 and D18S51 amplicons using a Rotor-Gene® Q qPCR instrument and EvaGreen® intercalating dye. When used to predict D5S818 genotypes for unknown samples, LDA analysis outperformed the PCA-based method whether predictions were for individual genotypes (58.92% accuracy) or for geno-groups (81.00% accuracy). However, when a locus with increased heterogeneity was tested (D18S51), PCA-based prediction accuracy rates improved to rates similar to those obtained using LDA (45.10% and 63.46%, respectively). This study provides foundational data documenting the performance of prediction modeling for STR genotyping based on qPCR-HRM data. In order to expand the forensic applicability of this HRM assay, the method could be tested with a more commonly utilized qPCR platform.

Detection of five common variants of ABO gene by a triplex probe-based fluorescence-melting-curve-analysis

Current studies have suggested that the ABO blood group system is associated with several clinical conditions. For large-scale genotyping of ABO alleles, we developed a triplex fluorescence melting curve analysis (FMCA) to determine five single nucleotide variants (SNVs), c.261delG, c.796C>A, c.802G>A and c.803G>C and c.1061delC, responsible for common ABO phenotypes using dual-labeled self-quenched (TaqMan) probes in a single tube. We accurately determined c.796C>A, c.802G>A, and c.803G>C genotypes using a FAM-labeled probe, c.261delG using a CAL Fluor Orange 560- labeled probe, and c.1061delC using a Cy5-labeled probe. The present genotyping results of five SNVs in 214 subjects of the 1000 Genomes Project were in full agreement with those of the database sequence. The predicted ABO phenotypes using combinations of these five SNVs by this method in 288 Japanese subjects were in complete agreement with those by hemagglutination assay, although we did not find any A2 (alleles containing c.1061delC) or O.02 (alleles containing c.802G>A) alleles. The present triplex probe-based FMCA is a valid and credible method for a considerably accurate large-scale determination of ABO allele genotypes and estimation of phenotypes.

Genotyping genetic markers from LCN and degraded DNA by HRM and their application in hair shaft

Degraded and low copy number (LCN) DNA samples are common challenging materials in forensic casework because they increase the difficulty of sample processing and reduce the possibility of obtaining genetic information from DNA. High-resolution melting (HRM) curve analysis is promising for genotyping genetic markers and has been applied to the detection of LCN and degraded DNA in the field of forensic science. However, the exact assessment based on HRM at multiple genetic markers from both degraded and LCN DNA materials has not been optimized. To explore the ability of HRM to genotype LCN and degraded DNA samples, we selected three genetic markers to genotype in experimental LCN and degraded DNA and practical hair shaft materials, which are often encountered as degraded and LCN DNA in forensic medicine. The results show that DNA samples of as low as 100 pg and as short as 60 bp were successfully genotyped by the HRM assay at all three genetic markers, whereas in hair shaft DNA, two loci were accurately genotyped. The HRM assay established in this study can be applied to LCN and degraded DNA analysis in forensic casework and can act as a reference point before genotyping short tandem repeat markers. Developing the HRM strategy for genotyping DNA genetic markers enriches detectable targets in hair shaft samples and provides valuable data for further exploration.