Seven-CpG DNA Methylation Age determined by Single Nucleotide Primer Extension and Illumina's Infinium MethylationEPIC array provide highly comparable results

DNA methylation age (DNAm age, epigenetic clock) is a novel and promising biomarker of aging. It is calculated from the methylation fraction of specific cytosine phosphate guanine sites (CpG sites) of genomic DNA. Several groups have proposed epigenetic clock algorithms and these differ mostly regarding the number and location of the CpG sites considered and the method used to assess the methylation status. Most epigenetic clocks are based on a large number of CpGs, e.g. as measured by DNAm microarrays. We have recently evaluated an epigenetic clock based on the methylation fraction of seven CpGs that were determined by methylation-sensitive single nucleotide primer extension (MS-SNuPE). This method is more cost-effective when compared to array-based technologies as only a few CpGs need to be examined. However, there is only little data on the correspondence in epigenetic age estimation using the 7-CpG clock and other algorithms. To bridge this gap, in this study we measured the 7-CpG DNAm age using two methods, via MS-SNuPE and via the MethylationEPIC array, in a sample of 1,058 participants of the Berlin Aging Study II (BASE-II), assessed as part of the GendAge study. On average, participants were 75.6 years old (SD: 3.7, age range: 64.9 - 90.0, 52.6% female). Agreement between methods was assessed by Bland-Altman plots. DNAm age was highly correlated between methods (Pearson's r=0.9) and Bland-Altman plots showed a difference of 3.1 years. DNAm age by the 7-CpG formula was 71.2 years (SD: 6.9 years, SNuPE) and 68.1 years (SD: 6.4 years, EPIC array). The mean of difference in methylation fraction between methods for the seven individual CpG sites was between 0.7 and 13 percent. To allow direct conversion between methods we developed an adjustment formula with a randomly selected training set of 529 participants using linear regression. After conversion of the Illumina data in a second and independent validation set, the adjusted DNAm age was 71.44 years (SD: 6.1 years, n=529). In summary, we found the results of DNAm clocks to be highly comparable. Furthermore, we developed an adjustment formula that allows for direct conversion of estimates between methods and enables one singular clock to be used in studies that employ either the Illumina or the SNuPE method.

Practical genotyping by single-nucleotide primer extension

Genome-wide association studies bring into focus specific genetic variants of particular interest for which validation is often sought in large numbers of study subjects. Practical alternative methods are limiting for the application of genotyping few variants in many samples. A common scenario is the need to genotype a study population at a specific high-value single nucleotide polymorphism (SNP) or insertion-deletion (indel). Not all such variants, however, will be amenable to assay by a given approach. We have adapted a single-nucleotide primer extension (SNuPE) method that may be tailored to genotype a required variant, and implemented it as a useful general laboratory protocol. We demonstrate reliable application for production-scale genotyping, successfully converting 87% of SNPs and indels for assay with an estimated error rate of 0.003. Our implementation of the SNuPE genotyping assay is a viable addition to existing alternative methods; it is readily customizable, scalable, and uses standard reagents and a laboratory plate reader.

Studying Bordetella pertussis Populations by Use of SNPeX, a Simple High-Throughput Single Nucleotide Polymorphism Typing Method

Large outbreaks of pertussis occur despite vaccination. A first step in the analyses of outbreaks is strain typing. However, the typing ofBordetella pertussis, the causative agent of pertussis, is problematic because the available assays are insufficiently discriminatory, not unequivocal, time-consuming, and/or costly. Here, we describe a single nucleotide primer extension assay for the study ofB. pertussispopulations, SNPeX (single nucleotide primer extension), which addresses these problems. The assay is based on the incorporation of fluorescently labeled dideoxynucleotides (ddNTPs) at the 3′ end of allele-specific poly(A)-tailed primers and subsequent analysis with a capillary DNA analyzer. Each single nucleotide polymorphism (SNP) primer has a specific length, and as a result, up to 20 SNPs can be determined in one SNPeX reaction. Importantly, PCR amplification of target DNA is not required. We selected 38 SNPeX targets from the whole-genome sequencing data of 74B. pertussisstrains collected from across the world. The SNPeX-based phylogenetic trees preserved the general tree topology ofB. pertussispopulations based on whole-genome sequencing, with a minor loss of details. We envisage a strategy whereby SNP types (SnpTs) are quickly identified with the SNPeX assay during an outbreak, followed by whole-genome sequencing (WGS) of a limited number of isolates representing predominant SnpTs and the incorporation of novel SNPs in the SNPeX assay. The flexibility of the SNPeX assay allows the method to evolve along with the pathogen, making it a promising method for studying outbreaks ofB. pertussisand other pathogens.