ArticleInternational journal of legal medicine2018
Comparative tolerance of two massively parallel sequencing systems to common PCR inhibitors.
Article in International journal of legal medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed, 34 citations in OpenAlex.
- Article
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- Advances and insights in the diagnosis of viral infections.Journal of nanobiotechnology · 2021Review
- Developments in forensic DNA analysis.Emerging topics in life sciences · 2021Review
- Analytical validation of an RI sample cartridge with the RapidHIT® ID system.International journal of legal medicine · 2021Article
- A novel forensic panel of 186-plex SNPs and 123-plex STR loci based on massively parallel sequencing.International journal of legal medicine · 2021Article
- Validation of a 6-Dye Short Tandem Repeat System: A Dry Kit With Lyophilized Amplification Reagent.Frontiers in genetics · 2021Article
- Inter-laboratory study on standardized MPS libraries: evaluation of performance, concordance, and sensitivity using mixtures and degraded DNA.International journal of legal medicine · 2020Article
- Assessment of impact of DNA extraction methods on analysis of human remain samples on massively parallel sequencing success.International journal of legal medicine · 2019Article
- Massively parallel sequencing techniques for forensics: A review.Electrophoresis · 2018Review
- Sequencing of 231 forensic genetic markers using the MiSeq FGx™ forensic genomics system - an evaluation of the assay and software.Forensic sciences research · 2018Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 2 countries.
Funding
Abstract
Human remains can be severely affected by the environment, and the DNA may be damaged, degraded, and/or inhibited. In this study, a DNA sample (at 1 ng DNA target input in triplicate) was spiked with five concentrations of five inhibitors (humic acid, melanin, hematin, collagen, and calcium) and sequenced with both the HID-Ion AmpliSeq™ Library Kit and ID panel on the Ion PGM™ System and the ForenSeq DNA Signature Prep Kit on the MiSeq FGx™. The objective of this study was to compare the baseline tolerance of the two sequencing chemistries and platforms to common inhibitors encountered in human remains recovered from missing person cases. The two chemistries generally were comparable but not always susceptible to the same inhibitors or at the same capacity. The HID-Ion AmpliSeq™ Library Kit and ID panel and the ForenSeq DNA Signature Prep Kit both were susceptible to humic acid, melanin, and collagen; however, the ForenSeq kit showed greater inhibition to melanin and collagen than the AmpliSeq™ kit. In contrast, the ForenSeq kit was resistant to the effects of hematin and calcium, whereas the AmpliSeq™ kit was highly inhibited by hematin. Short tandem repeats (STRs) and single nucleotide polymorphisms (SNPs) showed the same trend among inhibitors when using the ForenSeq kit. Generally, locus read depth, heterozygote allele balance, and the numbers of alleles typed were inversely correlated with increasing inhibitor concentration. The larger STR loci were affected more so by the presence of inhibitors compared to smaller STR amplicons and SNP loci. Additionally, it does not appear that sequence noise is affected by the inhibitors. The noise percentage, however, does increase as the inhibitor concentration increases, due to the decrease in locus read depth and not likely because of chemistry effects.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.