2019
DOI: 10.1016/j.meegid.2019.01.016
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A systematic, deep sequencing-based methodology for identification of mixed-genotype hepatitis C virus infections

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Cited by 7 publications
(5 citation statements)
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“…NGS identified novel subtypes in 9/1038 (0.9%) samples. The low frequency of recombinants and mixtures (3/1038, 0.3% each) confirms findings in the literature [15][16][17][18].…”
Section: Discussionsupporting
confidence: 90%
“…NGS identified novel subtypes in 9/1038 (0.9%) samples. The low frequency of recombinants and mixtures (3/1038, 0.3% each) confirms findings in the literature [15][16][17][18].…”
Section: Discussionsupporting
confidence: 90%
“…It should be mentioned that with standard PCR and Sanger sequencing, parasites at much higher parasitemia (quantity) may be amplified preferentially, masking the fact that other parasites are present. In order to overcome this problem in future studies, deep amplicon sequencing would provide a possibility to accurately determine the percentage of two or more pathogen lineages in samples with mixed infections (Olmstead et al 2019).…”
Section: Discussionmentioning
confidence: 99%
“…A recent study comparing three different deep sequencing methods was able to determine the presence of mixed infections in 1 out of 143 samples analyzed, even when many reads detected at 1–2% mapped to different genotypes. However, most of those reads did not pass the mixed-infection cut-off criteria [ 42 ]. Our NGS results indeed showed nucleotide changes present in very low frequencies (1–1.9%), which were later confirmed by cloning (sample 1021, see Figure 1 ), which highlights the importance of combining both methods for accurately detecting mixed infections characterized by a large disparity in the abundance of the major and minor genotypes.…”
Section: Discussionmentioning
confidence: 99%
“…Next-generation sequencing methods offer a promising alternative to traditional sequencing approaches in the study of viral genetic diversity. These advanced techniques provide a comprehensive view of viral populations, enabling the detection of mixed infections and the identification of recombinant variants, even when present as minority or low-frequency variants [ 39 , 40 , 41 , 42 ].…”
Section: Introductionmentioning
confidence: 99%