Virus Dataset Sample Info

> Dataset: 30409215 Search Result


Summary
Item Summary
Project 30409215
Virus Name HIV
Sample Number 86
Disease AIDS/HIV
Country UK
Data Link http://www.hiv.lanl.gov/content/sequence/HIV/NextGenArchive/Silver2018

Sample
ID Sample ID Age Gender Origin Detail
1 5 47 F UK View
2 7 60 M UK View
3 8 72 M UK View
4 9 41 F UK View
5 10 40 F UK View
6 11 35 M UK View
7 12 30 F UK View
8 14 30 M UK View
9 15 41 M UK View
10 16 50 F UK View
11 17 53 M UK View
12 18 44 M UK View
13 20 59 M UK View
14 22 19 F UK View
15 23 42 F UK View
16 24 20 F UK View
17 25 20 F UK View
18 26 45 M UK View
19 27 30 F UK View
20 28 59 M UK View
21 39 47 F UK View
22 41 37 F UK View
23 42 35 F UK View
24 43 49 M UK View
25 44 24 F UK View
26 45 56 M UK View
27 46 44 F UK View
28 47 45 F UK View
29 48 34 M UK View
30 49 24 F UK View
31 50 46 F UK View
32 51 40 F UK View
33 52 39 M UK View
34 53 44 M UK View
35 54 31 M UK View
36 56 38 M UK View
37 57 49 M UK View
38 58 67 F UK View
39 59 41 M UK View
40 60 25 M UK View
41 65 47 M UK View
42 66 67 M UK View
43 67 40 M UK View
44 69 17 M UK View
45 70 54 F UK View
46 71 44 F UK View
47 72 53 M UK View
48 74 26 M UK View
49 75 37 F UK View
50 76 56 F UK View
51 77 50 F UK View
52 78 51 M UK View
53 79 37 F UK View
54 80 56 F UK View
55 81 35 M UK View
56 82 51 F UK View
57 83 52 F UK View
58 84 49 F UK View
59 86 56 F UK View

Literature
Item Summary
PMID 30409215
Title Characterization of minority HIV-1 drug resistant variants in the United Kingdom following the verification of a deep sequencing-based HIV-1 genotyping and tropism assay.
Abstract BACKGROUND: The widespread global access to antiretroviral drugs has led to considerable reductions in morbidity and mortality but, unfortunately, the risk of virologic failure increases with the emergence, and potential transmission, of drug resistant viruses. Detecting and quantifying HIV-1 drug resistance has therefore become the standard of care when designing new antiretroviral regimens. The sensitivity of Sanger sequencing-based HIV-1 genotypic assays is limited by its inability to identify minority members of the quasispecies, i.e., it only detects variants present above ~ 20% of the viral population, thus, failing to detect minority variants below this threshold. It is clear that deep sequencing-based HIV-1 genotyping assays are an important step change towards accurately monitoring HIV-infected individuals. METHODS: We implemented and verified a clinically validated HIV-1 genotyping assay based on deep sequencing (DEEPGEN) in two clinical laboratories in the United Kingdom: St. George's University Hospitals Healthcare NHS Foundation Trust (London) and at NHS Lothian (Edinburgh), to characterize minority HIV-1 variants in 109 plasma samples from ART-naive or -experienced individuals. RESULTS: Although subtype B HIV-1 strains were highly prevalent (44%, 48/109), most individuals were infected with non-B subtype viruses (i.e., A1, A2, C, D, F1, G, CRF02_AG, and CRF01_AE). DEEPGEN was able to accurately detect drug resistance-associated mutations not identified using standard Sanger sequencing-based tests, which correlated significantly with patient's antiretroviral treatment histories. A higher proportion of minority PI-, NRTI-, and NNRTI-resistance mutations was detected in NHS Lothian patients compared to individuals from St. George's, mainly M46I/L and I50 V (associated with PIs), D67 N, K65R, L74I, M184 V/I, and K219Q (NRTIs), and L100I (NNRTIs). Interestingly, we observed an inverse correlation between intra-patient HIV-1 diversity and CD4(+) T cell counts in the NHS Lothian patients. CONCLUSIONS: This is the first study evaluating the transition, training, and implementation of DEEPGEN between three clinical laboratories in two different countries. More importantly, we were able to characterize the HIV-1 drug resistance profile (including minority variants), coreceptor tropism, subtyping, and intra-patient viral diversity in patients from the United Kingdom, providing a rigorous foundation for basing clinical decisions on highly sensitive and cost-effective deep sequencing-based HIV-1 genotyping assays in the country.