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Analysis of unusual and signature APOBEC-mutations in HIV-1 pol next-generation sequences
被引:31
|作者:
Tzou, Philip L.
[1
]
Pond, Sergei L. Kosakovsky
[2
]
Avila-Rios, Santiago
[3
]
Holmes, Susan P.
[4
]
Kantor, Rami
[5
]
Shafer, Robert W.
[1
]
机构:
[1] Stanford Univ, Dept Med, Div Infect Dis, Stanford, CA 94305 USA
[2] Temple Univ, Inst Genom & Evolutionary Med, Philadelphia, PA 19122 USA
[3] Natl Inst Resp Dis, Ctr Res Infect Dis, Mexico City, DF, Mexico
[4] Stanford Univ, Dept Stat, Stanford, CA 94305 USA
[5] Brown Univ, Dept Med, Div Infect Dis, Providence, RI 02912 USA
来源:
基金:
美国国家卫生研究院;
关键词:
IMMUNODEFICIENCY-VIRUS TYPE-1;
RESISTANCE;
PROTEASE;
D O I:
10.1371/journal.pone.0225352
中图分类号:
O [数理科学和化学];
P [天文学、地球科学];
Q [生物科学];
N [自然科学总论];
学科分类号:
07 ;
0710 ;
09 ;
摘要:
Introduction At low mutation-detection thresholds, next generation sequencing (NGS) for HIV-1 genotypic resistance testing is susceptible to artifactual detection of mutations arising from PCR error and APOBEC-mediated G- to-A hypermutation. Methods We analyzed published HIV-1 pol Illumina NGS data to characterize the distribution of mutations at eight NGS mutation detection thresholds: 20%, 10%, 5%, 2%, 1%, 0.5%, 0.2%, and 0.1%. At each threshold, we determined proportions of amino acid mutations that were unusual (defined as having a prevalence < 0.01% in HIV-1 group M sequences) or signature APOBEC mutations. Results Eight studies, containing 855 samples, in the NCBI Sequence Read Archive were analyzed. As detection thresholds were lowered, there was a progressive increase in the proportion of positions with usual and unusual mutations and in the proportion of all mutations that were unusual. The median proportion of positions with an unusual mutation increased gradually from 0% at the 20% threshold to 0.3% at the 1% threshold and then exponentially to 1.3% (0.5% threshold), 6.9% (0.2% threshold), and 23.2% (0.1% threshold). In two of three studies with available plasma HIV-1 RNA levels, the proportion of positions with unusual mutations was negatively associated with virus levels. Although the complete set of signature APOBEC mutations was much smaller than that of unusual mutations, the former outnumbered the latter in one-sixth of samples at the 0.5%, 1%, and 2% thresholds. Conclusions The marked increase in the proportion of positions with unusual mutations at thresholds below 1% and in samples with lower virus loads suggests that, at low thresholds, many unusual mutations are artifactual, reflecting PCR error or G-to-A hypermutation. Profiling the numbers of unusual and signature APOBEC pol mutations at different NGS mutation detection thresholds may be useful to avoid selecting a threshold that is too low and poses an unacceptable risk of identifying artifactual mutations.
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