评估HIV分子流行病学中模拟测序数据的传播归因风险
Fabrícia F Nascimento1, Sanjay R Mehta2, Susan J Little2
1MRC Centre for Global Infectious Disease Analysis and the Department of Infectious Disease Epidemiology, Imperial College London, London, UK.
AIDS (London, England)
|December 21, 2023
概括
使用共识序列的HIV分子流行病学 (ME) 很少确定直接传播来源. 下一代测序 (NGS) 更准确,但仅用于很小比例的传输事件,具有潜在的错误阳性.
科学领域:
- 流行病学 流行病学
- 遗传学 是一个遗传学.
- 公共卫生 公共卫生
背景情况:
- 艾滋病毒分子流行病学 (ME) 分析了序列和个人数据,以了解艾滋病毒的传播.
- ME引发了人们对识别传播源的担忧,可能导致耻辱或起诉.
- 这项研究使用模拟的HIV遗传测序数据评估了与ME相关的风险.
研究的目的:
- 通过HIV分子流行病学来评估识别传播源的风险.
- 为了比较共识和下一代测序 (NGS) 在推断直接艾滋病毒传播事件的准确性.
主要方法:
- 基于圣地亚哥数据的男性与男性发生性关系的模拟社交网络.
- 模拟的共识和NGSHIV序列数据.
- 计算了感染者概率,并使用了植物扫描仪进行源归因分析.
主要成果:
- 协商一致的序列分析显示,无论采样深度如何,正确推断直接传输来源的风险非常低.
- 在NGS分析中,只有6.5%的推断对准确地确定了传输来源.
- 国家统计系统分析还揭示了假阳性传输,表明没有观察到的中介机构.
结论:
- 共识序列在识别直接艾滋病毒传播对中提供了有限的信心,但对于人口研究仍然有价值.
- NGS数据为直接传输对提供了更准确的来源归因,尽管适用于分析的一小部分案例.
- 在识别艾滋病毒传播源时,ME方法的准确性和局限性需要仔细考虑.
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