基因组工具用于消除后麻疹分子流行病学,使用2018-2020年加拿大监测数据
Joanne Hiebert1, Vanessa Zubach1, Helene Schulz1
1Measles, Mumps and Rubella Unit, National Microbiology Laboratory Branch, Public Health Agency of Canada, JC Wilt Infectious Diseases Research Centre, Winnipeg, MB, Canada.
Frontiers in microbiology
|December 4, 2024
概括
麻疹病毒 (MeV) 的全基因组测序 (WGS-t) 在加拿大加强了疫情调查. 这种先进的测序证实了进口,并确定了以前未被识别的疫情,改善了麻疹监测.
科学领域:
- 病毒学和分子流行病学.
- 传染病监测 传染病监测
- 公共卫生基因组学
背景情况:
- 消除麻疹病毒 (MeV) 需要强有力的监测,包括追踪循环的菌株.
- 由于基因型多样性减少,标准化测序 (N450) 不足以进行全面的菌株表征.
- 增强的基因组数据对于证实流行病学发现和识别传播差距至关重要.
研究的目的:
- 评估MeV测序工具的实用性,包括全基因组测序 (WGS-t),用于加拿大的麻疹疫情调查.
- 将基因组数据与传统的流行病学调查进行比较,以提高准确性和完整性.
- 识别以前未被识别的麻疹疫情和传播链.
主要方法:
- 应用MeV测序工具:N450,MF-NCR和WGS-t对加拿大三年来麻疹病例的临床标本.
- 对序列数据的系统分析,包括通过WGS-t.t.采样树 (BEAST) 的贝叶斯进化分析.
- 将基因组研究结果与流行病学数据相结合,用于疫情调查.
主要成果:
- 通过WGS-t和其他测序方法,成功地从大量报告的麻疹病例中获得了数据.
- 贝叶斯分析证实了多次进口占主导地位的MeV谱系 (B3和D8).
- 基因组分析证实了16个疫情中的13个,揭示了两个疫情的扩散,并确定了三个以前未被识别的疫情,其中一个由于缺乏WGS-t数据而未解决.
结论:
- 麻疹WGS-t数据显著证实并扩展了传统的流行病学爆发调查.
- 将WGS-t与流行病学数据结合起来对于全面的麻疹爆发调查至关重要,特别是在消除环境中.
- 增强的基因组监测加强了检测和应对麻疹传播事件的能力.
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