使用基因组数据推断传染病爆发的地理来源的方法和挑战
Zhiyuan Chen1, Philippe Lemey2, Hongjie Yu1
1School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China.
The Lancet. Microbe
|December 2, 2023
概括
基因组数据和植物地理学方法揭示了传染病的传播途径和起源. 本综述详细介绍了使用遗传和流行病学数据追踪疫情源的方法.
科学领域:
- 基因组流行病学基因组流行病学
- 计算生物学是一种计算生物学.
- 传染病建模传染病建模
背景情况:
- 基因组数据对于了解传染病爆发越来越重要.
- 植物地理学方法整合了基因组和流行病学数据,以追踪病原体的分散.
- 了解传播动态和地理来源对于疫情控制至关重要.
研究的目的:
- 为重建疫情的地理来源提供了植物地理学方法的概述.
- 讨论在为疫情调查生成和分析大规模基因组数据方面的挑战.
- 突出基因组数据在增强疾病起源分子调查中的作用.
主要方法:
- 对原始地理方法的审查,包括祖先特征重建和结构化人口模型 (结构化凝聚,出生死亡模型).
- 讨论与测序技术,监控,数据共享和分析框架相关的挑战.
- 综合流行病学和基因组数据用于空间传播推断.
主要成果:
- 遗传地理学方法有效地推断出遗传树的历史空间传播模式.
- 结构化种群模型为分析病原体扩散提供了强大的框架.
- 大规模的基因组数据生成提供了机遇和重大挑战.
结论:
- 通过植物地理学方法分析的基因组数据对于识别传染病爆发源至关重要.
- 解决数据生成和分析方面的挑战将进一步加强分子研究.
- 植物地理学显著提高了我们对疾病传播和起源的理解.
相关概念视频
Steps in Outbreak Investigation
133
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
133
Evolutionary Relationships through Genome Comparisons
5.8K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
5.8K
Genome-wide Association Studies-GWAS
13.5K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
GWAS does not require the identification of the target gene involved in...
13.5K
Genomics
36.4K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
36.4K
Single Nucleotide Polymorphisms-SNPs
15.1K
A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
15.1K
Genome Size and the Evolution of New Genes
8.0K
While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
8.0K


