通过动态抽样进行保护隐私的联合全基因组关联研究
Xinyue Wang1, Leonard Dervishi2, Wentao Li3
1Management Science and Information Systems Department, Rutgers University, New Brunswick, NJ 07102, United States.
Bioinformatics (Oxford, England)
|October 19, 2023
概括
这项研究为保护隐私的协作全基因组关联研究 (GWAS) 提供了一个有效的框架. 该方法降低了计算成本,使得在不损害患者数据保密性的情况下,能够在各机构进行准确的遗传发现.
科学领域:
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
背景情况:
- 全基因组关联研究 (GWAS) 对于识别与疾病相关的遗传变异至关重要.
- 跨机构的协作GWAS提供了强大的见解,但在数据隐私和安全方面面临挑战.
- 现有的加密方法用于安全的数据共享往往是计算密集型,限制了他们在大规模研究中的实际使用.
研究的目的:
- 为在分布式数据集上进行协作GWAS开发一个高效和保护隐私的框架.
- 解决跨机构遗传研究中数据保密,计算开销和结果准确性之间的权衡问题.
- 为了实现大规模的协作GWAS,而不会影响患者的隐私.
主要方法:
- 提出了一种新的两步策略,以尽量减少通信和计算开销.
- 使用代和采样技术来确保GWAS结果的准确性.
- 该框架使用后勤回归来实例化,用于基因标记物和表型之间的关联分析.
- 该方法在两个真实基因组数据集上进行评估,评估对异质性和偏差分布的稳定性.
主要成果:
- 拟议的框架有效地进行协作GWAS,同时保持数据隐私.
- 这些方法的准确性与非私人方法相美.
- 经验结果证实了大规模合作基因研究框架的效率和适用性.
- 在各种实验环境中显示出稳定性,包括研究间异质性和倾斜的表型.
结论:
- 开发的框架为保护隐私的协作GWAS提供了实际解决方案.
- 这种方法促进了跨越机构界限的安全和高效的遗传数据分析.
- 该方法对推进大规模的合作基因组研究和发现具有重大前景.
相关概念视频
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
Single Nucleotide Polymorphisms-SNPs
15.2K
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,...
15.2K
Cluster Sampling Method
12.0K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
12.0K


