GWAS SVatalog:一个可视化工具,以帮助精细地绘制具有结构变化的GWAS loci
Shalvi Chirmade1,2, Zhuozhi Wang1,2, Scott Mastromatteo1,2
1Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada.
Heredity
|November 7, 2025
概括
全基因组关联研究 (GWAS) 识别与特征相关的单核酸多态 (SNP). 一个名为GWAS SVatalog的新工具将结构变异 (SV) 与GWAS SNP联系起来,有助于理解特征关联和疾病病因.
科学领域:
- 基因组学就是基因组学.
- 人类遗传学 人类遗传学
- 生物信息学是一种生物信息学.
背景情况:
- 全基因组关联研究 (GWAS) 识别与表型特征相关的单核酸多态 (SNP).
- 许多具有GWAS意义的SNP位于非编码区域,因此很难确定它们的功能影响.
- 了解SNP是否标记其他变异,如结构变异 (SV),对于识别因果变异至关重要.
研究的目的:
- 开发GWAS SVatalog,这是一个开源的网络工具,用于计算和可视化SV和GWAS相关的SNP之间的链接不平衡 (LD).
- 将GWAS目录数据与来自全基因组序列的SV和SNP数据集成.
- 通过结合SVs来促进GWAS loci的精细映射.
主要方法:
- 开发了GWAS SVatalog,这是一个网络工具,将GWAS Catalog中的14,479种表型与LD数据集成在一起.
- 从101个全基因组长读序列中计算了35,732个SV和116,870个SNP之间的LD.
- 分析了具有监管特征的SV,CpG岛屿和促销商的重叠.
主要成果:
- GWAS SVatalog是为了在人类基因组中将SVs和GWAS SNP联系起来而创建的.
- 不同的SV类型显示了与监管要素的不同重叠.
- 不太直接被SNP标记的SV经常重叠CpG岛屿和促进者.
结论:
- GWAS SVatalog有助于识别可能解释GWAS位点的SVs,这些位点可以解释铁含量,折射误差和阿尔茨海默病等特征.
- 该工具通过包括结构变化来推进GWAS loci的精细映射.
- 通过将常见的SV与表型联系起来,加速对疾病病因学的理解.
相关概念视频
01:11Genome-wide Association Studies-GWAS
15.3K
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...
15.3K
02:54Evolutionary Relationships through Genome Comparisons
6.8K
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...
6.8K
02:26Comparing Copy Number Variations and SNPs
18.5K
Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
18.5K