属性相关基因是否聚集在基因网络中?
Hyun Jung Koo1,2, Wei Pan2
1School of Statistics, University of Minnesota, Minneapolis, Minnesota, USA.
Genetic epidemiology
|March 13, 2024
概括
遗传研究表明,与特征相关的基因聚集在网络中,验证了改善全基因组关联研究 (GWAS) 的关键假设. 这一发现支持使用基因网络来增强复杂疾病的遗传发现能力.
科学领域:
- 遗传学和基因组学 遗传学和基因组学
- 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) 确定与复杂的特征和疾病相关的遗传变异.
- 在GWAS中确定因果基因是具有挑战性的,因为链接不平衡 (LD) 和非编码区域.
- 基因网络方法假设特征相关基因集群,但这还没有经验验证.
研究的目的:
- 实证测试一种假设,即特征相关基因在基因网络中聚集在一起.
- 利用整体外因子测序 (WES) 数据直接识别特征相关基因.
- 评估基因网络近距离对于在遗传研究中优先考虑因果基因的有用性.
主要方法:
- 利用了来自英国生物银行 (UK Biobank) 的基于外体的关联统计数据,即全外体测序 (WES) 数据.
- 采用两种不同的基因网络类型来分析基因近距离.
- 将特征相关基因与在网络中随机选择的基因的接近程度进行比较.
主要成果:
- 发现特征相关基因在两个网络中相比随机基因组相对相近.
- 在经验上验证了基因网络为基因关联研究的方法的核心假设.
- 证明与特征相关的基因在生物网络中表现出显著的聚类行为.
结论:
- 这项研究证实,与特征相关的基因在基因网络中聚集在一起.
- 这种验证的假设可以被利用来增强全基因组关联研究 (GWAS) 的统计能力.
- 未来的GWAS分析可能会通过结合基因网络信息来使用不那么严格的p值值.
相关概念视频
Protein Networks
3.9K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
3.9K
Genome-wide Association Studies-GWAS
13.4K
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...
13.4K
Polygenic Traits
65.8K
When more than one gene is responsible for a given phenotype, the trait is considered polygenic. Human height is a polygenic trait. Studies have uncovered hundreds of loci that influence height, and there are believed to be many more. Due to the high number of genes involved, as well as environmental and nutritional factors, height varies significantly within a given population. The distribution of height forms a bell-shaped curve, with relatively few individuals in the population at the...
65.8K
Epistasis Analysis
5.0K
Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...
5.0K
Evolutionary Relationships through Genome Comparisons
5.7K
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...
5.7K
Pleiotropy
40.4K
Pleiotropy is the phenomenon in which a single gene impacts multiple, seemingly unrelated phenotypic traits. For example, defects in the SOX10 gene cause Waardenburg Syndrome Type 4, or WS4, which can cause defects in pigmentation, hearing impairments, and an absence of intestinal contractions necessary for elimination. This diversity of phenotypes results from the expression pattern of SOX10 in early embryonic and fetal development. SOX10 is found in neural crest cells that form melanocytes,...
40.4K


