简化了GWAS位点中的因果基因鉴定.
Marijn Schipper1, Jacob Ulirsch2,3,4, Danielle Posthuma1,5
1Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
medRxiv : the preprint server for health sciences
|August 12, 2024
概括
我们开发了CALDERA,这是一个新的工具,用于优先考虑通过全基因组关联研究 (GWAS) 识别的与疾病相关的基因. 卡尔德拉的性能优于现有方法,有助于发现新型药物标.
科学领域:
- 遗传学 遗传学 是一个
- 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) 识别与疾病相关的遗传变异,但很难在这些位置内确定因果基因.
- 当前的基因优先级工具通常依赖于复杂的模型,可能包含偏差.
- 准确的基因优先级对了解疾病机制和开发向治疗至关重要.
研究的目的:
- 开发和验证一个名为CALDERA的新型,数据驱动的基因优先级工具.
- 解决现有工具的局限性,包括复杂的模型和潜在的偏差.
- 改进在GWAS基位中因果基因的识别,以发现潜在的药物标.
主要方法:
- 从406个GWAS位点构建了一个由406个GWAS位点构建的因果基因的精选真相集.
- 开发了CALDERA,使用L1规范化的后勤回归模型,并结合了混纠正.
- 与FLAMES,L2G和cS2G对比CALDERA,使用三个独立的数据集解决了GWAS位置.
主要成果:
- 卡尔德拉表现出卓越的表现,在三个独立基准测试数据集中的两个中表现优于现有方法.
- 卡尔德拉成功地优先考虑了具有预期生物特性的基因,例如高突变不耐受性 (pLI > 90%).
- 该工具显示出与突变不耐受性具有统计学意义的关联 (OR = 1.751,P = 8.45×10-3).
结论:
- 卡尔德拉提供了一种强大而可靠的解决方案,可以在GWAS loci.内优先考虑潜在的因果基因.
- 该工具的性能和识别生物相关基因的能力表明它在遗传研究中的实用性.
- 卡尔德拉可能有助于识别新的基因驱动药物标,推进精准医学.
相关概念视频
Genome-wide Association Studies-GWAS
13.3K
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...
13.3K
Single Nucleotide Polymorphisms-SNPs
14.9K
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,...
14.9K
Epistasis Analysis
4.9K
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...
4.9K
Incomplete Dominance
22.2K
Gregor Mendel's work (1822 - 1884) was primarily focused on pea plants. Through his initial experiments, he determined that every gene in a diploid cell has two variants called alleles inherited from each parent. He suggested that amongst these two alleles, one allele is dominant in character and the other recessive. The combination of alleles determines the phenotype of a gene in an organism.
22.2K
Comparing Copy Number Variations and SNPs
17.7K
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%...
17.7K


