绘制表观遗传基因变异动态图:对非洲和欧洲人口的频率,功能影响和特征关联进行比较分析
Musalula Sinkala1, Gaone Retshabile2, Phelelani T Mpangase3
1Division of Computational Biology, Department of Integrative Biomedical Sciences, Institute of Infectious Diseases and Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa. musalula.sinkala@uct.ac.za.
Scientific reports
|March 6, 2026
概括
表观遗传基因中的遗传变异在非洲和欧洲祖先之间存在显著差异. 这些差异影响疾病易感性和特征关联,突出显示了祖先在遗传研究中的重要性.
科学领域:
- 遗传学 是一个遗传学.
- 表观遗传学 在表观遗传学中,表观遗传学是指表观遗传学.
- 人口遗传学 人口遗传学
背景情况:
- 表观遗传修饰调节基因表达,生物特征和疾病发展.
- 表观遗传基因的变异对疾病易感性至关重要.
- 这些变异的等位基因频率在祖先种群之间可能有所不同.
研究的目的:
- 在英国生物银行内分析表观遗传基因变异频率,相关特征和非洲和欧洲祖先的功能影响.
- 调查异位基因频率差异如何影响跨祖先的遗传关联研究.
主要方法:
- 来自英国生物银行的综合数据集的分析.
- 非洲和欧洲祖先的个体之间的表观遗传基因变异频率的比较.
- 将变体映射到报告的特征和疾病中.
- 评估影响DNA甲基化,染色质可访问性和基因表达的定量特征位点 (QTLs).
主要成果:
- 在非洲和欧洲祖先之间观察到表观遗传基因变异的显著频率差异 (88.4%).
- 这些变体与许多特征和疾病有关.
- 代基频率差异可能会影响统计能力和关联检测,特别是在样本大小不平衡的情况下.
- 与特征相关的变异对影响DNA甲基化,染色质可访问性和基因表达的QTLs进行了丰富.
- 甲基化QTLs占影响基因表达的变异的71.2%.
- 与生物标志物特征相关的变体显示高相关性.
结论:
- 与特征相关的表观遗传基因变异在非洲和欧洲人群之间表现出不同的等位基因频率.
- 这些变体对QTLs进行了丰富,强调了它们的功能意义.
- 表观遗传变异的祖先特异性差异对于理解特征关联和疾病易感性至关重要.
相关概念视频
Principles of Pharmacogenetics: Types of Genetic Variants
67
The human genome is over 99.9% identical between individuals, yet genetic differences exist at millions of bases. The human genome contains approximately 3 million variant positions per individual, many of which are heterozygous, contributing to genetic diversity and individual traits. Genetic variations include single-nucleotide polymorphisms (SNPs), insertions, deletions, and copy number variations (CNVs).SNPs, the most common variation, involve single-base changes in DNA. These can be...
67
Pharmacogenetic Phenotypes: Alterations in Pharmacokinetics, Drug Targets and Biologic Milieu
76
Genetic variations significantly influence drug response through pharmacokinetics, receptor interactions, and biologic milieu modifications. Pharmacokinetic alterations impact drug metabolism and clearance, affecting efficacy and toxicity. Variants in drug-metabolizing enzymes, such as CYP2C9 and CYP2C19, alter drug activation and elimination. For example, CYP2C9 loss-of-function variants require lower warfarin doses to prevent excessive bleeding, while CYP2C19 variants reduce clopidogrel...
76
Comparing Copy Number Variations and SNPs
18.9K
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%...
18.9K
Genome-wide Association Studies-GWAS
16.2K
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...
16.2K
Gene Evolution - Fast or Slow?
8.3K
The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
In contrast, regions which code...
8.3K
Epistasis Analysis
6.0K
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...
6.0K


