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相关概念视频

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

12.4K
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...
12.4K
Gene-Environment Interactions01:20

Gene-Environment Interactions

249
Gene expression is a dynamic process that is significantly influenced by environmental factors. This interaction underlies the complex nature of biological development and the phenotypic differences observed among individuals, even among those with identical genetic makeups. Factors such as radiation, temperature, behavior, nutrition, and stress play pivotal roles in determining how genes are expressed. The concept of the reaction range is central to understanding this interaction. It posits...
249
Epistasis Analysis01:09

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
Human Genetics01:28

Human Genetics

531
Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
The complex relationship between genetics and psychology is observable through common biological components such...
531
Regulation of Expression at Multiple Steps01:23

Regulation of Expression at Multiple Steps

869
The gene expression in cells is regulated at different stages: (i) transcription, (ii) RNA processing, (iii) RNA localization, and (iv) translation. Transcriptional regulation is mediated by regulatory proteins such as transcription factors, activators, or repressors—these control gene expression by initiating or inhibiting the transcription of genes. Once a precursor or pre-mRNA is produced, it undergoes post-transcriptional modification, including 5' capping, splicing, and the...
869
Pleiotropy01:33

Pleiotropy

39.7K
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,...
39.7K

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相关实验视频

Updated: Jun 4, 2025

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
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同表达范围的关联研究将基因调节的相互作用与复杂的特征联系起来.

Mykhaylo M Malakhov1, Wei Pan1

  • 1Division of Biostatistics and Health Data Science, School of Public Health, University of Minnesota, Minneapolis, MN, USA.

medRxiv : the preprint server for health sciences
|December 23, 2024
PubMed
概括

我们开发了一种新方法,即共同表达全局关联研究 (COWAS),以找到与复杂疾病相关的基因和蛋白质相互作用. 这种方法确定了几对基因或蛋白质如何通过它们的共同表达影响诸如胆固醇水平和神经退行性疾病等特征.

科学领域:

  • 遗传学 是一个遗传学.
  • 蛋白质组学是指蛋白质组学.
  • 系统生物学 系统生物学

背景情况:

  • 像TWAS/PWAS这样的传统方法可以识别影响疾病风险的基因/蛋白质,但忽略了共同表达和相互作用效应.
  • 了解分子相互作用对于全面了解对复杂特征的遗传影响至关重要.

研究的目的:

  • 引入共表达全关联研究 (COWAS) 方法,通过它们的基因调节共表达来识别与复杂特征相关的基因/蛋白质对.
  • 解决遗传关联研究中忽视相互作用效应的现有方法的局限性.

主要方法:

  • 牛牛模型的基因调节表达和共同表达.
  • 它测试了假定的共同表达和特征之间的关联,控制了直接影响.
  • 该方法应用于英国生物银行血蛋白质组数据.

主要成果:

  • 确定了许多与胆固醇水平,阿尔茨海默病和帕金森病相关的相互作用蛋白质对.
  • 证明蛋白质共同表达可以影响复杂的特征,即使单个蛋白质没有显著的影响.
  • 展示了COWAS在分子网络中区分直接和相互作用效应的能力.

结论:

  • 牛为分析与复杂特征相关的基因调节共表达提供了一个新的框架.

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相关实验视频

Last Updated: Jun 4, 2025

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
08:27

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An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
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An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

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Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration
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Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration

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  • 该方法增强了我们对基因对疾病影响的基础分子网络的理解.
  • COWAS揭示了在复杂疾病的遗传研究中考虑蛋白质与蛋白质相互作用的重要性.