Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

14.4K
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...
14.4K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

A CRISPR/Cas12a-based reverse transcription multiple cross displacement amplification technique for sensitive, rapid, and highly specific detection of <i>human enterovirus A71</i> in clinical application.

Frontiers in microbiology·2026
Same author

Loss of STMP1 Perturbs Mitochondrial Cristae and Drives Cellular Inflammation and Heart Failure.

Circulation·2026
Same author

Mitochondria directly interact with the nuclear pore complex.

Nature·2026
Same author

MAPK Signaling Pathway May Directly Regulate the Expression of Hydrophobin Genes in <i>Flammulina filiformis</i>.

Journal of fungi (Basel, Switzerland)·2026
Same author

mRNA medicine for cardiovascular disease.

Nature cardiovascular research·2026
Same author

Comparing bulk and single-cell methodologies and models to profile gene expression, chromatin accessibility and regulatory links in endothelial cells treated with TNFα.

bioRxiv : the preprint server for biology·2026

相关实验视频

Updated: Sep 20, 2025

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
05:01

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

Published on: July 1, 2020

3.4K

解构GWAS图书馆:下一代的GWAS

Weirui Zhang1,2, Svenja Koslowski3,4, Marouane Benzaki3,4

  • 1Cardiovascular Research Institute, National University Health System, Singapore.

Physiological reviews
|May 23, 2025
PubMed
概括

全基因组关联研究 (GWAS) 通过识别遗传风险因素来推进心血管疾病研究. 通过新技术优先考虑这些变体,加速了针对心脏病的向治疗方法的开发.

关键词:
在GWAS中,GWAS就是GWAS.这是心脏病,心脏病.表观遗传学是指表观遗传学.遗传学 遗传学 遗传学 是一个没有编码的变体.

更多相关视频

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

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

Published on: July 27, 2021

3.8K
Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration
04:41

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

Published on: January 9, 2020

19.1K

相关实验视频

Last Updated: Sep 20, 2025

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
05:01

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

Published on: July 1, 2020

3.4K
Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
08:27

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

Published on: July 27, 2021

3.8K
Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration
04:41

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

Published on: January 9, 2020

19.1K

科学领域:

  • 遗传学 是一个遗传学.
  • 心血管医学 心血管医学
  • 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) 已经确定了许多与心血管特征和疾病相关的遗传变异.
  • 这些研究显著提高了我们对心脏病遗传学的理解,并确定了患者的风险因素.
  • 然而,许多已确定的变异的功能机制仍然未被阐明,限制了它们的治疗潜力.

研究的目的:

  • 审查心脏病中的GWAS和优先考虑疾病相关变异的方法.
  • 要突出变种识别和随后的治疗开发的例子.
  • 讨论当前的挑战和该领域的未来方向.

主要方法:

  • 对心血管疾病中的GWAS发现的概述.
  • 描述生物信息学和实验方法的变异优先级.
  • 案例研究说明了特定变体的识别及其在治疗开发中的作用.

主要成果:

  • GWAS已经揭示了心血管疾病的大量遗传结构.
  • 确定优先级的工具,包括高通量查和机器学习,有助于识别致病变体.
  • 几项研究已经成功地将变异发现转化为新的治疗策略.

结论:

  • 尽管取得了进展,但大量GWAS识别的变种需要功能验证.
  • 先进的计算和实验方法对于发现疾病途径至关重要.
  • 应对当前的研究挑战将加速将遗传发现转化为有效的心血管疗法.