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相关概念视频

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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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...
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TWAS atlas 2.0:一个更新的数据资源,用于转录组范围的关联研究.

Hao Gao1,2,3, Congfan Bu1,2, Si Zheng4,5

  • 1National Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.

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概括

通过整合更多的数据和分析工具,TWAS Atlas 2.0 增强了基因特征关联发现. 这种资源有助于研究人员了解基因表达.

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科学领域:

  • 遗传学 是一个遗传学.
  • 生物信息学是一种生物信息学.
  • 系统生物学 系统生物学

背景情况:

  • 全转录组关联研究 (TWAS) 整合了GWAS和eQTL数据,以识别与特征相关的基因.
  • TWAS Atlas是一个精心策划的资源,用于分析基因特征关联.
  • 之前的版本有助于基因特征关联分析.

研究的目的:

  • 以最新的TWAS发现和分析能力更新和扩展TWAS Atlas资源.
  • 加强对复杂特征的基因特征关联的整合和分析.
  • 为研究人员提供先进的工具来探索特征的遗传调节.

主要方法:

  • 策划并整合了来自文学的最新TWAS结果.
  • 整合了GWAS数据集,用于在各种表型中扩展TWAS分析.
  • 通过文献信息提取来增强知识图.
  • 开发了多维交互式分析模块 (功能丰富,孟德尔随机化,局部化,精细映射).

主要成果:

  • 现在TWAS Atlas 2.0包括676,198个基因特征关联,涵盖590个特征和24,870个基因.
  • 显著增强知识图表,提高了可用性和分析能力.
  • 新的交互式模块可以全面探索因果基因特征关系.
  • 扩大了表型覆盖范围,并将基因特征关联数量增加了60%以上.

结论:

  • TWAS Atlas 2.0是一个显著增强的资源,用于探索基因特征关联.
  • 更新后的平台为了解复杂特征的遗传基础提供了强大的工具.
  • 有助于更深入地了解基因表达及其在人类疾病和特征中的调节作用.