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相关概念视频

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

15.3K
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...
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Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

252
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
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Introduction to GIS01:28

Introduction to GIS

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Geographic Information Systems (GIS) are tools for storing, analyzing, and displaying spatial data alongside related attributes. Unlike traditional information systems that address general queries, GIS incorporates spatial components, enabling users to answer "where" and "how far." For example, GIS can process housing data linked to geographic locations like zip codes, allowing insights into population density or housing distribution through thematic maps.GIS integrates technologies such as...
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Manipulation and Analysis01:21

Manipulation and Analysis

278
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
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Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

6.8K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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相关实验视频

Updated: Jan 11, 2026

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

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空间GWAS Atlas:一个知识库,用于解码复杂特征的遗传结构,以空间分辨率.

Hongen Kang1, Xiaoxi Jing1, Jiecong Lin1

  • 1Changping Laboratory, Beijing 102206, China.

Nucleic acids research
|November 17, 2025
PubMed
概括

空间GWAS地图集成了全基因组关联研究 (GWAS) 与空间转录组学 (ST) 来映射特征关联细胞. 这个资源揭示了疾病研究复杂特征的细胞和空间基础.

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

  • 基因组学就是基因组学.
  • 系统生物学 系统生物学
  • 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) 确定了与复杂特征相关的众多变异,主要是在具有组织特异性影响的非编码区域.
  • 这些遗传效应在组织架构中的空间分布不太清楚.
  • 空间转录学 (ST) 保存空间坐标,同时分析基因表达,使遗传效应的局部化.

研究的目的:

  • 引入空间GWAS地图,这是一个新的资源,将GWAS总结统计与ST数据集成在一起.
  • 在它们的空间上下文中以单细胞分辨率映射特征相关细胞.
  • 为了促进复杂特征的细胞和空间基础的剖析.

主要方法:

  • 3854个精心策划的GWAS数据集与635个跨物种,组织和平台的ST数据集的系统集成.
  • 利用空间转录学来将遗传关联信号与特定的细胞类型和组织内的位置联系起来.
  • 开发一个具有搜索,浏览和可视化功能的数据库.

主要成果:

  • 通过整合各种GWAS和ST数据,识别广泛的特征区域和特征点关联.
  • 证明将遗传影响映射到特定细胞和空间位置的能力.
  • 建立一个全面的资源,以探索在空间环境中的基因型-表型关系.

结论:

  • 空间GWAS地图是第一个系统整合GWAS和ST数据的资源,用于绘制特征相关细胞的地图.
  • 这本地图书使复杂特征的细胞和空间基础的高分辨率剖析成为可能.
  • 该资源支持机理学研究,治疗目标发现和精准医学.