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相关概念视频

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

13.3K
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...
13.3K
Epistasis Analysis01:09

Epistasis Analysis

5.0K
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...
5.0K
Background and Environment Affect Phenotype02:27

Background and Environment Affect Phenotype

6.5K
Although the genetic makeup of an organism plays a major role in determining the phenotype, there are also several environmental factors, such as temperature, oxygen availability, presence of mutagens, that can alter an organism’s phenotype.
An example of how genetic background affects phenotype can be seen in horses. The Extension gene in horses is responsible for their coat color. A wild-type gene (EE) produces black pigment in the coat, while a mutant gene (ee) produces red pigment. A...
6.5K
Protein Networks02:26

Protein Networks

3.9K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
3.9K
Polygenic Traits01:18

Polygenic Traits

65.7K
When more than one gene is responsible for a given phenotype, the trait is considered polygenic. Human height is a polygenic trait. Studies have uncovered hundreds of loci that influence height, and there are believed to be many more. Due to the high number of genes involved, as well as environmental and nutritional factors, height varies significantly within a given population. The distribution of height forms a bell-shaped curve, with relatively few individuals in the population at the...
65.7K
Genetic Lingo01:11

Genetic Lingo

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Overview
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相关实验视频

Updated: Jun 26, 2025

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
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Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

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一种基于基因型和表型网络的多种表型关联研究的新方法.

Xuewei Cao1, Shuanglin Zhang1, Qiuying Sha1

  • 1Department of Mathematical Sciences, Michigan Technological University, Houghton, Michigan, United States of America.

PLoS genetics
|May 10, 2024
PubMed
概括

本研究引入了基因型和表型网络 (GPN),用于在全基因组关联研究 (GWAS) 中联合分析多个特征. 通过聚类表型,GPN增强了检测遗传关联的能力,提高了我们对类型的理解.

科学领域:

  • 遗传学 遗传学 是一个
  • 生物信息学是一种生物信息学.
  • 网络科学 网络科学

背景情况:

  • 在全基因组关联研究 (GWAS) 中,对多种表型的联合分析对于理解复杂特征和疾病中的性质至关重要.
  • 基于网络的方法为各种生物组织层面的表型和基因型之间的关系提供了新的见解.

研究的目的:

  • 开发一种新的基因型和表型网络 (GPN),用于整合多种表型数据.
  • 应用网络社区检测用于表型聚类和联合协会测试.
  • 通过结合表型网络信息来增强遗传关联研究的力量.

主要方法:

  • 建立一个双边签名网络 (GPN),将表型和基因型联系起来.
  • 应用社区检测算法来将表型分成网络模块.
  • 在网络模块内对单核酸多态 (SNP) 中多个表型的联合关联测试.
  • 使用模拟和分析72个复杂特征的验证来自英国生物银行.

主要成果:

  • GPN框架有效地整合了定量和定性表型,即使有不平衡的病例控制比率.
  • 与传统方法相比,基于网络模块的表型聚类显著提高了多种表型关联测试的功率.
  • 英国生物库的分析表明了GPN方法的增强力量.

更多相关视频

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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An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
10:17

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

Published on: November 3, 2010

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相关实验视频

Last Updated: Jun 26, 2025

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

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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

Published on: July 27, 2021

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An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
10:17

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

Published on: November 3, 2010

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结论:

  • 拟议的GPN为研究复杂特征和疾病背后的遗传结构提供了一个新的框架.
  • 通过GPN将遗传信息纳入表型聚类中,可以改善多种表型关联研究.
  • 这种方法扩大了对遗传架构,诊断,基因和类型的理解.