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

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
Estimating Population Mean with Unknown Standard Deviation01:22

Estimating Population Mean with Unknown Standard Deviation

7.6K
In practice, we rarely know the population standard deviation. In the past, when the sample size was large, this did not present a problem to statisticians. They used the sample standard deviation s as an estimate for σ and proceeded as before to calculate a confidence interval with close enough results. However, statisticians ran into problems when the sample size was small. A small sample size caused inaccuracies in the confidence interval.
William S. Gosset (1876–1937) of the...
7.6K
Estimating Population Standard Deviation01:26

Estimating Population Standard Deviation

3.0K
When the population standard deviation is unknown and the sample size is large, the sample standard deviation s is commonly used as a point estimate of σ. However, it can sometimes under or overestimate the population standard deviation. To overcome this drawback, confidence intervals are determined to estimate population parameters and eliminate any calculation bias accurately. However, this only applies to random samples from normally distributed populations. Knowing the sample mean and...
3.0K
Genetic Variation01:25

Genetic Variation

258
Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
Genes exist in different versions called alleles,...
258
Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

58.0K
In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
58.0K
Distributions to Estimate Population Parameter01:26

Distributions to Estimate Population Parameter

4.0K
The accurate values of population parameters such as population proportion, population mean, and population standard deviation (or variance) are usually unknown. These are fixed values that can only be estimated from the data collected from the samples. The estimates of each of these parameters are sample proportion, the sample mean, and sample standard deviation (or variance). To obtain the values of these sample statistics, data are required that have particular distribution and central...
4.0K

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

Shared Genetic Architecture Between Kidney Function and Alzheimer Disease Across Ancestries.

medRxiv : the preprint server for health sciences·2026
Same author

Combining xQTL and genome-wide association studies from diverse populations improves druggable gene discovery.

Nature communications·2026
Same author

Improving causal effect estimation in multi-ancestry multivariable Mendelian randomization with transfer learning.

bioRxiv : the preprint server for biology·2025
Same author

Uncovering causal gene-tissue pairs and variants through a multivariate TWAS controlling for infinitesimal effects.

Nature communications·2025
Same author

Multi-ancestry genome-wide association analyses incorporating SNP-by-psychosocial interactions identify novel loci for serum lipids.

Translational psychiatry·2025
Same author

Combining xQTL and genome-wide association studies from ethnically diverse populations improves druggable gene discovery.

Research square·2025

相关实验视频

Updated: Jun 5, 2025

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

3.5K

使用GWAS总结数据对遗传高斯网络的估计.

Yihe Yang1, Noah Lorincz-Comi1, Xiaofeng Zhu1

  • 1Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, 10900 Euclid Ave, Cleveland, OH 44106, United States.

Biometrics
|December 10, 2024
PubMed
概括

我们开发了一种新方法,基因图估计 (EGG),以准确估计遗传网络. EGG纠正了遗传相关性估计中的偏差,更清楚地了解了表型依赖.

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.
  • 统计遗传学 统计遗传学

背景情况:

  • 遗传高斯网络揭示了表型之间的生物依赖.
  • 估计这些网络是具有挑战性的,因为从GWAS总结统计数据中估计的遗传相关性偏差,包括估计错误和类.

研究的目的:

  • 引入一种新的方法,基因图估计 (EGG),用于不偏见的遗传网络估计.
  • 提高对多种表型之间的生物依赖关系的理解.

主要方法:

  • 开发了基因图表估计 (EGG) 方法.
  • 利用多变量门德尔随机化的技术来消除估计错误和特异性类型偏差.
  • 将EGG应用于模拟和现实世界的遗传数据.

主要成果:

  • EGG成功地消除了传统遗传网络估计方法中存在的偏见.
  • 由EGG估计的遗传网络代表表型之间共享的生物贡献,取决于其他表型.
  • 通过模拟和真实数据分析,EGG与传统估计器相比表现出更高的疗效.

结论:

  • EGG提供了一种强大而准确的方法,用于从GWAS总结统计数据中估计遗传网络.
关键词:
门德尔的随机化遗传网络 遗传网络是一种遗传网络.全基因组关联研究研究.一个概率的图形模型.

更多相关视频

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
14:06

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Published on: November 12, 2012

46.4K
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

3.2K

相关实验视频

Last Updated: Jun 5, 2025

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

3.5K
Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
14:06

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Published on: November 12, 2012

46.4K
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

3.2K
  • 该方法提高了表型之间的生物学关系的解释性.
  • EGG代表了统计遗传学和网络分析领域的重大进展.