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

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
Multiple Comparison Tests01:13

Multiple Comparison Tests

3.9K
Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
3.9K

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

Divided-and-combined association test for pleiotropic effects with GWAS summary statistics.

BMC genomics·2026
Same author

Efficacy and safety of Shouhui Tongbian Capsules, a traditional Chinese medicine, combined with 2L polyethylene glycol for bowel preparation before colonoscopy: a multicenter, randomized, single-blind, parallel-controlled clinical trial.

Therapeutic advances in gastroenterology·2025
Same author

Immunogenicity of Short-Course, High-Dose Hepatitis B Vaccination in Patients with Chronic Kidney Disease - Shanxi Province, China, 2019-2020.

China CDC weekly·2024
Same author

Confidence interval estimation for the difference of censored zero-inflated gamma distributions.

Scientific reports·2024
Same author

Research on B<sub>4</sub>C/PEEK Composite Material Radiation Shielding.

Polymers·2024
Same author

Subclassification of lung adenocarcinoma through comprehensive multi-omics data to benefit survival outcomes.

Computational biology and chemistry·2024

相关实验视频

Updated: Jun 18, 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

3.6K

MTML:一种基于考奇组合试验的高效多路线多位元GWAS方法.

Hongping Guo1, Tong Li1, Yao Shi2

  • 1School of Mathematics and Statistics, Hubei Normal University, Huangshi, China.

Biometrical journal. Biometrische Zeitschrift
|July 30, 2024
PubMed
概括
此摘要是机器生成的。

本研究引入了全基因组关联研究 (GWAS) 的多特征多地点 (MTML) 框架. MTML增强了检测跨多个特征的遗传关联的能力,改善了定量特征核酸发现.

关键词:
考希的组合试验试验.在GWAS中,GWAS就是GWAS.减少收缩的山脊回归回归.模型分解分解模型多个位置的多个位置.多边条约是多边条约.

更多相关视频

Multi-locus Variable-number Tandem-repeat Analysis of the Fish-pathogenic Bacterium Yersinia ruckeri by Multiplex PCR and Capillary Electrophoresis
10:33

Multi-locus Variable-number Tandem-repeat Analysis of the Fish-pathogenic Bacterium Yersinia ruckeri by Multiplex PCR and Capillary Electrophoresis

Published on: June 17, 2019

10.8K
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

10.1K

相关实验视频

Last Updated: Jun 18, 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

3.6K
Multi-locus Variable-number Tandem-repeat Analysis of the Fish-pathogenic Bacterium Yersinia ruckeri by Multiplex PCR and Capillary Electrophoresis
10:33

Multi-locus Variable-number Tandem-repeat Analysis of the Fish-pathogenic Bacterium Yersinia ruckeri by Multiplex PCR and Capillary Electrophoresis

Published on: June 17, 2019

10.8K
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

10.1K

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.
  • 统计基因组学 统计基因组学

背景情况:

  • 全基因组关联研究 (GWAS) 对于识别与特征相关的遗传变异至关重要.
  • 现有的GWAS方法通常分析单个特征或单个标记,限制了它们的力量和捕捉复杂遗传结构的能力.
  • 高通量基因型和表型技术增加了对同时分析多个特征的兴趣.

研究的目的:

  • 为GWAS开发一个新的多特征多地点 (MTML) 建模框架.
  • 提高检测跨多个特征的遗传关联的能力和效率.
  • 提供一种强大的方法来识别类基因关联.

主要方法:

  • 开发了一个三步的MTML建模框架:计算简化,维度减少和Cauchy组合,用于联合标记-特征贡献.
  • 使用蒙特卡洛模拟评估了MTML性能,并将其与现有的GWAS方法进行了比较.
  • 将MTML框架应用于Arabidopsis thaliana的真实数据分析.

主要成果:

  • 与其他方法相比,MTML在定量特征核酸检测方面表现出更高的功率.
  • 该框架在各种特征中表现出强度.
  • MTML有效控制了I型错误率.
  • 真实数据分析在Arabidopsis thaliana中发现了更多的类遗传关联.

结论:

  • MTML是一种高效和强大的GWAS方法,用于对多个定量特征的联合分析.
  • 拟议的框架增强了遗传关联和类效应的发现.
  • 一个R包,MTML,可用于实现该方法.