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

13.2K
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...
13.2K
Three-Dimensional Analysis of Strain01:29

Three-Dimensional Analysis of Strain

207
Three-dimensional strain analysis is crucial for understanding how materials deform under stress, particularly in elastic, homogeneous materials. This method employs principal stress axes to simplify complex stress states into more understandable forms. Subjected to stress, a small cubic element within a material either expands or contracts along these axes, transforming into a rectangular parallelepiped. This transformation effectively illustrates the material's deformation. The principal...
207

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

Optimizing strain selection for association studies under hard cost constraints.

Genetics·2026
Same author

LocusPackRat: an R package to support prioritizing candidate genes from large GWAS intervals with standardized evidence aggregation.

G3 (Bethesda, Md.)·2026
Same author

Global analyses of genomic and epigenomic influences on gene expression reveal <i>Serpina3n</i> as a major regulator of cardiac gene expression in response to catecholamine challenge during heart failure.

Epigenetics·2026
Same author

Anaerobic riboflavin degradation by human gut <i>Lachnospiraceae</i>.

bioRxiv : the preprint server for biology·2026
Same author

Genetic determinants of heart failure susceptibility and response in the collaborative cross mouse population.

Genetics·2026
Same author

A systems genetics approach to uncover mitochondrial drivers of heart failure reveals mitochondria-nuclear cross talk in genetically diverse mouse strains.

bioRxiv : the preprint server for biology·2025

相关实验视频

Updated: Jun 13, 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

在硬性成本约束下,优化关联研究的菌株选择.

Christoph D Rau, Patrick H Bradley

    bioRxiv : the preprint server for biology
    |June 12, 2025
    PubMed
    概括
    此摘要是机器生成的。

    优化全基因组关联研究 (GWAS) 需要平衡成本和遗传多样性. ThriftyMD算法高效地选择多样化,具有成本效益的样本,以在有限的预算下获得最大的统计能力.

    更多相关视频

    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
    Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
    07:35

    Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

    Published on: October 11, 2018

    7.4K

    相关实验视频

    Last Updated: Jun 13, 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
    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
    Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
    07:35

    Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

    Published on: October 11, 2018

    7.4K

    科学领域:

    • 定量遗传学 是一种定量遗传学.
    • 人口遗传学 人口遗传学
    • 基因组学就是基因组学.

    背景情况:

    • 定量遗传学方法在模型生物和多样化的自然种群中具有强大作用.
    • 现型化大型菌株集合是有价值的,但可能是成本高昂的.
    • 需要有效的策略,在预算限制范围内优化实验动力.

    研究的目的:

    • 在预算限制下,评估全基因组关联研究 (GWAS) 的最佳子集选择策略.
    • 为了比较以成本,遗传多样性或两者同时为重点的方法.
    • 为资源有限的GWAS队列设计引入和验证ThriftyMD算法.

    主要方法:

    • 在各种小等位基频率 (MAF) 和SNP效应大小中进行模拟研究.
    • 评估以成本为中心,以多样性为中心和综合选择策略.
    • 将方法应用于混合鼠标多样性小组 (HMDP) 数据.

    主要成果:

    • 基于成本的选择在低至中等预算中最有效.
    • 基于多样性的选择对于罕见的变体 (5-10%的MAF) 或更高的成本是最佳的.
    • 节省MD方法,平衡成本和多样性,在恢复显著的位置和保持HMDP上的电力方面表现优于其他方法.
    • 在预算范围内,ThriftyMD选择了将遗传距离与未被选择的菌株最小化的菌株.

    结论:

    • 在GWAS队列设计中,成本,多样性和统计能力之间存在固有的权衡.
    • ThriftyMD算法为优化资源有限的环境中的GWAS提供了一个强大而通用的解决方案.
    • 这种方法通过战略性地选择具有代表性和成本效益的样本来增强实验能力.