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

Epistasis Analysis01:09

Epistasis Analysis

5.2K
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...
5.2K
Two-Way ANOVA01:17

Two-Way ANOVA

2.8K
The two-way ANOVA is an extension of the one-way ANOVA. It is a statistical test performed on three or more samples categorized by two factors - a row factor and a column factor. Ronald Fischer mentioned it in 1925 in his book 'Statistical Methods for Researchers.'
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the...
2.8K
Multiple Allele Traits01:49

Multiple Allele Traits

34.8K
The Concept of Multiple Allelism
34.8K
Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

509
Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
509
Gene-Environment Interactions01:20

Gene-Environment Interactions

434
Gene expression is a dynamic process that is significantly influenced by environmental factors. This interaction underlies the complex nature of biological development and the phenotypic differences observed among individuals, even among those with identical genetic makeups. Factors such as radiation, temperature, behavior, nutrition, and stress play pivotal roles in determining how genes are expressed. The concept of the reaction range is central to understanding this interaction. It posits...
434
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

285
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
285

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

Genetic Linkage for Bipolar Disorder to the Distal Region of Chromosome 19q: A Large Family Whole Genome Sequencing Study.

Bipolar disorders·2026
Same author

Targeted proteomics analysis in type 1 diabetes identifies lower agouti-related protein levels in individuals with impaired hypoglycaemia awareness.

Scientific reports·2025
Same author

Methodological challenges in studying disease processes using observational cohort data.

Japanese journal of statistics and data science·2025
Same author

Disease-modifying effects of TMEM106B in genetic frontotemporal dementia: a longitudinal GENFI study.

Brain : a journal of neurology·2025
Same author

RegionScan: a comprehensive R package for region-level genome-wide association testing with integration and visualization of multiple-variant and single-variant hypothesis testing.

Bioinformatics advances·2025
Same author

The X chromosome's influences on the human brain.

Science advances·2025
Same journal

Genetic survey of biomarkers at early and mid-pregnancy identifies pregnancy-specialized immune regulation.

PLoS genetics·2026
Same journal

Argonaute proteins orchestrate Meiotic Sex Chromosome Inactivation and timing of the spermatogenic transcriptional program.

PLoS genetics·2026
Same journal

Genome wide association study meta-analysis of neuropathologic lesions of Alzheimer's disease and related dementias in a multi-site autopsy cohort.

PLoS genetics·2026
Same journal

Microtubule stiffening by the doublecortin-domain protein ZYG-8 contributes to mitotic spindle orientation during zygote division in Caenorhabditis elegans.

PLoS genetics·2026
Same journal

Multiple instance fine-mapping: Predicting causal regulatory variants with a deep sequence model.

PLoS genetics·2026
Same journal

Nuclear ubiquitin-conjugating enzyme TrUbc4 and F-box protein TrFwd1-mediated modification of Cre1 in Trichoderma reesei establishes a regulatory mechanism for carbon catabolite repression.

PLoS genetics·2026
查看所有相关文章

相关实验视频

Updated: Sep 10, 2025

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
06:52

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

Published on: September 17, 2019

6.4K

在分析二进制特征时检测隐藏的相互作用效应

Ziang Zhang1,2, Jerald F Lawless3, Andrew D Paterson4,5

  • 1Department of Human Genetics, University of Chicago, Chicago, Illinois, United States of America.

PLoS genetics
|August 22, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种全基因组关联研究 (GWAS) 的新方法,用于检测二进制特征的基因环境相互作用. 这种方法简化了复杂基因相互作用的测试,提高了与疾病相关的SNP和基因的发现能力.

更多相关视频

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
06:48

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment

Published on: June 25, 2019

9.3K
A Method to Test the Effect of Environmental Cues on Mating Behavior in Drosophila melanogaster
08:13

A Method to Test the Effect of Environmental Cues on Mating Behavior in Drosophila melanogaster

Published on: July 17, 2017

9.2K

相关实验视频

Last Updated: Sep 10, 2025

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
06:52

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

Published on: September 17, 2019

6.4K
Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
06:48

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment

Published on: June 25, 2019

9.3K
A Method to Test the Effect of Environmental Cues on Mating Behavior in Drosophila melanogaster
08:13

A Method to Test the Effect of Environmental Cues on Mating Behavior in Drosophila melanogaster

Published on: July 17, 2017

9.2K

科学领域:

  • 遗传学
  • 统计基因组学
  • 生物信息学

背景情况:

  • 全基因组关联研究 (GWAS) 旨在确定遗传变异和特征之间的关联.
  • 对基因-环境 (G x E) 和基因-基因 (G x G) 相互作用的测试至关重要,但在计算上具有挑战性,特别是对于潜在变量.
  • 现有的GWAS间接相互作用测试方法仅限于定量特征,而不是二进制特征.

研究的目的:

  • 在GWAS中开发一种用于间接测试基因与环境相互作用的新方法.
  • 提出一个联合的统计测试,包括单核酸多态 (SNP) 的主要和相互作用效应.
  • 为识别潜伏相互作用效应的SNP和基因提供实用和可行的计算方法.

主要方法:

  • 在GWAS中为二进制特征提出了一种间接测试方法.
  • 通过在标准添加剂GWAS模型中添加一个非添加剂 (主导) 项,引入了联合测试.
  • 通过广泛的模拟,评估了该方法的统计特性,包括I型错误控制和功率.

主要成果:

  • 拟议的方法在数值研究中证明了有效的I型错误控制和强大的统计能力.
  • 对英国生物库数据集的应用成功地确定了潜在的SNP和潜在的相互作用效应的基因.
  • 这种方法在现有的GWAS框架内很容易实现.

结论:

  • 开发的方法为GWAS中二进制特征间接测试基因环境相互作用提供了实用解决方案.
  • 这种方法提高了检测疾病的复杂遗传结构的能力.
  • 这些发现突显了将非添加词纳入更全面的遗传关联分析的有用性.