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

Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

99
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
99
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
Statistical Methods to Analyze Parametric Data: ANOVA01:12

Statistical Methods to Analyze Parametric Data: ANOVA

367
Analysis of Variance, or ANOVA, is a powerful statistical technique used to analyze parametric data, primarily in research and experimental studies. It's designed to compare the means of two or more groups, assisting researchers in identifying any significant differences between these group means. There are two main types of ANOVA based on the complexity of the analysis: one-way and two-way.
One-way ANOVA is applied when a single independent variable or factor is scrutinized. It compares...
367
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

13.4K
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...
13.4K
Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

363
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...
363
What is ANOVA?01:13

What is ANOVA?

1.9K
The Analysis of Variance or ANOVA is a statistical test developed by Ronald Fisher in 1918. It is performed on three or more samples to check for equality between their means.
Before performing ANOVA, one must ensure that the samples used for this analysis have three crucial characteristics or statistical assumptions. The first assumption states that the samples should be drawn from normally distributed samples, while the second requires that all the drawn samples be randomly and independently...
1.9K

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

Spatial co-expression and cell-cell communication inference from spatially resolved transcriptomics with CONCISE.

bioRxiv : the preprint server for biology·2026
Same author

ADHD and cardiometabolic risk profile in adults with type 2 diabetes: a longitudinal register-based study.

BMJ open·2026
Same author

Psychiatric and neurological predictors of early ADHD medication discontinuation across the lifespan: a multinational study.

BMJ mental health·2026
Same author

Maternal Cesarean Section and Offspring ASD or ADHD Risk: A Nurses' Health Study II Analysis.

American journal of epidemiology·2026
Same author

Molecular Subtyping Based on EGFR Mutation-Associated Genes and the Prognostic Role of TRAF2 in Lung Adenocarcinoma.

Human mutation·2026
Same author

A unified framework for selecting and evaluating cell-type-specific gene co-expressions in single-cell data.

Briefings in bioinformatics·2026

相关实验视频

Updated: Jun 29, 2025

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
07:15

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

11.0K

一个基于差异组件的调解分析框架,以消除遗传混效应.

Zihan Dong1,2, Hongyu Zhao3, Andrew T DeWan4,5

  • 1Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA.

Journal of human genetics
|March 26, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了REML调解,这是一种新的方法,用于纠正调解分析中的遗传混. 它通过解决表型之间的共同遗传影响来准确估计交叉特征的因果关系.

更多相关视频

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
09:34

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

Published on: April 4, 2018

33.7K
Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
11:35

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA

Published on: August 21, 2016

13.0K

相关实验视频

Last Updated: Jun 29, 2025

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
07:15

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

11.0K
Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
09:34

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

Published on: April 4, 2018

33.7K
Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
11:35

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA

Published on: August 21, 2016

13.0K

科学领域:

  • 遗传学 是一个遗传学.
  • 流行病学 流行病学
  • 统计遗传学 统计遗传学

背景情况:

  • 单个核酸多态性 (SNP) 影响多个特征的多质性,为共享的遗传信号提供了洞察力.
  • 调解分析通过调解者将SNP效应分解为直接和间接的途径.
  • 现型之间的遗传相关性可能会混调解分析,从而产生不准确的效果估计.

研究的目的:

  • 开发一个统计框架,以解决遗传中介分析中的遗传相关性混杂问题.
  • 引入REML调解,一种基于最大概率的限制性方法,用于强大的遗传调解分析.
  • 通过模拟和真实世界的数据来验证REML调解框架.

主要方法:

  • 提出了一个基于最大概率 (REML) 的限制调解分析框架,称为REML调解.
  • 开发了REML调度,适用于个人层面和总结统计数据.
  • 通过模拟验证了该方法,并将其应用于英国生物库数据,用于调解者-结果特征对和类SNP.

主要成果:

  • 模拟证实,REML调解在特定假设下提供了对交叉特征因果效应的公正估计.
  • 与传统的线性回归相比,该方法显示了稍微膨胀的标准误差,但保持了准确性.
  • 对英国生物库数据的应用揭示了显著的遗传混效应,REML调解实现了7%至39%的校正幅度.

结论:

  • 在跨特征分析中,REML调解有效地识别和纠正遗传混.
  • 这些发现强调了流行病学研究中遗传混的普遍性.
  • 考虑到遗传混对于准确解释遗传调解分析至关重要.