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相关概念视频

Longitudinal Studies01:26

Longitudinal Studies

140
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
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Longitudinal Research02:20

Longitudinal Research

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Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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Phase II Reactions: Methylation Reactions01:17

Phase II Reactions: Methylation Reactions

149
Methylation is a phase II biotransformation process involving the attachment of a methyl group to a substrate. Enzymes known as methyltransferases orchestrate this reaction.
The mechanism of methylation unfolds in two stages. The first stage sees a methyltransferase enzyme facilitating the transfer of a methyl group from S-adenosylmethionine (SAM) to the substrate, forming S-adenosylhomocysteine (SAH). The second stage involves further metabolism of SAH into homocysteine, which can be recycled...
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相关实验视频

Updated: Jun 10, 2025

Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies
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在使用高维甲基化介质的纵向研究中进行调解分析.

Yidan Cui1, Qingmin Lin2, Xin Yuan1

  • 1Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, 800 Dongchuan Rd, 200240 Shanghai, China.

Briefings in bioinformatics
|October 15, 2024
PubMed
概括

我们开发了一种用于高维纵向介导分析的新方法,提高了准确性并减少了错误. 这种方法确定了新的DNA甲基化位点,将父亲的BMI与后代的生长联系起来.

关键词:
通过DNA甲基化.高维调解分析的高维调解分析纵向数据 纵向数据 纵向数据确定独立性选 确定独立性选

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科学领域:

  • 生物统计学 生物统计学
  • 遗传学 是一个遗传学.
  • 流行病学 流行病学

背景情况:

  • 调解分析对于理解暴露-结果途径至关重要.
  • 现有的方法难以处理高维的纵向数据.
  • 在复杂的生物系统中识别介质仍然具有挑战性.

研究的目的:

  • 开发和验证一种用于纵向数据的新型高维介导分析方法.
  • 为了使可靠的变量选择和间接影响评估.
  • 在父亲的BMI与后代的BMI关系中识别新的调解因素.

主要方法:

  • 提出了一种结合线性混合效应模型和通用估计方程的新方法.
  • 利用确定的独立性选来缩小候选调解员的规模.
  • 使用Sobel测试与Bonferroni校正进行间接效应假设测试.

主要成果:

  • 与线性方法相比,拟议的方法表现出优异的性能,F1得分更高.
  • 实现了更准确的参数估计和明显较低的错误发现率.
  • 确定了两个新的CpG位点,调解了父亲的BMI对后代BMI的影响,在一个大型队列中.

结论:

  • 这种新方法有效地解决了纵向研究中的高维介导分析.
  • 这种方法增强了生物途径和潜在治疗点的识别.
  • 这些发现为BMI的代际影响提供了新的见解.