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相关概念视频

Gene-Environment Interactions01:20

Gene-Environment Interactions

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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...
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Background and Environment Affect Phenotype02:27

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Although the genetic makeup of an organism plays a major role in determining the phenotype, there are also several environmental factors, such as temperature, oxygen availability, presence of mutagens, that can alter an organism’s phenotype.
An example of how genetic background affects phenotype can be seen in horses. The Extension gene in horses is responsible for their coat color. A wild-type gene (EE) produces black pigment in the coat, while a mutant gene (ee) produces red pigment. A...
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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...
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Polygenic Traits01:18

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When more than one gene is responsible for a given phenotype, the trait is considered polygenic. Human height is a polygenic trait. Studies have uncovered hundreds of loci that influence height, and there are believed to be many more. Due to the high number of genes involved, as well as environmental and nutritional factors, height varies significantly within a given population. The distribution of height forms a bell-shaped curve, with relatively few individuals in the population at the...
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Heritability01:06

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Heritability is a statistical concept that measures the degree to which genetic differences among individuals contribute to trait variations within a population. It is a fundamental idea in genetics, often prone to misinterpretation. Heritability is expressed as a percentage, reflecting the proportion of variation in a specific trait across a population that can be linked to genetic differences. However, it's important to understand that heritability does not determine how "genetic"...
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Behavioral Genetics and Its Designs01:23

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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...
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Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
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从多个连续的特征中检测基因环境相互作用.

Wan-Yu Lin1,2

  • 1Institute of Health Data Analytics and Statistics, College of Public Health, National Taiwan University, Taipei 100, Taiwan.

Bioinformatics (Oxford, England)
|June 25, 2024
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概括
此摘要是机器生成的。

一种新的多变量规模测试 (MST) 通过分析多个特征,有效地检测复杂疾病中的基因环境相互作用 (GxE). 这种方法比传统的单变量测试提供了更大的力量,用于识别对健康结果的遗传影响.

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科学领域:

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

背景情况:

  • 基因环境相互作用 (GxE) 影响疾病风险,因环境暴露而有所不同.
  • 复杂的疾病往往表现为多个连续的特征 (例如,肥胖,糖尿病).

研究的目的:

  • 开发和评估一种多变量尺度测试 (MST),用于检测具有多个特征的疾病中的GxE.
  • 确定有助于显著GxE信号的特定特征和环境因素.

主要方法:

  • 开发了一种多变量尺度测试 (MST) 来分析多个连续特征的GxE.
  • 通过模拟,将MST的统计能力与单变量尺度测试 (UST) 相比较.
  • 将MST应用于来自台湾生物银行的大规模遗传数据.

主要成果:

  • 与UST相比,MST通过整合多个特征并采用不那么严格的多重测试处罚,证明了提高功率的潜力.
  • 应用到台湾生物库的数据确定了18个独立的变异定量特征位点和41个显著的GxE信号,跨越八个特征域.
  • 这项研究分析了近1.19万个人的250多万个SNP.

结论:

  • MST是发现多种特征的疾病中复杂的基因环境相互作用的强大工具.
  • 已识别的GxE信号为复杂疾病的遗传结构提供了洞察力.
  • 开发的方法和研究结果是公开可用的,以便进一步研究.