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相关概念视频

Gene-Environment Interactions01:20

Gene-Environment Interactions

254
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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The Concept of Multiple Allelism
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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.
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Epistasis Analysis01:09

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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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Heritability01:06

Heritability

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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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相关实验视频

Updated: Jun 8, 2025

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
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大变异的方法捕获复杂的基因型-环境相互作用.

Alencar Xavier1,2, Daniel Runcie3, David Habier1

  • 1Corteva Agrisciences, Seed Product Development, 8305 NW 62nd Ave, Johnston, IA 50131, USA.

Genetics
|November 4, 2024
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概括
此摘要是机器生成的。

像MegaLMM和MegaSEM这样的可扩展的基因组预测模型,使用PEGS解决方案,通过建模基因型对环境相互作用来准确预测特定站点的性能. 这些方法为复杂的遗传分析提供了计算效率.

关键词:
准确度 准确度 准确度 准确度 准确度基因组预测 基因组预测矩阵分解分解矩阵分解多变量模型是多变量模型.

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科学领域:

  • 定量遗传学 是一个量子遗传学.
  • 计算生物学是一种计算生物学.
  • 基因组预测 基因组预测

背景情况:

  • 基因组预测模型对于在不同环境中预测作物表现至关重要.
  • 捕捉基因型对环境 (GxE) 相互作用可以提高预测的准确性,但也带来了计算方面的挑战.

研究的目的:

  • 引入和评估包含GxE相互作用的基因组预测模型的可扩展算法.
  • 将新型计算方法的准确性和运行时间与现有方法进行基准测试.

主要方法:

  • 开发了两个潜在的GxE模型:MegaLMM和MegaSEM.
  • 实施了一种高效的多变量混合模型解决器,即伪预期高斯-西德尔 (PEGS).
  • 配备了采用非结构化,扩展因子分析 (XFA) 和异类复合对称 (HCS) 协变结构的模型.

主要成果:

  • 基于MegaLMM和PEGS的XFA/HCS模型在稀疏的测试 (100个环境) 中获得了最高的准确性.
  • PEGS非结构化模型的速度明显快于基于REML的GBLUP,准确度相似.
  • MegaSEM表现出了特殊的速度,快速安装大规模模型.

结论:

  • 可扩展的基因组预测模型,特别是带有PEGS的MegaLMM和MegaSEM,为GxE相互作用分析提供了高效和准确的解决方案.
  • 选择协差结构 (XFA,HCS) 会影响预测的准确性.
  • 从平均模型中得出的环境特异性基因组估计育种值 (GEBV) 提供了可靠的预测.