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相关概念视频

Genetic Lingo01:11

Genetic Lingo

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Overview
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Lethal Alleles02:41

Lethal Alleles

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Agouti: A Lethal Allele
Lucien Cuénot discovered lethal alleles in 1905 while studying the inheritance of coat color in mice. The agouti gene is responsible for the color of the coat in mice. This gene codes for an agouti-signaling protein, which is responsible for melanin distribution in mammals. The wild-type allele gives rise to gray-brown coat color in mice, while the mutant allele gives rise to yellow coat color. In addition to coat color, the agouti gene is associated with the yellow...
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Epistasis Analysis01:09

Epistasis Analysis

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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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Multiple Allele Traits01:49

Multiple Allele Traits

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The Concept of Multiple Allelism
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Probability Laws01:49

Probability Laws

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Overview
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Hardy-Weinberg Principle01:49

Hardy-Weinberg Principle

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Diploid organisms have two alleles of each gene, one from each parent, in their somatic cells. Therefore, each individual contributes two alleles to the gene pool of the population. The gene pool of a population is the sum of every allele of all genes within that population and has some degree of variation. Genetic variation is typically expressed as a relative frequency, which is the percentage of the total population that has a given allele, genotype or phenotype.
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相关实验视频

Updated: Dec 12, 2025

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
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Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

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基限制:一种生物替代多因素值遗传的生物替代方案.

M Melnick, E D Shields

    Lancet (London, England)
    |January 24, 1976
    PubMed
    概括

    与保守的多因素值模型不同,等位基限制模型为常见的先天性形提供了新的见解. 裂口口腔的人口数据支持这种遗传假设.

    科学领域:

    • 遗传学 遗传学 是一个
    • 发展生物学 发展生物学
    • 人类生物学 人类生物学

    背景情况:

    • 对于先天性形的多因素值模型缺乏生物洞察力.
    • 目前的模型依赖于复杂的数学假设.
    • 需要一个新的模型来解释常见的先天性形遗传.

    研究的目的:

    • 将"基限制"模型应用于人类常见先天性形的起源.
    • 为了解这些疾病的遗传基础提供一个新的框架.

    主要方法:

    • 使用新的人口数据来隔离口腔裂.
    • 分析这些数据与"等位基限制"模型的预测是否相匹配.

    主要成果:

    • 隔离裂口口口腔的种群数据与"基限制"模型非常相吻合.
    • 该模型解释了在常见的先天性形遗传病例中透率的降低.
    • 该模型适用于高频和有限的垂直传输条件.

    结论:

    • "基限制"模型为常见的先天性形提供了生物学上可信的解释.
    • 这个模型解释了异质性,副本和减少透率.

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    An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
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    An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

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  • 它为多因素值模型的局限性提供了一个有价值的替代方案.