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相关概念视频

Epistasis Analysis01:09

Epistasis Analysis

4.9K
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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Epistasis01:39

Epistasis

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In addition to multiple alleles at the same locus influencing traits, numerous genes or alleles at different locations may interact and influence phenotypes in a phenomenon called epistasis. For example, rabbit fur can be black or brown depending on whether the animal is homozygous dominant or heterozygous at a TYRP1 locus. However, if the rabbit is also homozygous recessive at a locus on the tyrosinase gene (TYR), it will have an unshaded coat that appears white, regardless of its TYRP1...
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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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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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Chi-square Analysis02:46

Chi-square Analysis

38.2K
The chi-square test is a statistical hypothesis test. It is used to check whether there is a significant difference between an expected value and an observed value. In the context of genetics, it enables us to either accept or reject a hypothesis, based on how much the observed values deviate from the expected values.
The chi-square test was developed by Pearson in 1990.
The first step of performing a Chi-square analysis is to establish a null hypothesis, which assumes that there is no real...
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Probability Laws01:49

Probability Laws

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Overview
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An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
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    此摘要是机器生成的。

    嵌合式表达式错误地识别了更高阶相互作用的标志. 使用乘法或加法表达式的表达式,可以更准确地对遗传和蛋白质数据进行生物学解释. 这纠正了酵母基因网络和药物相互作用的发现.

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    科学领域:

    • 遗传学和进化生物学
    • 生物信息学和计算生物学
    • 分子和系统生物学 分子和系统生物学

    背景情况:

    • 表观性,即不同基因位置的等位基因之间的相互作用,对于理解生物复杂性,蛋白质进化和遗传相互作用至关重要.
    • 量化表达式通常涉及计算从附加或乘法健身模型的偏差,但现有的公式并不总是相当的.
    • 一种广泛使用的"奇梅里克"公式混合了乘法和加法尺度,可能导致误解,特别是对于更高阶相互作用.

    研究的目的:

    • 批判性地评估不同经验测量公式的数学正确性,特别是"奇梅里克"公式.
    • 为了准确的建模,推导出表达式和多变量伯努利分布之间的基本联系.
    • 通过纠正的表观测量来重新评估生物数据,并评估对生物解释的影响.

    主要方法:

    • 数学推导表达式和多变量伯努利分布之间的关系.
    • 对双向和高阶相互作用的模拟式,乘法式和加法式生成的表达式大小和符号的比较分析.
    • 重新分析现有的生物数据集,包括酵母基因淘汰,细菌药物相互作用和蛋白质深度突变扫描 (DMS) 数据.

    主要成果:

    • 与高阶相互作用的乘法公式相比,仿真公式可以产生不同的大小和表现的表现,导致对协同效应和对抗效应的错误分类.
    • 乘法式和加法式的表达式在数学上比仿真式更强大.
    • 对生物数据的重新分析显示,在使用适当的乘法或加法公式时,高阶相互作用的10-60%的信号发生变化,显著改变了生物结论.

    结论:

    • 嵌合式表达式引入了重要的数学不一致性,导致错误的生物学解释.
    • 使用乘法或添加式表达式进行校正分析,揭示了理解基因功能,药物相互作用和蛋白质演变的实质差异.
    • 在酵母中,乘法公式确定了近500个额外的负三向相互作用,将三基网络扩展了25%,并强调了精确的表观测量的重要性.