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相关概念视频

Genetic Variation01:25

Genetic Variation

1.2K
Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
Genes exist in different versions called alleles,...
1.2K
Gene Conversion02:08

Gene Conversion

10.6K
Other than maintaining genome stability via DNA repair, homologous recombination plays an important role in diversifying the genome. In fact, the recombination of sequences forms the molecular basis of genomic evolution. Random and non-random permutations of genomic sequences create a library of new amalgamated sequences. These newly formed genomes can determine the fitness and survival of cells. In bacteria, homologous and non-homologous types of recombination lead to the evolution of new...
10.6K
Multiple Allele Traits01:49

Multiple Allele Traits

38.0K
The Concept of Multiple Allelism
38.0K
Hardy-Weinberg Principle01:49

Hardy-Weinberg Principle

76.0K
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.
76.0K
Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

61.8K
In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
61.8K
Conservative Site-specific Recombination and Phase Variation02:53

Conservative Site-specific Recombination and Phase Variation

6.7K
Because the DNA segments are cut and reorganized in a direction-specific manner, site-specific recombination has emerged as an efficient genetic engineering technique. Flippase and Cyclization recombinases or Flp and Cre, respectively, are two members of the tyrosine recombinase family derived from bacteriophages, that are used to mediate site-specific DNA insertions, deletions, and targeted expression of proteins in mammalian cell lines.
The recognition sites for Cre recombinase called LoxP...
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相关实验视频

Updated: Jan 16, 2026

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

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选择扫描中的多重测试校正,使用身份按下降段.

Seth D Temple1, Sharon R Browning2

  • 1Department of Statistics, University of Washington, Seattle, WA, USA; Department of Statistics, University of Michigan, Ann Arbor, MI, USA; Michigan Institute for Data and AI in Society, University of Michigan, Ann Arbor, MI, USA.

American journal of human genetics
|September 27, 2025
PubMed
概括
此摘要是机器生成的。

纠正基因适应扫描中的多重测试对于避免错误发现至关重要. 这项研究引入了一种有效的方法,使用身份由血统 (IBD) 建模来准确确定全基因组显著性水平,以检测最近的阳性选择.

关键词:
通过血统来确定身份.平均值逆转的过程.多次测试多次测试多次测试自然选择自然选择

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Rare Event Detection Using Error-corrected DNA and RNA Sequencing
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相关实验视频

Last Updated: Jan 16, 2026

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

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Rare Event Detection Using Error-corrected DNA and RNA Sequencing
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Rare Event Detection Using Error-corrected DNA and RNA Sequencing

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Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
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Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

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科学领域:

  • 人口遗传学 人口遗传学
  • 基因组学就是基因组学.
  • 进化生物学 进化生物学

背景情况:

  • 选择扫描中的多重测试可以导致遗传适应的错误发现.
  • 由于复杂的扫描统计数据,推导全基因组显著性水平和验证家族智能错误率 (FWER) 控制是具有挑战性的.

研究的目的:

  • 提出一种计算效率高的方法,用于确定基因组范围的显著水平,以身份为基因 (IBD) 扫描为基础,用于最近的阳性选择.
  • 为了应对多次测试纠正在检测遗传适应的挑战.

主要方法:

  • 模拟身份按血统 (IBD) 率的自相关性.
  • 开发一种方法来确定基于IBD的扫描的全基因组显著性水平.
  • 使用全基因组模拟来验证该方法的性能.

主要成果:

  • 拟议的方法证明了对家庭智能错误率 (FWER) 的近似控制.
  • 该方法适应了整个基因组的测试间隔.
  • 扫描实现了超过50%的功率来检测硬扫描,选择系数>=0.01和代基因频率在25-75%之间.

结论:

  • 该研究成功地确定了在不同祖先群体 (非洲,欧洲,南亚) 的人类基因中IBD细分数的统计学上显著的过剩.
  • 在删除丰富区域中发现了两种共享的IBD过量信号,跨祖先群体,表明潜在的共同适应性事件.