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相关概念视频

Hardy-Weinberg Principle01:49

Hardy-Weinberg Principle

72.0K
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.
72.0K
What is Population Genetics?01:25

What is Population Genetics?

57.9K
A population is composed of members of the same species that simultaneously live and interact in the same area. When individuals in a population breed, they pass down their genes to their offspring. Many of these genes are polymorphic, meaning that they occur in multiple variants. Such variations of a gene are referred to as alleles. The collective set of all the alleles within a population is known as the gene pool.
57.9K
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

13.3K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
13.3K
Genetic Drift03:33

Genetic Drift

39.7K
Natural selection—probably the most well-known evolutionary mechanism—increases the prevalence of traits that enhance survival and reproduction. However, evolution does not merely propagate favorable traits, nor does it always benefit populations.
39.7K
Polygenic Traits01:18

Polygenic Traits

65.7K
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...
65.7K
Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

58.3K
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).
58.3K

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相关实验视频

Updated: Jun 22, 2025

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
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Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

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从基因数据与潜伏多项式模型的聚合基因数据中推断哈普类型的频率推断.

Yong See Foo, Jennifer Flegg

    IEEE/ACM transactions on computational biology and bioinformatics
    |June 28, 2024
    PubMed
    概括

    从聚合的遗传数据中准确地推断单元型频率至关重要. 使用潜伏多项式模型的新精确方法优于近似方法,提供可靠的遗传关联研究.

    科学领域:

    • 遗传学 是一个遗传学.
    • 统计遗传学 统计遗传学
    • 生物信息学是一种生物信息学.

    背景情况:

    • 与单个标记物相比,哈普洛型数据提供了精细的遗传信息.
    • 大规模的遗传研究往往会产生聚合数据,需要强大的推断方法.
    • 现有的用于聚合数据推断的正常近似方法可能不可靠,特别是在近单元共变矩阵中.

    研究的目的:

    • 开发和展示精确的计算方法,从聚合的遗传数据中推断单元型频率.
    • 解决当前近似方法的局限性,这些方法在现实世界数据集上失败.
    • 为分析大规模遗传关联研究提供可扩展和准确的替代方案.

    主要方法:

    • 提出了基于潜在多项式模型的两个精确推理方法.
    • 利用潜伏的整数组合,未观察到的单元型计数来建模聚合结果.
    • 通过马尔科夫基开发了一种潜在计数采样方法,与池大小相比,运行时间大约是线性的.

    主要成果:

    • 与现有的近似方法相比,提出的精确方法显示出更高的准确性.
    • 从1000个基因组项目中对合成数据集和真实单元型数据进行验证.
    • 对时间序列成功应用的方法汇集了遗传数据,显示了复杂层次模型的潜力.

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    Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
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    Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

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    Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
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    Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

    Published on: September 17, 2019

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    结论:

    • 精确的方法提供了比传统的近似方法更可靠的从聚合的遗传数据中推断单元型频率.
    • 开发的方法在计算上是高效和准确的,适合大规模的遗传研究.
    • 该方法可以适应更复杂的数据结构,包括时空遗传分析.