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相关概念视频

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

15.3K
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...
15.3K
Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

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Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
18.6K
Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

17.9K
A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
17.9K
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
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

6.8K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
6.8K
Genomics02:02

Genomics

39.6K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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相关实验视频

Updated: Jan 12, 2026

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

Published on: June 23, 2012

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在人口基因组数据中识别单一来源的罕见变异.

Josh J Reynolds1, Vassiliki Koufopanou1, Austin Burt1

  • 1Department of Life Sciences, Imperial College London, Silwood Park, Ascot SL5 7PY, United Kingdom.

Molecular biology and evolution
|November 3, 2025
PubMed
概括

在大型基因组数据集中,反复发生的突变可能是常见的,可能会扭曲人口统计学分析. 新的方法准确地识别出单一来源的变异,改善了种群遗传研究.

科学领域:

  • 人口基因组学 人口基因组学
  • 分子进化分子进化
  • 生物信息学是一种生物信息学.

背景情况:

  • 基因组分析显示,突变可以在同一基因位点独立地多次发生.
  • 经常忽视反复发生的突变现象,可能会在人口分析和共同祖先估计中引入错误.
  • 对于了解最近的人口历史至关重要的双重子等罕见变异也可能源于多个独立的突变事件.

研究的目的:

  • 开发新的计算方法,用于估计人口基因组数据中反复重复的频率.
  • 建立一种可靠的方法来识别高可靠性,单一来源的双重组,使用链接的罕见变异和共享的单元类型.
  • 将这些方法应用于Anopheles gambiae种群数据,以评估反复突变对人口推断的影响.

主要方法:

  • 开发了一种方法来估计使用具有两种不同的单元突变的三基位的复发双重子频率.
  • 实施了一项策略,通过利用在共享的单元型上链接的罕见变异来识别单个起源的双重变异.
  • 将这些计算工具应用于来自非洲人口的Anopheles gambiae种群基因组数据.

主要成果:

  • 据估计,Anopheles gambiae数据集中的大约16%的双重突变起源于独立的突变事件.
  • 成功确定了单个来源的双重组的高可信度子集 (~99%的概率),其中包括大量预期和观察到的双重组.

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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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Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
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Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA

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相关实验视频

Last Updated: Jan 12, 2026

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

Published on: June 23, 2012

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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

Published on: August 3, 2018

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Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
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Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA

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  • 通过随后的数据分析和凝聚模拟来证明开发方法的有效性.
  • 结论:

    • 开发的方法有效地解决了大规模基因组数据集中反复发生突变的挑战.
    • 准确识别单一来源的双胞胎增加了人口推断的可靠性,特别是在大群体中.
    • 这些工具为调查人口遗传过程提供了宝贵的资源,如复合,选择和因距离隔离的隔离.