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相关概念视频

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

13.2K
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...
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Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

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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,...
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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%...
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相关实验视频

Updated: Jun 11, 2025

Infinium Assay for Large-scale SNP Genotyping Applications
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Infinium Assay for Large-scale SNP Genotyping Applications

Published on: November 19, 2013

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超越SNP的全基因组关联测试

Laura Harris1, Ellen M McDonagh1, Xiaolei Zhang1

  • 1European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute (EBI), Wellcome Genome Campus, Hinxton, UK.

Nature reviews. Genetics
|October 7, 2024
PubMed
概括
此摘要是机器生成的。

全基因组关联研究 (GWAS) 正在探索超越常见SNP的副本数变异 (CNV),以揭示复杂的特征和疾病遗传学. 这项研究强调了改善基础设施的必要性,以充分利用CNV-GWAS的发现.

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Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
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Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

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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: Jun 11, 2025

Infinium Assay for Large-scale SNP Genotyping Applications
13:33

Infinium Assay for Large-scale SNP Genotyping Applications

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Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
08:27

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

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Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
11:35

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

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科学领域:

  • 人类遗传学 人类遗传学
  • 基因组学就是基因组学.
  • 复杂的特征遗传学复杂的特征遗传学

背景情况:

  • 使用常见单核酸多态 (SNP) 的全基因组关联研究 (GWAS) 已经对复杂的特征和疾病有了更深入的理解.
  • 对于一些特征,基于SNP的GWAS正在达到信号和,需要探索其他遗传变异.
  • 副本数变异 (CNV) 对遗传性和功能性特征差异有显著的贡献.

研究的目的:

  • 审查CNV-GWAS的当前状态.
  • 确定资源基础设施中阻碍CNV-GWAS采用的局限性.
  • 为未来的大规模GWAS提出指导方针,包括超越SNP的遗传变异.

主要方法:

  • 审查当前文献和技术进步在CNV检测.
  • 对CNV-GWAS现有资源基础设施的分析.
  • 讨论对多基因风险评分和药物标识的影响.

主要成果:

  • 技术和计算方面的进步促进了大规模的全基因组CNV评估.
  • CNV-GWAS具有推动多基因风险评分和药物标发现的潜力.
  • 目前的资源基础设施对广泛采用CNV-GWAS存在局限性.

结论:

  • CNV-GWAS是了解复杂特征和疾病的遗传基础的关键下一步.
  • 克服基础设施限制对于更广泛地实施CNV-GWAS至关重要.
  • 对于未来GWAS超越SNP的遗传变异,需要标准化指导方针.