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相关概念视频

Genome-wide Association Studies-GWAS01:11

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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.
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Single Nucleotide Polymorphisms-SNPs01:05

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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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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.
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In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
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Genomics02:02

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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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Incomplete Dominance01:43

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Gregor Mendel's work (1822 - 1884) was primarily focused on pea plants. Through his initial experiments, he determined that every gene in a diploid cell has two variants called alleles inherited from each parent. He suggested that amongst these two alleles, one allele is dominant in character and the other recessive. The combination of alleles determines the phenotype of a gene in an organism.
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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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解码多基因疾病:在非编码变体优先级和验证方面的进展.

Iris M Chin1, Zachary A Gardell1, M Ryan Corces1

  • 1Gladstone Institute of Neurological Disease, Gladstone Institutes, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, Gladstone Institutes, San Francisco, CA, USA; Department of Neurology, University of California San Francisco, San Francisco, CA, USA.

Trends in cell biology
|May 8, 2024
PubMed
概括
此摘要是机器生成的。

全基因组关联研究 (GWAS) 确定了与多基因疾病的遗传联系. 现在新的方法使用功能证据在非编码DNA中确定因果变异,推进疾病机制研究.

关键词:
在GWAS中,GWAS就是GWAS.精细地图的绘制.功能性基因组学 功能性基因组学没有编码的变种.变体效应预测变体效应预测变种优先级排名 变种优先级排名

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科学领域:

  • 遗传学 是一个遗传学.
  • 基因组学就是基因组学.
  • 分子生物学分子生物学

背景情况:

  • 全基因组关联研究 (GWAS) 对于了解常见多基因疾病的遗传基础至关重要.
  • GWAS的一个主要局限性是它们难以将因果关系赋予特定的遗传变异,特别是在非编码基因组内.
  • 非编码基因组在疾病中的作用越来越被认可,但难以破译.

研究的目的:

  • 审查最近在非编码基因组中识别致病变异的技术和方法方面的进展.
  • 概述一个工作流程,整合分析和经验方法来确定变量优先级.
  • 突出这一工作流程如何促进从遗传关联转向理解多基因疾病的分子和细胞机制.

主要方法:

  • 利用正交的功能证据来验证优先级的非编码变体.
  • 采用分析和经验策略,在规模上对变量进行优先排序.
  • 整合不同类型的数据以弥合关联与因果关系之间的差距.

主要成果:

  • 在通过综合方法识别致病性非编码变异方面取得了重大进展.
  • 技术进步使得在前所未有的规模上能够产生功能性证据.
  • 一条清晰的途径正在出现,将遗传变异与特定的分子和细胞疾病机制联系起来.

结论:

  • 综合先进的分析和经验方法对于破译多基因疾病中非编码变异的作用至关重要.
  • 这种方法超越了简单的关联,为机理学研究提供了基础.
  • 未来的研究可以在这个框架的基础上建立,为多遗传性疾病研究制定基因知情战略.