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相关概念视频

Genomics02:02

Genomics

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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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Animal Mitochondrial Genetics02:59

Animal Mitochondrial Genetics

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Among all the organelles in an animal cell, only mitochondria have their own independent genomes. Animal mitochondrial DNA is a double-stranded, closed-circular molecule with around 20,000 base pairs. Mitochondrial DNA is unique in that one of its two strands, the heavy, or H, -strand is guanine rich, whereas the complementary strand is cytosine rich and called the light, or L, -strand. Compared to nuclear DNA, mitochondrial DNA has a very low percentage of non-coding regions and is marked by...
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Genetic Screens02:46

Genetic Screens

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Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
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Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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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.
GWAS does not require the identification of the target gene involved in...
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Pharmacogenetics and Pharmacogenomics: Overview01:29

Pharmacogenetics and Pharmacogenomics: Overview

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Pharmacogenetics and pharmacogenomics examine how genetic factors influence an individual's response to drugs. While pharmacogenetics focuses on the impact of specific genetic variants on drug effects, pharmacogenomics takes a broader approach, studying how genetic variation across populations contributes to differences in drug responses. These fields aim to explain why individuals may experience varying levels of efficacy or adverse reactions to the same medication.Variability in drug...
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Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

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Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...
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相关实验视频

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iCLIP - Transcriptome-wide Mapping of Protein-RNA Interactions with Individual Nucleotide Resolution
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iCLIP - Transcriptome-wide Mapping of Protein-RNA Interactions with Individual Nucleotide Resolution

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格雷戈:加速罕见疾病的基因组学

Moez Dawood1,2,3, Ben Heavner4, Marsha M Wheeler4

  • 1Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.

ArXiv
|January 7, 2025
PubMed
概括
此摘要是机器生成的。

基因组学研究以阐明罕见疾病的遗传学 (GREGoR) 联盟通过应用先进的基因组学来加速罕见疾病的诊断. 它共享大量数据,以改善未解决病例的遗传诊断方法.

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科学领域:

  • 基因组学就是基因组学.
  • 罕见疾病 罕见疾病
  • 遗传诊断 遗传诊断 遗传诊断 是一个

背景情况:

  • 罕见疾病影响全球每20人中有1人,但超过一半的人缺乏遗传诊断.
  • 在DNA测序和数据共享方面的进步改善了罕见疾病诊断.
  • 尽管之前进行了临床遗传检测,但许多患者仍然未被诊断出来,通常是外体阴性.

研究的目的:

  • 为了研究成千上万个具有挑战性的罕见疾病病例和家族.
  • 应用,标准化和评估新兴的基因组学技术和分析.
  • 加速在临床罕见病诊断中采用先进的基因组学.

主要方法:

  • 成立了基因组学研究以阐明罕见疾病遗传学 (GREGoR) 联盟.
  • 收集和分析了来自3000个家庭的7500个个体的基因组数据.
  • 通过基因组数据科学分析,可视化和信息学实验室空间 (AnVIL) 提供数据.

主要成果:

  • 创建了一个具有挑战性的罕见疾病病例的基础数据集.
  • 为评估和标准化新基因组学技术提供了一个资源.
  • 促进了全球研究工作,以开发改进的遗传诊断方法.

结论:

  • 格雷戈联盟为推进罕见疾病基因组学提供了必要的资源.
  • 共享的数据和框架将催化新型诊断解决方案的开发.
  • 这个倡议支持未来的罕见病遗传诊断.