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Genomics02:02

Genomics

35.6K
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...
35.6K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.9K
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...
5.9K
Genome Annotation and Assembly03:36

Genome Annotation and Assembly

16.8K
The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
16.8K
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

12.9K
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...
12.9K
Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

129
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...
129

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関連する実験動画

Updated: May 6, 2026

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

Published on: August 21, 2016

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ゲノム全体の関連研究をどのように解釈するか.

Thomas A Pearson1, Teri A Manolio

  • 1Office of Population Genomics, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892-2154, USA.

JAMA
|March 20, 2008
PubMed
まとめ

ゲノム全体の関連研究は,単核酸ポリモルフィズム (SNP) を使用した疾患の遺伝的変異を特定します. GWAの研究は発見に価値がありながら,限界があり,現在,直接的な臨床用途ではなく,発見ツールです.

科学分野:

  • 遺伝学とゲノミクス
  • 人間の遺伝学 人間の遺伝学

背景:

  • 全ゲノム関連研究 (GWA) は,一般的な疾患や特徴に関連した遺伝的変異を特定するための重要なツールです.
  • ハイ・スループット・ゲノタイピングは,遺伝的関連性を明らかにするために,数十万の単核酸ポリモルフィズム (SNP) を分析します.

研究 の 目的:

  • GWA研究の設計,解釈,応用,および限界を記述する.
  • 臨床医と科学者に,この進化する分野についての理解を提供するためです.

主な方法:

  • 高通量ゲノタイプ化技術を活用して,多数の単核酸ポリモルフィズム (SNP) を分析します.
  • 特定されたSNPを臨床状態と統計分析を通じて測定可能な特徴と関連付けます.

主要な成果:

  • 2005年以来,最大40の一般的な疾患と特徴のほぼ100のロシが特定され,複製されています.
  • 発見には,新しい遺伝子やゲノム領域が含まれるが,以前は病気と関連づけられていなかったものもある.

結論:

  • GWAの研究は,ゲノム機能と疾患メカニズムを理解するための強力な発見ツールです.
  • 制限には,偽陽性/偽陰性およびバイアスの可能性が含まれます; 直接的な臨床応用はまだ開発中です.

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Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration
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Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration

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Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
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関連する実験動画

Last Updated: May 6, 2026

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

Published on: August 21, 2016

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Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration
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Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration

Published on: January 9, 2020

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

Published on: July 27, 2021

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