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Related Concept Videos

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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...
Genomics02:02

Genomics

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...
Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

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,...
Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

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...
Pharmacogenetics and Pharmacogenomics: Overview01:29

Pharmacogenetics and Pharmacogenomics: Overview

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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Modern Molecular Taxonomy

Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...

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Related Experiment Video

Updated: May 15, 2026

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

Published on: July 27, 2021

Chapter 11: Genome-wide association studies.

William S Bush1, Jason H Moore

  • 1Department of Biomedical Informatics, Center for Human Genetics Research, Vanderbilt University Medical School, Nashville, Tennessee, United States of America. william.s.bush@vanderbilt.edu

Plos Computational Biology
|January 10, 2013
PubMed
Summary
This summary is machine-generated.

Genome-wide association studies (GWAS) are powerful tools for understanding human disease genetics. This review covers GWAS concepts, methods, and future directions beyond current approaches.

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Infinium Assay for Large-scale SNP Genotyping Applications
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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

Related Experiment Videos

Last Updated: May 15, 2026

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

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Published on: July 27, 2021

Infinium Assay for Large-scale SNP Genotyping Applications
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Published on: November 19, 2013

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

Area of Science:

  • Human genetics
  • Disease research
  • Genomic studies

Background:

  • Genome-wide association studies (GWAS) have become a key method in human disease genetics research over the past decade.
  • Understanding the genetic basis of complex diseases requires analyzing common human genetic variation.

Purpose of the Study:

  • To provide a comprehensive review of the fundamental concepts and methodologies of Genome-wide association studies (GWAS).
  • To discuss the technological advancements, study designs, and statistical analyses employed in GWAS.
  • To explore the future trajectory of genetic research beyond traditional GWAS.

Main Methods:

  • Review of key concepts in human disease genetics.
  • Explanation of common human genetic variation and its structure.
  • Overview of technologies for genetic data acquisition.
  • Description of various study designs used in genetic association studies.
  • Summary of statistical methods for analyzing GWAS data.

Main Results:

  • GWAS effectively elucidates the genetic architecture of human diseases.
  • The review synthesizes essential knowledge for researchers in the field.
  • Identifies critical components for successful GWAS implementation.

Conclusions:

  • Genome-wide association studies (GWAS) are instrumental in unraveling the genetic underpinnings of human diseases.
  • The field is continuously evolving, with future research extending beyond current GWAS paradigms.
  • A thorough understanding of GWAS principles is crucial for advancing genetic disease research.