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

Evolutionary Relationships through Genome Comparisons

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...
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,...
Human Genetics01:28

Human Genetics

Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
The complex relationship between genetics and psychology is observable through common biological components such...

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Related Experiment Video

Updated: Jun 24, 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

[Genome-wide association approach].

Gilles Thomas1

  • 1Synergie Lyon Cancer, 150, cours Albert Thomas, 69008 Lyon, France. gilles.thomas@inserm.fr

Medecine Sciences : M/S
|April 14, 2009
PubMed
Summary
This summary is machine-generated.

Genome-wide association studies (GWAS) effectively identify genetic variants linked to complex diseases. Recent GWAS have uncovered novel cancer susceptibility genes, paving the way for improved risk prediction and targeted prevention strategies.

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Last Updated: Jun 24, 2026

Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization
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Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
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Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

Area of Science:

  • Genetics
  • Genomics
  • Human Disease Research

Context:

  • Genome-wide association studies (GWAS) are a powerful tool for identifying genetic variants associated with complex human diseases.
  • Advancements in genetic knowledge, genotyping, statistical algorithms, and large case-control collections have enabled large-scale GWAS.
  • Numerous GWAS have been completed, with more studies investigating the genetic basis of complex diseases and quantitative traits forthcoming.

Purpose:

  • To highlight the success and ongoing advancements of genome-wide association studies in identifying genetic underpinnings of complex diseases.
  • To report the discovery of new cancer susceptibility genes and loci through recent large genotyping studies.
  • To discuss the implications of these findings for understanding disease mechanisms and developing personalized medicine approaches.

Summary:

  • Recent large-scale genome-wide association studies have identified a new set of cancer susceptibility genes and loci characterized by common risk alleles.
  • Many of these newly identified loci were not previously suspected to be involved in carcinogenesis, suggesting novel disease mechanisms.
  • While individual risk alleles confer low risk (≤1.3-fold), their combined effects hold potential for risk prediction, targeted screening, and prevention strategies as more loci are discovered.

Impact:

  • Identified novel genetic factors contributing to complex diseases, particularly cancer.
  • Revealed previously unknown biological pathways and mechanisms involved in disease development.
  • Provides a foundation for improved disease risk prediction, early detection, and personalized prevention strategies.