Related Experiment Video
Updated: May 22, 2026
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 studies with metabolomics.
1Helmholtz Zentrum München, German Research Center for Environmental Health, Institute of Experimental Genetics, Genome Analysis Center, 85764 Neuherberg, Germany. Adamski@helmholtz-muenchen.de.
Genome Medicine
|May 2, 2012
Summary
Genome-wide association studies (GWAS) combined with metabolomics (mGWAS) offer powerful insights into disease mechanisms. This approach enhances understanding of genetic and environmental factors in metabolic diseases like diabetes.
Area of Science:
- Genetics and Omics
- Metabolic Disease Research
Background:
- Genome-wide association studies (GWAS) identify genetic links to diseases but often fail to reveal underlying mechanisms.
- Metabolomics provides molecular phenotypes, revealing associations between diseases and metabolic pathways previously undetected by GWAS.
Purpose of the Study:
- To review the limitations of traditional GWAS in uncovering disease mechanisms.
- To highlight how integrating metabolomics with GWAS (mGWAS) overcomes these limitations, particularly for metabolic diseases.
Main Methods:
- Review of existing literature on GWAS and metabolomics applications.
- Focus on the combined approach of mGWAS for analyzing genetic and environmental impacts on homeostasis.
Main Results:
- mGWAS successfully explains associations between specific genetic loci (e.g., FADS1, ELOVL2, SLC16A9) and lipid concentrations.
- Significant progress has been made in understanding metabolic diseases like diabetes, obesity, and dyslipidemia through mGWAS.
Conclusions:
- Combining GWAS with metabolomics (mGWAS) provides robust, quantitative data essential for developing diagnostics and targeted therapies.
- mGWAS is a powerful tool for elucidating complex disease mechanisms and improving patient outcomes in metabolic disorders.
Related Concept Videos
01:11Genome-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...
GWAS does not require the identification of the target gene involved in...
02:02Genomics
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...
01:27Pharmacogenetics of Drug Metabolism: Overview
Genetic polymorphism in drug metabolism is crucial to the inter-individual variability observed in drug responses. Drug metabolism primarily involves the chemical modification of drugs and other xenobiotics to enhance their elimination by increasing their polarity. Two main classes of enzymes mediate this biotransformation process: Phase I enzymes, primarily cytochrome P450s, catalyze oxidation and reduction reactions, while other enzymes, such as esterases, mediate hydrolysis, and Phase II...
01:29Pharmacogenomics: 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...