Integrative Analysis of Metabolomics and GWAS
Based on the advanced technology platform, Creative Proteomics provides metabolome assays and Genome-Wide Association Study (GWAS) sequencing services, and offers integrative analysis of metabolomics and GWAS. We can provide one-stop service from experimental design, sample detection, independent omics data analysis to comprehensive analysis to meet various research needs.
Why Do Metabolomics and GWAS Integration Analysis?
The types and amounts of metabolites vary greatly among species and tissues. GWAS sequencing using second-generation sequencing technology is used to obtain genotype data (Genotype) of the population material. Integrating metabolomics data and GWAS sequencing data for analysis can pinpoint the relevant candidate genes controlling metabolic phenotypes (quality, functional nutritional molecules, etc.) in bulk and uncover the mechanisms of metabolic pathways related to regulation of nutrition and quality, which will help us gain insight into metabolic genetic mechanisms and accelerate the breeding of new high-quality varieties.
The integrated analysis of metabolomics and GWA can be applied to the localization of genes with high genetic effects and gene function studies, providing new ideas for disease mechanism research. It has been used to study the genetic mechanism of various diseases (such as cancer, obesity, cardiovascular disease, diabetes, depression and Alzheimer's disease) and plant and animal genetics (such as tomato, cotton and maize).
Our Integrative Analysis Services of Metabolomics and GWAS
Creative Proteomics provides you with metabolome assays and Genome-Wide Association Study (GWAS) sequencing services. In addition, we provide integrative analysis services for metabolomics and GWAS, seamlessly connecting your experiments to provide powerful insights into the evidence of complex life activity mechanisms.
Bioinformatics Analysis
- mQTL analysis
- Gene function analysis
- Others
General research idea: if the natural population has subgroups, perform differential metabolite expression analysis. Next, association analysis to find loci, focusing on loci that control differential metabolites. Further, gene cloning is performed to investigate the mechanism of variant regulation of metabolites. Again, loci are compared to study evolution and population genetics; finally, we can know how metabolites affect phenotypic changes (e.g. pathway levels).
Sample Requirements
- Population size: it is recommended to select 300 or more materials, selected natural population materials and artificial population materials (such as RIL).
- Sample weight: each sample fresh sample weight is recommended ≥ 3g, with a minimum amount of 1g.
- Biological replicates: 2 biological replicates per species.
Delivery Content
Creative Proteomics will provide you with a detailed report, including:
- Raw sequencing data
- Related analysis software and parameters used
- Graphs obtained from the integrated analysis
Service Process
Our Advantages
- Extensive experience and high quality service.
- One-stop service.
- Powerful analytical capabilities.
- Customized analysis mode.
- There are also GWAS chips for you to choose from. We have human GWAS chips with classical chips for global population and a series of commercial chips such as 2.5M for higher density. In addition, we have a series of commercial microarrays for animals and plants, with classical detection technology and extensive scientific applications, to ensure the accuracy of genome-wide genotyping data.
Creative Proteomics relies on advanced platforms and cutting-edge technologies to provide omics services to customers around the world, and provide accurate and detailed analysis reports. In addition, we also provide multi-omics integrated analysis services. If you want to know more, please contact us, Creative Proteomics can be trusted.
For Research Use Only.
