Overview

Obesity is caused by a variety of factors, including genetic factors, the environment, various behaviors, etc. The monogenic type is caused by a single gene defect or chromosomal deletion. Polygenic phenotypes are the more common type, and hundreds of genetic polymorphisms lead to obesity phenotypes. WGS analyses the entire genome to provide valuable information for identifying obesity-related genes and understanding the molecular mechanisms of obesity. Many obesity-related gene mutations and copy number mutation sites have been identified by WGS. Protheragen provides a WGS-based obesity-related gene identification service based on its understanding of the molecular mechanisms of obesity and efficient workflow. Through a rapid and comprehensive solution, we comprehensively decipher the information on mutations in the genome and determine their correlation with obesity.

Enabling the Identification and Study of Obesity-related Genes Through WGS

Our experienced research team has developed a WGS bioinformatics analysis process with high accuracy for obesity. By sequencing different samples and comparing them with the original genes, we obtain rich genome-wide variant information and perform bioinformatic analyses at different levels. Specific services include the following:

• WGS

  We sequence the whole genome of a sample to discover information such as sequence or structural variation to analyze the genetic variability of individual samples, and the development of next-generation sequencing (NGS) technology has made sequencing faster and easier.

• Bioinformatics analysis

  Our experienced research team uses advanced tools to accurately process large amounts of genomic data and perform the following analyses.

  • Genomic variation: We use sequence alignment software and variant calling algorithms to compare test genomes with reference genomes and analyze insertion deletions, structural variants, copy number variants, and single nucleotide variants.
  • Functional annotation and pathway enrichment analysis: We perform Gene Ontology (GO) functional annotation and pathway enrichment analysis using KEGG (Kyoto Encyclopedia of Genes and Genomes) and other tools. By assigning genes to different functional classifications, we understand the role of these genes in biological processes, their functions, and their correlation with obesity. Ultimately, new candidate obesity-related genes are screened by comprehensive analysis and comparison.

  Based on extensive experience in sample processing, our services apply to a wide range of samples:

  • Animal models: Analysing the genomes of animal model organisms is widely used to understand the genetic basis of complex traits and obesity. We have developed tailored WGS and bioinformatics analyses for a wide range of monogenic and polygenic obesity types.
  • Other sample types: DNA, tissue, cells, serum, whole blood, etc.

Anti-obesity Therapy Development

We also offer a full range of anti-obesity therapy development services. Mechanisms of action include boosting energy expenditure, appetite control, and many other aspects. Therapeutic targets include receptors, signaling molecules, and so on. Based on the research needs of our clients, we select appropriate targets, and then customize exclusive anti-obesity therapeutic programs and evaluate their therapeutic efficacy and safety.

Workflow

The rapid development of NGS technology and mass data computational methods enable us to analyze a large number of obesity genomic profiles by WGS to screen for new obesity-related genes.

Applications

• WGS detects insertion deletions, copy number variations, chromosomal structural variations, single-nucleotide polymorphisms (SNPs), etc., and discovers the link between DNA mutations and obesity, thus providing researchers with new obesity candidate genes to study obesity.
• WGS provides a complete genetic map to help identify specific gene mutations and variants that contribute to obesity, thus helping to construct accurate obesity models and understand disease mechanisms.
• Identification of obesity-related genes by WGS provides valuable information for anti-obesity gene therapy, cell therapy, and drug development.

Advantages

• Our research team has many years of experience in sample processing involving various types of experimental samples such as obesity animal models, tissues, cells, sera, and so on.
• We use efficient analysis software to analyze the large amount of data obtained through WGS in a short period of time.
• We provide valuable information for the identification of obesity-related genes and the study of molecular mechanisms by providing high-quality solutions for all mutation types in the whole genome.

Publication Data

Frequently Asked Questions

Which bioinformatics tools are used for WGS analysis?

Variant calling algorithms, sequence alignment software, and annotation tools play an important role in WGS analysis. These tools are used to process and interpret genomic data to identify potential obesity-related genes and understand genetic variation and potential effects.

How can WGS be applied to obesity research?

WGS bioinformatics analyses can identify mutations, structural variants, copy number variations, and more in the obesity genome. These variants are analyzed to further understand the genetic basis of obesity. It may also identify new obesity candidate genes and potential therapeutic targets, providing theoretical support for the development of targeted therapeutic strategies.

How to analyze obesity-related genes through functional annotation?

Functional annotation allows linking genetic variants to pathways and biological functions, which is critical to understanding the association between genetic variants and obesity and aids researchers in further studies and therapeutic development.

Protheragen has many years of practical experience in deep sequencing and provides a high-quality WGS-based obesity-related gene identification service. Through high-throughput sequencing, comprehensive variant detection, and functional annotation, we help to achieve detailed gene analysis, which facilitates the discovery of obesity-related genes and therapeutic targets. Please feel free to contact us to discuss the detailed analysis process and for a detailed quote.

All of our services and products are intended for preclinical research use only and cannot be used to diagnose, treat or manage patients.