Whole-Exome Sequencing (WES)-based Obesity-Related Gene Identification Service
InquiryOverview
Obesity is a highly complex disease whose occurrence and development are influenced by the interaction of genetic background, environment, and other factors. Identifying genetic variants associated with obesity is critical to understanding Disease Heterogeneity, revealing potential pathogenesis, and developing novel diagnostic markers and targeted therapeutic strategies.
Precision WES: Identifying Obesity-Related Genes
Protheragen offers a specialized WES-based obesity-related gene identification service, which focuses on capturing and sequencing DNA sequences in all protein-coding regions (exons) of the genome, and is a powerful tool for rapid and efficient discovery of mutations associated with protein function variation. We provide an end-to-end service and aim to identify candidate genes and variants associated with obesity phenotypes from complex genetic data through high-depth sequencing and specialized bioinformatics analysis.
Experimental Procedure
- Sample reception and quality control
DNA or biological samples from clients are received. Sample quality (concentration, purity, integrity) is critically evaluated to ensure that downstream sequencing requirements are met.
- Library preparation and exon capture
High-quality DNA samples are fragmented according to standard or optimized protocols. Exon capture systems are then utilized to enrich DNA fragments in exonic regions.
- High-throughput sequencing
Using advanced high-throughput sequencing platforms, exon capture libraries are deeply sequenced to generate high-quality raw sequencing data.
- Bioinformatics analysis
Upon completion of the service, you receive a comprehensive data package and analysis report, including raw sequencing data, comparison results, variant detection, and other related analyses.
- Raw data quality control and filtering
- Sequence alignment
- Single-nucleotide variants (SNPs) and insertions/deletions (Indels) identification
- Detailed annotation of variants
- Variant screening
- Database integration analysis
Sample Requirements
Genomic DNA is the preferred sample type. Samples such as blood, saliva, fresh/frozen tissue, and FFPE tissue are also accepted.
Workflow
Applications
- Identification of mutations by WES to understand the differences in the genetic basis of obesity in different individuals or subtypes provides useful information to explore the mechanisms of obesity.
- Identification of new obesity-related genes by WES helps to develop new drug targets and novel anti-obesity drugs.
- Screening candidate genes that are closely related to the development of obesity can help identify potential molecular biomarkers that can be used for early diagnosis, risk assessment, or prognosis of obesity.
Advantages
- We specialize in obesity research and have a team of experts with a deep understanding of obesity biology who can provide insightful bioinformatics analysis and interpretation of results.
- We use leading sequencing technologies to ensure high coverage and accuracy of experimental data.
- We can adjust protocols, sequencing depth, and analysis content according to your specific project needs and sample requirements.
One-stop Anti-obesity Research Support
Publication Data
Technology: WES
Journal: Frontiers in Endocrinology
IF:
Published: 2024
Results: In this study, the researchers combined WES and postoperative data to test candidate single-gene obesity variants (MOVs) in multiple obese patients. A transcoding mutation in the CAMKK2 gene was screened as a new candidate MOV, which was analyzed and found to affect metabolic improvement after bariatric surgery. This study confirms that WES combined with postoperative data can be used to detect new candidate MOVs, which provides a scientific basis for enriching the database of human single-gene obesity mutations and for accurate diagnosis and treatment.
Fig.1 Changes in weight loss rate of obese patients carrying/not carrying the CAMKK2 mutation 12 months after surgery. (Wang, et al., 2024)
Frequently Asked Questions
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What are the advantages of WES in obesity research?
WES efficiently covers most of the known disease-causing variant regions in the genome at a relatively low cost. Compared with whole genome sequencing, WES is a powerful tool for exploring the genetic basis of complex diseases (e.g., obesity) because of its clearer target regions, deeper coverage, higher data accuracy, and more cost-effective comprehensiveness. For the study of SNPs, InDel, and other variant types, WES identifies mutations not identified by whole-genome sequencing due to the high depth of sequencing.
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Can you help us interpret the analysis results?
Our service includes a detailed analysis report and biological interpretation. If you have further questions about the results or need more in-depth discussion, our experts are always happy to help.
Protheragen brings together top talents in genomics, bioinformatics, and metabolomics, and is committed to providing high-quality Services to help unravel the mechanisms of obesity and develop innovative diagnostic tools and therapeutic approaches. For a detailed proposal and quotation for WES-based obesity-related gene identification services, please do not hesitate to contact us.
Reference
- Wang, Y.; et al. Whole-exome sequencing combined with postoperative data identify c. 1614dup (CAMKK2) as a novel candidate monogenic obesity variant. Frontiers in Endocrinology. 2024, 15: 1334342. (CC BY 4.0)
All of our services and products are intended for preclinical research use only and cannot be used to diagnose, treat or manage patients.