So You Identified a Disease-Associated SNP – Now What? A New eBook on eQTL Analysis Can Help

Thermo Fisher Scientific has partnered with Biocompare to create an essential guide to the next steps after identifying disease-associated SNPs: “Advancing Disease Research through eQTL Analysis and Biomarker Signatures.”

Expression quantitative trait loci (eQTLs) are genomic SNPs that contribute to variation in gene expression. The link between genes and diseases isn’t always clear. Genome-wide association studies (GWAS) identify SNPs associated with disease, and then eQTL analysis identifies SNPs that affect gene expression. As described in this eBook, the overlap of SNPs and eQTLs can point to gene expression changes that contribute to disease phenotypes.

In this comprehensive eBook, you will learn more about:

• The importance of eQTLs in understanding the link between genotype and phenotype
• A complete workflow for eQTL analysis, as demonstrated in a collaborative study on lung adenocarcinoma
• The use of Thermo Fisher Scientific products and solutions from discovery through verification
• Other resources to help you in your research

 

The eBook is organized into 5 chapters. Three of them are Biocompare articles, the first of which is a new piece specific for this eBook. Two of them are Thermo Fisher Scientific white papers.

• A Deeper Understanding of Your GWAS Results
  • A combination of genomics and transcriptomics delivers eQTLs—potential biomarkers for traits identified in GWAS.
• A Complete Workflow for Discovery and Verification of eQTLs in Lung Adenocarcinoma
  • Studying eQTLs associated with lung adenocarcinoma could help provide further insights into the molecular mechanisms of this diseases
• Genomics Is Driving New Opportunities in Genetic Disease Research
  • Genome-wide analysis can be a highly productive approach to the study of single-gene defect diseases.
• Navigating the GTEx eQTL Database and Using TaqMan Assays to Verify eQTL Links in Disease Research
  • It has been estimated that as many as 90% of SNPs identified in GWAS map to noncoding regions.
• Precision from Single Nucleotide Variants
  • Advances in sequencing and data analysis have improved our understanding of SNVs and thus precision medicine.

Request your free copy today at https://www.biocompare.com/eQTLeBookrequest