Post-GWAS Analysis

Post-GWAS Analysis

Introduction of Post-GWAS Analysis

• Genome-wide association study (GWAS) is a method to find variant sequences in the whole genome of humans or plants and animals. The principle of whole-genome association analysis is to use millions of single nucleotide polymorphisms (SNPs) in the genome as molecular genetic markers to conduct control analysis or correlation analysis at the whole-genome level. It is a strategy of discovering gene mutations that affect complex traits through comparison. GWAS analysis methods can discover and identify a large number of genetic variations associated with complex traits.

Fig 1 Analysis Process of Post-GWAS Analysis.

Analysis Content

• Conduct group stratification analysis, analyze and understand the stratification information of materials.
• Perform linkage disequilibrium analysis, the level of linkage disequilibrium can determine the accuracy of the association analysis and the number of selected markers.
• Combining population genotype and phenotype data, use a mixed linear model to perform genome-wide association analysis, and perform gene function annotations on the analyzed sites that are strongly associated with the target trait.
• Use PrediXcan's predict function to estimate the gene expression level regulated by SNP.
• Association analysis of gene expression and target traits.

Application Filed

• Research on susceptibility genes for tumors and complex diseases.
• Disease warning, genetic counseling, early diagnosis, risk assessment and drug selection.
• Research on crop specific traits.