Post-GWAS Analysis

Introduction of Post-GWAS Analysis

Fig 1 Analysis Process of Post-GWAS Analysis.

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.

CD ComputaBio uses artificial intelligence to provide one-stop service for life science research. Here, we provide post-GWAS array analysis based on PrediXcan according to customers’ requirement. If you have any GWAS analysis-related needs, please feel free to contact us, we will provide you with the most professional and considerate service according to your needs. We sincerely look forward to working with you!


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