IRT for CRC
  • Developing an Integrated Risk Prediction Tool for Colorectal Cancer
  • Cohort used for the study
  • Clinical risk factors
    • Creating the clinical dataframe
    • Creating the clinical risk model
    • Analyzing the results
  • Polygenic risk scores
    • PRSice
    • Preparing to use PRSice
    • Obtaining polygenic risk scores
    • Analyzing the results
    • Plink2
  • Integrated risk score
    • Obtaining integrated risk scores
    • Analyzing the results
  • Working with real patient data
    • Genetic data from Tempus Labs
      • Preparing the data and obtaining polygenic risk scores
      • Interpreting the scores
    • Clinical data from Gastroenterology Atlanta
      • Obtaining integrated scores and understanding the results
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  1. Clinical risk factors

Creating the clinical risk model

Command

The clinical risk score was computed using generalized linear models (GLM) in R as follows:

model_clinical <- glm(PHENO ~ Age + Sex + height + weight + physical_activity + meat + smoking + alcohol + father_cancer + mother_cancer + sibling_cancer + polyps + crohns_disease + ulcerative_colitis, data = merged_df, family = binomial)
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Last updated 1 year ago