Investigating the causal effect of previously reported therapeutic agents for colorectal cancer prevention: protocol for a Mendelian randomization analysis.
Ella FryerRichard M MartinPhilip HaycockJames YarmolinskyPublished in: Wellcome open research (2024)
We will use two-sample MR, which uses two independent samples for the exposure and outcome data, to investigate previously reported observational associations of multiple potential preventive agents with CRC risk. We define preventive agents as any synthetic (e.g. approved medication) or natural (e.g. micronutrient, endogenous hormone) molecule used to reduce the risk of cancer. We will first extract potential preventive agents that have been previously linked to CRC risk in observational studies from reviews of the literature. We will then evaluate whether we can develop a genetic instrument for each preventive agent from previously published genome-wide association studies (GWASs) of direct measures of molecular traits (e.g. circulating levels of protein drug targets, blood-based biomarkers of dietary vitamins). The summary statistics from these GWASs, and a large GWAS of CRC, will be used in two-sample MR analyses to investigate the causal effect of putative preventive therapy agents on CRC risk. Sensitivity analyses will be conducted to evaluate the robustness of findings to potential violations of MR assumptions.
Keyphrases
- systematic review
- magnetic resonance
- contrast enhanced
- randomized controlled trial
- genome wide
- oxidative stress
- magnetic resonance imaging
- human health
- machine learning
- gene expression
- dna methylation
- binding protein
- deep learning
- cross sectional
- small molecule
- artificial intelligence
- squamous cell
- single molecule
- patient reported outcomes
- case control