This repository is the codebase for molecular epidemiology projects on colorectal cancer, usually in the EPIC cohort. Code for other cancer studies was originally stored here, but this have now been moved to separate repos. See the wiki for further details and descriptions of analyses.

The aim of this study was to determine a metabolic signature of cancer-preventing or cancer-promoting lifestyle according to the WCRF score as described by Romaguera et al (2012). PLS was used to determine the signature in a large group of control subjects from various EPIC case-control studies, for both Biocrates compounds and fatty acids. Once derived, colorectal cancer case-control status was modelled from these signatures, in the form of predicted scores, and compared to models using the original calculated scores to find if metabolic signature better predicts CRC than calculated score only.

(1) Rothwell et al. (2020) Metabolic Signatures of Healthy Lifestyle Patterns and Colorectal Cancer Risk in a European Cohort. Clinical Gastroenterology and Hepatology 2022 May;20(5):e1061-e1082. doi: 10.1016/j.cgh.2020.11.045. Epub 2020 Dec 29.

A study of precancerous colorectal lesions (adenoma and polyp) as well as colorectal cancer in a hospital based cross-sectional study.

(1) Rothwell et al. (In Preparation) Endogenous metabolic profiles associated with colorectal neoplasia: a targeted metabolomics study.