Additional file 2 of Exploring metabolomics for colorectal cancer risk prediction: evidence from the UK Biobank and ESTHER cohorts

Additional file 2: Table S1 Overview on colorectal cancer–related single-nucleotide variants identified in genome-wide association studies and considered in this analysis, based on Thomas et al. Table S2 Baseline characteristics of study participants stratified by training or testing set in the UK Biobank cohort. Table S3 β coefficient of HR (95% CI) and p values of colorectal cancer for the selected metabolites in Cox proportional hazards model. Table S4 Performance of the individual and combined 5-year and 10-year risk prediction panels, by internal and external validation. Table S5 Diagnostic performance of NRI and IDI between MRP and the combined models. Table S6 Discriminatory ability of the MRP in subgroups defined by ERP risk factors. Table S7 Cox proportional hazards models of the MRP in subgroups defined by ERP risk factors. Fig. S1 Correlation matrix of the selected metabolites in the UK Biobank training set.

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Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.29079325
Primary Topic
Metabolomics and Mass Spectrometry Studies
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article
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Additional file 2 of Exploring metabolomics for colorectal cancer risk prediction: evidence from the UK Biobank and ESTHER cohorts

Figshare
Metabolomics and Mass Spectrometry Studies
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Additional file 2 of Exploring metabolomics for colorectal cancer risk prediction: evidence from the UK Biobank and ESTHER cohorts

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Abstract

Additional file 2: Table S1 Overview on colorectal cancer–related single-nucleotide variants identified in genome-wide association studies and considered in this analysis, based on Thomas et al. Table S2 Baseline characteristics of study participants stratified by training or testing set in the UK Biobank cohort. Table S3 β coefficient of HR (95% CI) and p values of colorectal cancer for the selected metabolites in Cox proportional hazards model. Table S4 Performance of the individual and combined 5-year and 10-year risk prediction panels, by internal and external validation. Table S5 Diagnostic performance of NRI and IDI between MRP and the combined models. Table S6 Discriminatory ability of the MRP in subgroups defined by ERP risk factors. Table S7 Cox proportional hazards models of the MRP in subgroups defined by ERP risk factors. Fig. S1 Correlation matrix of the selected metabolites in the UK Biobank training set.

Figshare
German Cancer Research Center (DE), Heidelberg University (DE), Krebsregister Saarland (DE)
Reduced inequalities
Openalex Percentile: Top 61%
Metabolomics and Mass Spectrometry Studies
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Additional file 2 of Exploring metabolomics for colorectal cancer risk prediction: evidence from the UK Biobank and ESTHER cohorts · Figshare (2025) | TGRS Research Map | TGRS