DNA methylation markers for kidney function and progression of diabetic kidney disease

This page contains the main code and example dataset for the single-site and multi-site analysis in the manuscript:

Li, K.Y., Tam, C.H.T., Liu, H. et al. DNA methylation markers for kidney function and progression of diabetic kidney disease. Nat Commun 14, 2543 (2023). https://doi.org/10.1038/s41467-023-37837-7

The full list of EWAS results (search-based) and the multi-site prediction models are available here.

Requirement

• Python (>=3.7)
• NumPy (>=1.16)
• pandas (>=0.24)
• scikit-learn (>=0.20)
• statsmodels (>=0.9)
• Matplotlib (>=3.0)

Repo contents

• example_data: This folder contains the example methylation data and sample annotations.
• single-site: This folder contains the code and example results for running the single-site analysis.
• multi-site: This folder contains the code and example results for running the multi-site analysis.