DOI: 10.6084/m9.figshare.26620384
title: Additional file 1 of Understanding the relationship between circulating lipids and risk of chronic kidney disease: a prospective cohort study and large-scale genetic analyses

description: Additional file 1: Table S1. Characteristics of genetic instruments of HDL-C. Table S2. Characteristics of genetic instruments of LDL-C. Table S3. Characteristics of genetic instruments of TC. Table S4. Characteristics of genetic instruments of TG. Table S5. Characteristics of genetic instruments of chronic kidney disease. Table S6. Characteristics of genetic instruments of estimated glomerular filtration rate. Table S7. Data sources, sample sizes, number of instruments, and F-statistics. Table S8. Baseline Characteristics of UK Biobank participants by chronic kidney disease status during follow-up. Table S9. Observational associations between lipids and the risk of chronic kidney disease. Table S10. Pleiotropic SNPs identified by cross-trait meta-analysis between lipids and chronic kidney disease. Table S11. Pleiotropic SNPs identified by a cross-trait meta-analysis between lipids and estimated glomerular filtration rate. Table S12. Detailed annotation of shared SNPs of HDL-C and chronic kidney disease identified from a cross-trait meta-analysis. Table S13. Detailed annotation of shared SNPs of LDL-C and chronic kidney disease identified from a cross-trait meta-analysis. Table S14. Detailed annotation of shared SNPs of TC and chronic kidney disease identified from a cross-trait meta-analysis. Table S15. Detailed annotation of shared SNPs of TG and chronic kidney disease identified from a cross-trait meta-analysis. Table S16. Detailed annotation of shared SNPs of HDL-C and estimated glomerular filtration rate identified from a cross-trait meta-analysis. Table S17. Detailed annotation of shared SNPs of LDL-C and estimated glomerular filtration rate identified from a cross-trait meta-analysis. Table S18. Detailed annotation of shared SNPs of TC and estimated glomerular filtration rate identified from a cross-trait meta-analysis. Table S19. Detailed annotation of shared SNPs of TG and estimated glomerular filtration rate identified from a cross-trait meta-analysis. Table S20. List of SNPs in the 99% credible set identified from fine-mapping analysis for each CPASSOC-identified locus shared between HDL-C and chronic kidney disease. Table S21. List of SNPs in the 99% credible set identified from fine-mapping analysis for each CPASSOC-identified locus shared between LDL-C and chronic kidney disease. Table S22. List of SNPs in the 99% credible set identified from fine-mapping analysis for each CPASSOC-identified locus shared between TC and chronic kidney disease. Table S23. List of SNPs in the 99% credible set identified from fine-mapping analysis for each CPASSOC-identified locus shared between TG and chronic kidney disease. Table S24. List of SNPs in the 99% credible set identified from fine-mapping analysis for each CPASSOC-identified locus shared between HDL-C and estimated glomerular filtration rate. Table S25. List of SNPs in the 99% credible set identified from fine-mapping analysis for each CPASSOC-identified locus shared between LDL-C and estimated glomerular filtration rate. Table S26. List of SNPs in the 99% credible set identified from fine-mapping analysis for each CPASSOC-identified locus shared between TC and estimated glomerular filtration rate. Table S27. List of SNPs in the 99% credible set identified from fine-mapping analysis for each CPASSOC-identified locus shared between TG and estimated glomerular filtration rate. Table S28. Results from colocalization analysis for each pleiotropic locus identified from CPASSOC between lipids and chronic kidney disease. Table S29. Results from colocalization analysis for each pleiotropic locus identified from CPASSOC between lipids and estimated glomerular filtration rate. Table S30. Significant shared transcriptome-wide association analysis results between lipids and chronic kidney disease after Conditional/Joint Analysis. Table S31. Significant shared transcriptome-wide association analysis results between lipids and estimated glomerular filtration rate after Conditional/Joint Analysis. Table S32. Estimated causal association between HDL-C and chronic kidney disease using non-overlapped data.