Abstract: FR-PO922
Causal Effects of Kidney Function on Various Biochemical Parameters: A Mendelian Randomization Study
Session Information
- CKD: Epidemiology, Risk Factors, Prevention - II
November 04, 2022 | Location: Exhibit Hall, Orange County Convention Center‚ West Building
Abstract Time: 10:00 AM - 12:00 PM
Category: CKD (Non-Dialysis)
- 2201 CKD (Non-Dialysis): Epidemiology‚ Risk Factors‚ and Prevention
Authors
- Park, Sehoon, Seoul National University Hospital, Jongno-gu, Seoul, Korea (the Republic of)
- Kim, Yong Chul, Seoul National University Hospital, Jongno-gu, Seoul, Korea (the Republic of)
- Han, Seung Seok, Seoul National University Hospital, Jongno-gu, Seoul, Korea (the Republic of)
- Lee, Hajeong, Seoul National University Hospital, Jongno-gu, Seoul, Korea (the Republic of)
- Joo, Kwon Wook, Seoul National University Hospital, Jongno-gu, Seoul, Korea (the Republic of)
- Kim, Yon Su, Seoul National University Hospital, Jongno-gu, Seoul, Korea (the Republic of)
- Kim, Dong Ki, Seoul National University Hospital, Jongno-gu, Seoul, Korea (the Republic of)
Background
The causal effects of the estimated glomerular filtration rate (eGFR) on various biochemical parameters should be further investigated. Mendelian randomization (MR) provides opportunity to investigate causal estimates minimally affected from confounding effects or reverse causation.
Methods
In this MR study, genetic instruments for eGFR were developed from the CKDGen data from subjects of European ancestry (N=567,460). Two-sample MR analysis was performed on 60 biochemical parameters measured in 337,138 white UK Biobank participants of British ancestry. Both the inverse variance–weighted method and pleiotropy-robust MR sensitivity analyses were performed. Additional nonlinear MR analysis was performed to investigate the shapes of the causal estimates according to eGFR values.
Results
A higher genetically predicted eGFR was significantly associated with higher lymphocyte percentage, HDL cholesterol, and alanine aminotransferase. The causal estimates indicated that a higher genetically predicted eGFR was associated with a lower urea, urate, insulin growth factor-1, and triglycerides levels. The parameters with significant but non-liner causal estimates were hemoglobin concentration, calcium, vitamin D, and urine creatinine values, identified by non-linear MR.
Conclusion
In conclusion, eGFR levels may causally related to various biochemical parameters with diverse patterns.