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Updated: Mar 19, 2026

Assessment of Kidney Function in Mouse Models of Glomerular Disease
Published on: June 30, 2018
Mendelian Randomisation study of the influence of eGFR on coronary heart disease
Pimphen Charoen1,2, Dorothea Nitsch1, Jorgen Engmann3
1Department of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, UK.
Insights
This study investigated if reduced kidney function causes coronary heart disease using genetic data. While initial analysis suggested a link, further investigation revealed conflicting results, leaving the causal relationship unclear.
Area of Science:
- Nephrology
- Cardiology
- Genetics
Background:
- Observational studies link impaired kidney function (reduced estimated glomerular filtration rate, eGFR) to increased coronary heart disease (CHD) risk.
- The causal nature of this association remains uncertain due to potential confounding factors and reverse causation.
Purpose of the Study:
- To investigate the causal role of kidney function on coronary heart disease (CHD) using Mendelian randomization analysis.
- To clarify whether reduced eGFR is a causal risk factor for CHD.
Main Methods:
- Mendelian randomization analysis was employed using 17 genetic variants associated with eGFR.
- Data from the UCL-LSHTM-Edinburgh-Bristol (UCLEB) Consortium (13,145 participants) and the CARDIoGRAMplusC4D consortium (194,427 participants) were utilized.
- Both unweighted and weighted gene scores were analyzed for association with CHD risk.
Main Results:
- An unweighted gene score showed a significant association with increased CHD risk (OR=0.983 per eGFR-increasing allele, P=0.008).
- However, using weights derived from the UCLEB sample, the gene score was not significantly associated with CHD risk (P=0.11).
- A single nucleotide polymorphism (SNP), rs653178, with known pleiotropic effects, may explain the conflicting results, preventing a definitive causal conclusion.
Conclusions:
- The study did not establish a causal link between impaired kidney function and coronary heart disease using Mendelian randomization.
- The observational association between reduced eGFR and increased CHD risk persists as an open question, as confounding and reverse causation were not identified as explanations.
Abstract:
Impaired kidney function, as measured by reduced estimated glomerular filtration rate (eGFR), has been associated with increased risk of coronary heart disease (CHD) in observational studies, but it is unclear whether this association is causal or the result of confounding or reverse causation. In this study we applied Mendelian randomisation analysis using 17 genetic variants previously associated with eGFR to investigate the causal role of kidney function on CHD. We used 13,145 participants from the UCL-LSHTM-Edinburgh-Bristol (UCLEB) Consortium and 194,427 participants from the Coronary ARtery DIsease Genome-wide Replication and Meta-analysis plus Coronary Artery Disease (CARDIoGRAMplusC4D) consortium. We observed significant association of an unweighted gene score with CHD risk (odds ratio = 0.983 per additional eGFR-increasing allele, 95% CI = 0.970-0.996, p = 0.008). However, using weights calculated from UCLEB, the gene score was not associated with disease risk (p = 0.11). These conflicting results could be explained by a single SNP, rs653178, which was not associated with eGFR in the UCLEB sample, but has known pleiotropic effects that prevent us from drawing a causal conclusion. The observational association between low eGFR and increased CHD risk was not explained by potential confounders, and there was no evidence of reverse causation, therefore leaving the remaining unexplained association as an open question.
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