Atrial fibrillation and kidney function: a bidirectional Mendelian randomization study

Author:

Park Sehoon12,Lee Soojin3,Kim Yaerim4ORCID,Lee Yeonhee3,Kang Min Woo5,Kim Kwangsoo6,Kim Yong Chul5,Han Seung Seok57ORCID,Lee Hajeong57ORCID,Lee Jung Pyo789,Joo Kwon Wook578ORCID,Lim Chun Soo789,Kim Yon Su1578,Kim Dong Ki578ORCID

Affiliation:

1. Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul 03080, Korea

2. Department of Internal Medicine, Armed Forces Capital Hospital, Gyeonggi-do 13574, Korea

3. Department of Internal Medicine, Uijeongbu Eulji University Medical Center, Gyeonggi-do 11759, Korea

4. Department of Internal Medicine, Keimyung University School of Medicine, Daegu 42601, Korea

5. Department of Internal Medicine, Seoul National University Hospital, Seoul 03080, Korea

6. Transdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Seoul 03080, Korea

7. Kidney Research Institute, Seoul National University, Seoul, Korea

8. Department of Internal Medicine, Seoul National University College of Medicine, Seoul 03080, Korea

9. Department of Internal Medicine, SMG-SNU Boramae Medical Center, Seoul 07061, Korea

Abstract

Abstract Aims The aim of this study was to investigate the causal effects between atrial fibrillation (AF) and kidney function. Methods and results We performed a bidirectional summary-level Mendelian randomization (MR) analysis implementing the results from a large-scale genome-wide association study for estimated glomerular filtration rate (eGFR) by the CKDGen (N = 765 348) and AF (N = 588 190) to identify genetic instruments. The inverse variance weighted method was the main MR method used. For replication, an allele score-based MR was performed by individual-level data within a UK Biobank cohort of white British ancestry individuals (N = 337 138). A genetic predisposition to AF was significantly associated with decreased eGFR [for log-eGFR, beta −0.003 (standard error, 0.0005), P < 0.001] and increased risk of chronic kidney disease [beta 0.059 (0.0126), P < 0.001]. The significance remained in MR sensitivity analyses and the causal estimates were consistent when we limited the analysis to individuals of European ancestry. Genetically predicted eGFR did not show a significant association with the risk of AF [beta −0.366 (0.275), P = 0.183]. The results were similar in allele score-based MR, as allele score for AF was significantly associated with reduced eGFR [for continuous eGFR, beta −0.079 (0.021), P < 0.001], but allele score for eGFR did not show a significant association with risk of AF [beta −0.005 (0.008), P = 0.530]. Conclusions Our study supports that AF is a causal risk factor for kidney function impairment. However, an effect of kidney function on AF was not identified in this study.

Funder

Industrial Strategic Technology Development Program

Ministry of Trade, Industry & Energy

Publisher

Oxford University Press (OUP)

Subject

Cardiology and Cardiovascular Medicine

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