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Published on: July 20, 2022
Assessment of the causal relevance of ECG parameters for risk of atrial fibrillation: A mendelian randomisation study
Parag Ravindra Gajendragadkar1,2, Adam Von Ende1, Maysson Ibrahim1
1CTSU, Nuffield Department of Population Health, BHF Centre of Research Excellence, University of Oxford, Oxford, United Kingdom.
Insights
Lifelong differences in electrocardiogram (ECG) parameters, especially PR interval, suggest a causal link to lower atrial fibrillation (AF) risk. These findings, independent of heart size, highlight diverse AF mechanisms and personalized treatment needs.
Area of Science:
- Cardiology
- Genetics
- Epidemiology
Background:
- Atrial remodeling in individuals with cardiovascular risk factors is linked to ECG changes and increased atrial fibrillation (AF) risk.
- The causal relationship between altered ECG parameters and AF development remains unclear.
- This study investigates the causal relevance of ECG parameters on AF risk using Mendelian randomization.
Purpose of the Study:
- To examine the potential causal relevance of electrocardiogram (ECG) parameters on the risk of developing atrial fibrillation (AF).
- To utilize Mendelian randomization (MR) to assess whether ECG parameters influence AF risk.
- To explore underlying mechanisms and potential implications for personalized AF treatment strategies.
Main Methods:
- Constructed weighted genetic scores for lifelong differences in P-wave duration, PR interval, and QT interval.
- Estimated associations between these ECG genetic scores and AF risk in UK Biobank participants (n=278,792; 19,132 AF cases).
- Replicated findings in an independent cohort (AFGen Consortium; 17,931 AF cases) and investigated mechanistic pathways.
Main Results:
- Genetic scores for longer P-wave duration (5 ms) and PR interval (5 ms) were significantly associated with *lower* AF risk (OR 0.91, P=2×10⁻⁴ and OR 0.94, P=2×10⁻¹⁹, respectively).
- Longer QT interval was not significantly associated with AF risk.
- These associations were independent of left atrial size and replicated in an independent cohort.
Conclusions:
- Lifelong differences in ECG parameters, particularly PR interval reflecting longer atrial conduction times, are causally associated with a reduced risk of AF.
- Findings suggest distinct pathophysiological mechanisms underlying AF, independent of atrial size and comorbidities.
- Results support the need for individualized treatment strategies in AF management.
Background:
Atrial electrical and structural remodelling in older individuals with cardiovascular risk factors has been associated with changes in surface electrocardiographic (ECG) parameters (e.g., prolongation of the PR interval) and higher risks of atrial fibrillation (AF). However, it has been difficult to establish whether altered ECG parameters are the cause or a consequence of the myocardial substrate leading to AF. This study aimed to examine the potential causal relevance of ECG parameters on risk of AF using mendelian randomisation (MR).
Methods And Findings:
Weighted genetic scores explaining lifelong differences in P-wave duration, PR interval, and QT interval were constructed, and associations between these ECG scores and risk of AF were estimated among 278,792 UK Biobank participants (mean age: 57 years at recruitment; 19,132 AF cases). The independent genetic variants contributing to each of the separate ECG scores, and their corresponding weights, were based on published genome-wide association studies. In UK Biobank, genetic scores representing a 5 ms longer P-wave duration or PR interval were significantly associated with lower risks of AF (odds ratio [OR] 0.91; 95% confidence interval [CI]: 0.87-0.96, P = 2 × 10-4 and OR 0.94; 95% CI: 0.93-0.96, P = 2 × 10-19, respectively), while longer QT interval was not significantly associated with AF. These effects were independently replicated among a further 17,931 AF cases from the AFGen Consortium. Investigation of potential mechanistic pathways showed that differences in ECG parameters associated with specific ion channel genes had effects on risk of AF consistent with the overall scores, while the overall scores were not associated with changes in left atrial size. Limitations of the study included the inherent assumptions of MR, restriction to individuals of European ancestry, and possible restriction of results to the normal ECG ranges represented in UK Biobank.
Conclusions:
In UK Biobank, we observed evidence suggesting a causal relationship between lifelong differences in ECG parameters (particularly PR interval) that reflect longer atrial conduction times and a lower risk of AF. These findings, which appear to be independent of atrial size and concomitant cardiovascular comorbidity, support the relevance of varying mechanisms underpinning AF and indicate that more individualised treatment strategies warrant consideration.
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