Clinical and genetic associations of asymmetric apical and septal left ventricular hypertrophy
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Published on: June 14, 2016
Victoria Yuan1, Milos Vukadinovic2,3, Alan C Kwan2
1School of Medicine, University of California, Los Angeles, CA, USA.
Insights
Regional patterns of left ventricular hypertrophy, like apical and septal hypertrophy, independently increase cardiovascular disease risk. Distinct genetic factors may drive these specific patterns, highlighting the need to study subtypes of left ventricular hypertrophy.
Area of Science:
- Cardiology
- Genetics
- Biomedical Engineering
Background:
- Increased left ventricular mass is linked to adverse cardiovascular outcomes.
- Regional variations in myocardial hypertrophy are significant but understudied.
- Understanding these patterns is crucial for predicting cardiovascular disease risk.
Purpose of the Study:
- To investigate genome-wide and clinical associations of apical and septal hypertrophy.
- To determine if these regional patterns confer risk independent of total left ventricular mass.
- To identify unique genetic drivers for distinct hypertrophy patterns.
Main Methods:
- Utilized deep learning to identify apical and septal hypertrophy phenotypes in 35,268 UK Biobank participants.
- Employed polygenic risk scores and Cox regression to analyze associations with cardiovascular outcomes.
- Conducted genome-wide association studies to identify genetic loci for different hypertrophy patterns.
Main Results:
- Apical hypertrophy is associated with increased risk of cardiomyopathy and atrial fibrillation, independent of total left ventricular mass.
- Increased apical or septal mass elevated cardiomyopathy risk, even without global hypertrophy.
- Identified 17 genome-wide associations for left ventricular mass, plus unique associations for apical and septal hypertrophy.
Conclusions:
- Apical and septal hypertrophy may have distinct genetic underpinnings compared to overall left ventricular mass.
- Focal hypertrophy patterns confer independent and additive risks for cardiovascular disease.
- Characterizing specific left ventricular hypertrophy subtypes is essential for risk stratification and future research.
Aims:
Increased left ventricular mass has been associated with adverse cardiovascular outcomes including incident cardiomyopathy and atrial fibrillation. Such associations have been studied in relation to total left ventricular hypertrophy, while the regional distribution of myocardial hypertrophy is extremely variable. The clinically significant and genetic associations of such variability require further study.
Methods And Results:
Here, we use deep learning-derived phenotypes of disproportionate patterns of hypertrophy, namely, apical and septal hypertrophy, to study genome-wide and clinical associations in addition to and independent from total left ventricular mass within 35 268 UK Biobank participants. Using polygenic risk score and Cox regression, we quantified the relationship between incident cardiovascular outcomes and genetically determined phenotypes in the UK Biobank. Adjusting for total left ventricular mass, apical hypertrophy is associated with elevated risk for cardiomyopathy and atrial fibrillation. Cardiomyopathy risk was increased for subjects with increased apical or septal mass, even in the absence of global hypertrophy. We identified 17 genome-wide associations for left ventricular mass, 3 unique associations with increased apical mass, and 3 additional unique associations with increased septal mass. An elevated polygenic risk score for apical mass corresponded with an increased risk of cardiomyopathy and implantable cardioverter-defibrillator implantation.
Conclusion:
Apical and septal mass may be driven by genes distinct from total left ventricular mass, suggesting unique genetic profiles for patterns of hypertrophy. Focal hypertrophy confers independent and additive risk to incident cardiovascular disease. Our findings emphasize the significance of characterizing distinct subtypes of left ventricular hypertrophy. Further studies are needed in multi-ethnic cohorts.
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