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 and the clinical significant and genetic associations of such variability requires further study. Here, we use deep learning derived phenotypes of disproportionate patterns of hypertrophy, such as apical hypertrophy 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. Adjusting for total left ventricular mass, apical hypertrophy is associated with elevated risk for cardiomyopathy and atrial fibrillation, and the risk for cardiomyopathy was increased for subjects with increased apical or septal mass even in the absence of global hypertrophy. We identified sev