Abstract 14308: Integrative Epigenomic Analysis Identifies Enhancer Modifying Variants Linked to Cardiomyopathy Genes

Introduction: Inherited cardiomyopathy is caused by mutations in more than 100 genes. A well-recognized clinical feature of genetic cardiomyopathy is varying phenotypic expression. Even with identical primary mutations, there is a range of clinical outcomes. Genetic variants in protein coding regions have been shown to alter the phenotypic expression of primary cardiomyopathy-causing mutations. However, the contribution of noncoding variation has been less well studied. Methods and Results: We used an integrative analysis of >20 publicly-available heart enhancer function and enhancer target datasets to identify genomic regions predicted to regulate the cardiomyopathy genes, MYH7 and LMNA . We identified two candidate enhancer clusters around the MYH7 gene and three clusters around the LMNA gene. We tested enhancers in these clusters using reporter assays and CRISPr-mediated deletion in human cardiomyocytes derived from induced pluripotent stem cells (iCMs). We identified a super enhancer upstream of MYH7 that is necessary for high MYH7 expression in iCMs. These regulatory regions contained sequence variants within transcription factor binding sites that altered enhancer function. We created an informatic pipeline that extended this strategy genomewide to identify an additional enhancer modifying variant upstream of MYH7 . This variant disrupts a transcription factor binding site upstream of MYH7 and limits MYH7 upregulation. We extended these analyses by examining clinical correlates, finding that this variant correlated with a more dilated left ventricle over time in patients with cardiomyopathy. Conclusions: We identified two enhancer regions important for MYH7 expression in iCMs. These enhancer regions may be utilized to induce MYH7 during human development and heart failure. MYH7 changes in heart failure have been linked to cardiomyopathy phenotypes. The variant upstream of MYH7 likely alters these changes and results in a more severe phenotype. These findings demonstrate that noncoding variants have clinical utility and targeted assessment of noncoding modifiers may become integrated into clinical care.