Phenomapping: Hierarchical Cluster Analysis of Phenotypic Data for the Categorization of Left Ventricular Hypertrophy

Project: Research project

Project Details


LVH, defined as increased left ventricular mass, is a pathophysiologic response to increased ventricular wall stress and is a well-documented indicator of poor prognosis in cardiovascular (CV) disease. However, LVH is not a single disease—it is a heterogeneous pathophysiologic condition associated with differential outcomes and treatment responses. Various systems for classifying LVH exist, but all are based on final geometric structure with analysis of phenotypic differences between groups. Our investigative team has pioneered a novel approach to analyzing such heterogeneous syndromes using a technique we have termed “phenomapping” which reverses the classic classification approach. Phenomapping uses hierarchical cluster analysis, previously developed for high-density gene expression data, to create phenotypic heat maps to identify novel patterns in large datasets of dense phenotypic data. Applying this technique to a cohort with LVH and assessing its relevance using comprehensive clinical, laboratory, anthropometric, blood pressure, and echocardiographic data would provide the basis for categorization agnostic to geometrical categories, and potentially shed light on the pathophysiology of LVH as well as provide the basis for more targeted treatment strategies.
Effective start/end date6/1/1310/31/13


  • American Heart Association (Ltr. 4/10/13)


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