Heart disease is the leading cause of death and a major cause of disability throughout much of the developed world. In addition to a wide range of environmental risk factors such as high blood pressure, diabetes, as well as lifestyle factors, such as an unhealthy diet and physical inactivity, underlying genetics can put people at a higher risk for developing heart disease.

Several types of cardiovascular diesase have clear associations between genetic markers and an increased risk of premature heart attacks.  Examples include familial hypercholesterolemia, pulmonary arterial hypertension and a number of inherited cardiomyopathies.   Research is actively underway to identify further genetic markers linked with disease and to find genes that could be targets to help alleviate or counter risk factors.

Horizon is uniquely suited to helping researchers investigate the underlying basis of disease.  We translate genomic information into practical drug discovery and diagnostic tools that accurately recreate the specific genetics of real patients that are significant in human disease onset and progression.

Horizon’s gene editing platform confers the ability to rapidly introduce any genetic variation into any endogenous gene loci of any human cell line; thus accurately modeling real patient genotypes.

These disease models take the form of cell lines, which are being used widely in basic and drug discovery research and provide them as tools, use them as the basis of a wide range of services to power drug discovery and development programs, and offer them as reference standards to help ensure that patient diagnostic testing provides accurate results.  Our gene editing platform also is used to generate in vivo models to support drug trials, particularly in the preclinical stage.



Daisuke Ekuni. et al. (2014). Occlusal disharmony accelerates the initiation of atherosclerosis in apoE knockout rat, Lipids Health Dis. 2014; 13: 144

Sergio Vaira. et al. (2012). Creation and Preliminary Characterization of a Leptin Knockout Rat, Endocrinology. 2012 November; 153(11): 5622–5628

David McVey et al. (2014). Generation of Isogenic Cell Lines to Study a Single Disease Associated Variant at the 1P13 Cad Risk Locus, Heart 2014;100:A117

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