The Promises and Challenges of the Use of Genomics in the Prescription of Exercise in Hypertension

Abstract

Hypertension is a major global public health problem. Exercise decreases blood pressure (BP) 5-7 mmHg among those with hypertension. Thus, exercise is recommended to prevent, treat, and control hypertension with a generic "one size fits all" approach. Yet, there is considerable individual variability in the BP response to exercise due to genetic and environmental factors that are not well understood. There is a significant genetic component to the BP response to exercise with heritability estimates of approximately 45% to 55%. Yet, identification of specific genetic variants accounting for this variability has proven to be a more challenging task than originally envisioned. This review describes work from our laboratory and others on candidate gene and BP association studies and how they account for some of the variability in the BP response to exercise. The ultimate goal of this work is to use genetic information to personalize exercise prescriptions to optimize the effectiveness of exercise as a therapeutic modality for the prevention, treatment, and control of hypertension. However, because of the complexities surrounding work in exercise genomics the future use of genomics in exercise prescription for hypertension is a vision of the future rather than a reality of the present.

Variants of the Ankyrin Repeat Domain 6 Gene (ANKRD6) and Muscle and Physical Activity Phenotypes Among European-Derived American Adults

“…For example, when recommending PA to adults for its overall health benefits, the ANKRD6 631 P>L and PA intensity-dependent genotype differences we found could be considered when encouraging people to become more physically active due to what appears to be genetic dispositions to prefer moderate over vigorous-intensity PA among those with the LL genotype. However, an individualized approach to PA prescription such as this remains a vision of the future rather than a reality of the present (20). …”