Unknown

Dataset Information

Obesity genetics and cardiometabolic health: Potential for risk prediction.


ABSTRACT: The increasing burden of obesity worldwide and its effect on cardiovascular disease (CVD) risk is an opportunity for evaluation of preventive approaches. Both obesity and CVD have a genetic background and polymorphisms within genes which enhance expression of variant proteins that influence CVD in obesity. Genome-based prediction may therefore be a feasible strategy, but the identification of genetically driven risk factors for CVD manifesting as clinically recognized phenotypes is a major challenge. Clusters of such risk factors include hyperglycaemia, hypertension, ectopic liver fat, and inflammation. All involve multiple genetic pathways having complex interactions with variable environmental influences. The factors that make significant contributions to CVD risk include altered carbohy

SUBMITTER: Sanghera DK 

PROVIDER: S-EPMC6530772 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature