Genomics of Cardiometabolic Disorders in Sub-Saharan Africa

Public Health Genomics. 2017;20(1):9-26. doi: 10.1159/000468535. Epub 2017 May 9.

Abstract

Sub-Saharan Africa (SSA) is experiencing a growing burden of cardiometabolic disorders, including diabetes, dyslipidemia, hypertension, obesity, coronary heart disease, and stroke. The increasing trends are expected to accelerate as SSA continues to experience economic progress, population growth, and the shift from communicable to noncommunicable diseases. These complex disorders are caused by multiple, potentially interacting, environmental, and genetic factors. While considerable progress has been made in the identification of the sociocultural, demographic, and lifestyle risk factors for cardiometabolic disorders, many genetic factors that underlie individual susceptibility to these diseases remain largely unknown. Although progress in genomic technologies has allowed for systematic characterization of genome-wide genetic diversity in health and disease in European and Asian ancestry populations, conduct of genetic studies in SSA has been underwhelming until recently. Here, we summarize recent understanding of the body of knowledge and highlight research opportunities on the genomics of cardiometabolic disorders in SSA. Published by S. Karger AG, Basel.

Keywords: Africa; Cardiometabolic disorders; Coronary heart disease; Diabetes; Dyslipidemia; Genomics; Hypertension; Obesity; Stroke.

Publication types

  • Review

MeSH terms

  • Africa South of the Sahara / epidemiology
  • Cardiovascular Diseases / epidemiology
  • Cardiovascular Diseases / genetics*
  • Diabetes Mellitus / epidemiology
  • Diabetes Mellitus / genetics
  • Dyslipidemias / epidemiology
  • Dyslipidemias / genetics
  • Forecasting
  • Genetic Variation / genetics
  • Genome-Wide Association Study
  • Genomics*
  • Humans
  • Hypertension / epidemiology
  • Hypertension / genetics
  • Metabolic Diseases / epidemiology
  • Metabolic Diseases / genetics*
  • Obesity / epidemiology
  • Obesity / genetics
  • Risk Factors
  • Stroke / epidemiology
  • Stroke / genetics