Genetic markers: Potential candidates for cardiovascular disease

Int J Cardiol. 2016 Oct 1:220:914-23. doi: 10.1016/j.ijcard.2016.06.251. Epub 2016 Jun 27.

Abstract

The effective prevention of cardiovascular disease depends upon the ability to recognize the high-risk individuals at an early stage of the disease or long before the development of adverse events. Evolving technologies in the fields of proteomics, metabolomics, and genomics have played a significant role in the discovery of cardiovascular biomarkers, but so far these methods have achieved the modest success. Hence, there is a crucial need for more reliable, suitable, and lasting diagnostic and therapeutic markers to screen the disease well in time to start the clinical aid to the patients. Gene polymorphisms associated with the cardiovascular disease play a decisive role in the disease onset. Therefore, the genetic marker evaluation to classify high-risk patients from low-risk patients trends an effective approach to patient management and care. Currently, there are no genetic markers available for extensive adoption as risk factors for coronary vascular disease, yet, there are numerous promising, biologically acceptable candidates. Many of these gene biomarkers, alone or in combination, can play an essential role in the prediction of cardiovascular risk. The present review highlights some putative emerging genetic biomarkers that could facilitate more authentic and fast diagnosis of CVD. This review also briefly describes few technological approaches employed in the biomarker search.

Keywords: Biomarker; Cardiovascular disease; Genomics; Proteomics; Single nucleotide polymorphism.

Publication types

  • Review

MeSH terms

  • Biomarkers / metabolism
  • Cardiovascular Diseases / genetics*
  • Cardiovascular Diseases / metabolism
  • Genetic Association Studies / trends*
  • Genetic Markers / genetics*
  • Humans
  • Metabolomics / trends*
  • RNA, Messenger / genetics
  • RNA, Messenger / metabolism
  • Risk Factors

Substances

  • Biomarkers
  • Genetic Markers
  • RNA, Messenger