Genetic association studies in cardiovascular diseases: Do we have enough power?

Trends Cardiovasc Med. 2017 Aug;27(6):397-404. doi: 10.1016/j.tcm.2017.03.005. Epub 2017 Mar 24.

Abstract

Genetic association studies have a long history of delivering insightful results for cardiovascular disease (CVD) research. Beginning with early candidate gene studies, to genome-wide association studies, and now on to newer whole-genome sequencing studies, research in human genetics has enriched our understanding of the pathobiology of CVD. As these studies continue to expand, the issue of statistical power plays an important role in study design as well as the interpretation of results. We provide an overview of the component parts that determine statistical power and preview the future of CVD genetic association studies through this lens.

Keywords: GWAS; Genetics; Power.

Publication types

  • Review
  • Research Support, Non-U.S. Gov't
  • Research Support, N.I.H., Extramural

MeSH terms

  • Cardiovascular Diseases / diagnosis
  • Cardiovascular Diseases / epidemiology
  • Cardiovascular Diseases / genetics*
  • Data Accuracy
  • Data Interpretation, Statistical
  • Genetic Association Studies / methods*
  • Genetic Association Studies / statistics & numerical data
  • Genetic Markers*
  • Genetic Predisposition to Disease
  • Genetic Variation
  • Humans
  • Phenotype
  • Reproducibility of Results
  • Research Design* / statistics & numerical data
  • Risk Assessment
  • Risk Factors

Substances

  • Genetic Markers