| Literature DB >> 28456354 |
Paul L Auer1, Nathan O Stitziel2.
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.Entities:
Keywords: GWAS; Genetics; Power
Mesh:
Substances:
Year: 2017 PMID: 28456354 PMCID: PMC5642948 DOI: 10.1016/j.tcm.2017.03.005
Source DB: PubMed Journal: Trends Cardiovasc Med ISSN: 1050-1738 Impact factor: 6.677