Submitted by ja607 on
Title | Genetic association studies in cardiovascular diseases: Do we have enough power? |
Publication Type | Journal Article |
Year of Publication | 2017 |
Authors | Auer, PL, Stitziel, NO |
Journal | Trends Cardiovasc Med |
Volume | 27 |
Issue | 6 |
Pagination | 397-404 |
Date Published | 2017 08 |
ISSN | 1873-2615 |
Keywords | Cardiovascular Diseases, Data Accuracy, Data Interpretation, Statistical, Genetic Association Studies, Genetic Markers, Genetic Predisposition to Disease, Genetic Variation, Humans, Phenotype, Reproducibility of Results, Research Design, Risk Assessment, Risk Factors |
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. |
DOI | 10.1016/j.tcm.2017.03.005 |
Alternate Journal | Trends Cardiovasc Med |
PubMed ID | 28456354 |
PubMed Central ID | PMC5642948 |
Grant List | K08 HL114642 / HL / NHLBI NIH HHS / United States R01 HL131961 / HL / NHLBI NIH HHS / United States UM1 HG008853 / HG / NHGRI NIH HHS / United States |