An article published in American Heart said that a systematic review had been performed of GWA-derived markers associated with cardiovascular outcomes or other phenotypes that represent common established risk factors for cardiovascular outcomes.
Sources of information used in the research by John P. Ioannidis included the National Human Genome Research Institute (NHGRI) catalog of published GWA studies, and perusal of the eligible GWA articles, meta-analyses on the respective associations, and articles on the incremental predictive performance of common variants in the GWA-era.
In depth evaluation of the respective articles shows 28 independent associations with such statistical support, pertaining to coronary artery disease, myocardial infarction, arterial fibrillation/flutter, prolongation of QT interval, as well as type 2 diabetes, body mass index, HDL levels, LDL levels, and nicotine dependence.
When they are used in conjunction with traditional predictors, improvement in overall prediction (e.g. area under the curve) or risk reclassification is limited, and subject to methodological caveats.