Background: Several genetic variants have been identified to be associated with cardiovascular disease but those variants generally explain only a small proportion of estimated heritability. To identify more genetic variants for cardiovascular diseases, meta-analyses of many large cohorts are necessary. In addition, genetic variants have not been found for several potential risk factors for cardiovascular disease. Aim: The aim is to identify the genetic variants associated with cardiovascular disease and potential risk factors for cardiovascular disease. Methods: GWAS analyses will be conducted to obtain regression coefficients (betas), standard errors (SEs), and p-values for the associations of all genetic variants with cardiovascular disease and its potential risk factors. These analyses will be done at Uppsala University. To increase statistical power, our summary statistics results (betas and SEs) will be meta-analyzed with the corresponding results from other cohort studies participating in the AAAgen (consortium to identify the genetic variants for abdominal aortic aneurysm), PADgen (peripheral artery disease), and ISGC (ischemic stroke and intracerebral and subarachnoid hemorrhage). The plan is also to conduct GWAS analyses of aortic valve stenosis. In addition, we will perform GWAS analyses to identify genetic variants for potential cardiovascular disease risk factors. Those variants will then be used as instrumental variables in Mendelian randomization analyses to determine whether the risk factors are causally associated with cardiovascular disease and other aging-related diseases and mortality.