Selected publications relevant for our project.
A decade of genome-wide association studies for coronary artery disease: the challenges ahead
Erdmann J, Kessler T, Munoz Venegas L, Schunkert H. Cardiovasc Res 2018;114:1241-57.
https://pubmed.ncbi.nlm.nih.gov/29617720/
The coronary collateral circulation: genetic and environmental determinants in experimental models and humans
Teunissen PF, Horrevoets AJ, van Royen N. J Mol Cell Cardiol 2012;52:897-904.
https://pubmed.ncbi.nlm.nih.gov/21959171/
A critical review of clinical arteriogenesis research
van Royen N, Piek JJ, Schaper W, Fulton WF. J Am Coll Cardiol 2009;55:17-25.
https://pubmed.ncbi.nlm.nih.gov/20117358/
A machine-learning approach for computation of fractional flow reserve from coronary computed tomography
Itu L et al. J Appl Physiol (1985) 2016;121:42-52.
https://pubmed.ncbi.nlm.nih.gov/27079692/
Maximizing the power of principal-component analysis of correlated phenotypes in genome-wide association studies
Aschard H et al. Am J Hum Genet 2014;94:662-76.
https://pubmed.ncbi.nlm.nih.gov/24746957/
Prediction of Causal Candidate Genes in Coronary Artery Disease Loci
Braenne I et al. Arterioscler Thromb Vasc Biol 2015;35:2207-17.
https://pubmed.ncbi.nlm.nih.gov/26293461/
Meta-analysis of 65,734 individuals identifies TSPAN15 and SLC44A2 as two susceptibility loci for venous thrombo-embolism
Germain M et al. Am J Hum Genet 2015;96:532-42.
https://pubmed.ncbi.nlm.nih.gov/25772935/