Folkerts EK, Pelletier RC, Chung DC, et al. A pooled electronic consultation program to improve access to genetics specialists. Genetics in medicine open. 2023;1(1):100819. doi:10.1016/j.gimo.2023.100819
Publications
Schuermans A, Pournamdari AB, Lee J, et al. Integrative proteomic analyses across common cardiac diseases yield new mechanistic insights and enhanced prediction. medRxiv : the preprint server for health sciences. 2023. doi:10.1101/2023.12.19.23300218
Willems SM, Ng NHJ, Fernandez J, et al. Large-scale exome array summary statistics resources for glycemic traits to aid effector gene prioritization. Wellcome open research. 2023;8:483. doi:10.12688/wellcomeopenres.18754.1
Stenton SL, Campagna M, Philippakis A, O’Donnell-Luria A, Gelb MH. First-Tier Next Generation Sequencing for Newborn Screening: An Important Role for Biochemical Second-Tier Testing. Genetics in medicine open. 2023;1(1). doi:10.1016/j.gimo.2023.100821
Rauch PJ, Gopakumar J, Silver AJ, et al. Loss-of-function mutations in Dnmt3a and Tet2 lead to accelerated atherosclerosis and concordant macrophage phenotypes. Nature cardiovascular research. 2023;2(9):805-818. doi:10.1038/s44161-023-00326-7
Reeskamp LF, Shim I, Dron JS, et al. Polygenic Background Modifies Risk of Coronary Artery Disease Among Individuals With Heterozygous Familial Hypercholesterolemia. JACC. Advances. 2023;2(9):100662. doi:10.1016/j.jacadv.2023.100662
Honigberg MC, Faaborg-Andersen CC. Integrating Indices of Genetic Risk for Cardiovascular Disease. JACC. Advances. 2023;2(7):100568. doi:10.1016/j.jacadv.2023.100568
de Vries PS, Conomos MP, Singh K, et al. Whole-genome sequencing uncovers two loci for coronary artery calcification and identifies ARSE as a regulator of vascular calcification. Nature cardiovascular research. 2023;2(12):1159-1172. doi:10.1038/s44161-023-00375-y
de Vries PS, Conomos MP, Singh K, et al. Whole-genome sequencing uncovers two loci for coronary artery calcification and identifies ARSE as a regulator of vascular calcification. Nature cardiovascular research. 2023;2(12):1159-1172. doi:10.1038/s44161-023-00375-y
Karargyris A, Umeton R, Sheller MJ, et al. Federated benchmarking of medical artificial intelligence with MedPerf. Nature machine intelligence. 2023;5(7):799-810. doi:10.1038/s42256-023-00652-2