Melloni, Giorgio E. M.
Brigham and Women's Hospital · Harvard University · Thrombolysis in Myocardial Infarction Study Group
6 papers on CoChatORCID 0000-0001-6371-1334
Most cited papers
- Verified
Genetic drivers of heterogeneity in type 2 diabetes pathophysiology
Suzuki, K., Hatzikotoulas, K., Southam, L., Taylor, H. J., Yin, X., Lorenz, K. M., Mandla, R., Huerta-Chagoya, A., Melloni, G. E. M., Kanoni, S., et al. (2024) · Nature
Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals
Cited by 606
- Verified
Association of Apolipoprotein B–Containing Lipoproteins and Risk of Myocardial Infarction in Individuals With and Without Atherosclerosis
Marston, N. A., Giugliano, R. P., Melloni, G. E. M., Park, J.-G., Morrill, V., Blazing, M. A., Ference, B., Stein, E., Stroes, E. S., Braunwald, E., et al. (2022) · JAMA Cardiology
Lipoproteins and Cardiovascular HealthDiabetes, Cardiovascular Risks, and Lipoproteins
Cited by 262
- Verified
The origins and genetic interactions of KRAS mutations are allele- and tissue-specific
Cook, J. H., Melloni, G. E. M., Gulhan, D. C., Park, P. J., & Haigis, K. M. (2021) · Nature Communications
Cancer Genomics and DiagnosticsProtein Kinase Regulation and GTPase Signaling
Cited by 208
- Verified
Very low-depth whole-genome sequencing in complex trait association studies
Gilly, A., Southam, L., Suveges, D., Kuchenbaecker, K., Moore, R., Melloni, G. E. M., Hatzikotoulas, K., Farmaki, A.-E., Ritchie, G., Schwartzentruber, J., et al. (2019) · Bioinformatics
Genetic Associations and EpidemiologyGenomics and Phylogenetic Studies
Cited by 93
- Verified
Novel Polygenic Risk Score and Established Clinical Risk Factors for Risk Estimation of Aortic Stenosis
Small, A. M., Melloni, G. E. M., Kamanu, F. K., Bergmark, B. A., Bonaca, M. P., O’Donoghue, M. L., Giugliano, R. P., Scirica, B. M., Bhatt, D., Antman, E. M., et al. (2024) · JAMA Cardiology
Cardiac Valve Diseases and TreatmentsGenetic Associations and Epidemiology
Cited by 23
- Verified
Genomic and transcriptomic analyses of aortic stenosis enhance therapeutic target discovery and disease prediction
Small, A. M., Yang, T.-Y., Itoh, S., Thériault, S., Dufresne, L., Kurosawa, R., Komuro, I., Matsuda, K., Vy, H. M. T., Farber-Eger, E. H., et al. (2026) · Nature Genetics
Cardiac Valve Diseases and TreatmentsGenetic Associations and Epidemiology
Cited by 18
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