Hadjadj, Samy

A genome-wide association study identifies novel risk loci for type 2 diabetes

Sladek, R., Rocheleau, G., Rung, J., Dina, C., Shen, L., Serre, D., Boutin, P., Vincent, D., Belisle, A., Hadjadj, S., et al. (2007) · Nature

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 2,993

New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk

DIAGRAM Consortium, Dupuis, J., GIANT Consortium, Global BPgen Consortium, Anders Hamsten on behalf of Procardis Consortium, the MAGIC investigators, Langenberg, C., Prokopenko, I., Saxena, R., Soranzo, N., et al. (2010) · Nature Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 2,166

Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis

The MAGIC investigators, Voight, B. F., The GIANT Consortium, Scott, L. J., Steinthorsdottir, V., Morris, A. P., Dina, C., Welch, R. P., Zeggini, E., Huth, C., et al. (2010) · Nature Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 1,761

A variant near MTNR1B is associated with increased fasting plasma glucose levels and type 2 diabetes risk

Bouatia-Naji, N., Bonnefond, A., Cavalcanti-Proença, C., Sparsø, T., Holmkvist, J., Marchand, M., Delplanque, J., Lobbens, S., Rocheleau, G., Durand, E., et al. (2009) · Nature Genetics

Circadian rhythm and melatoninGenetic Associations and Epidemiology

Cited by 611

Genetic variant near IRS1 is associated with type 2 diabetes, insulin resistance and hyperinsulinemia

Rung, J., Cauchi, S., Albrechtsen, A., Shen, L., Rocheleau, G., Cavalcanti-Proença, C., Bacot, F., Balkau, B., Belisle, A., Borch-Johnsen, K., et al. (2009) · Nature Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 479

Rare MTNR1B variants impairing melatonin receptor 1B function contribute to type 2 diabetes

The Meta-Analysis of Glucose and Insulin-Related Traits Consortium (MAGIC), Bonnefond, A., Clément, N., Fawcett, K., Yengo, L., Vaillant, E., Guillaume, J.-L., Dechaume, A., Payne, F., Roussel, R., et al. (2012) · Nature Genetics

Circadian rhythm and melatoninGenetic Associations and Epidemiology

Cited by 363

Efficacy and safety of dapagliflozin in patients with inadequately controlled type 1 diabetes: the DEPICT-1 52-week study

Dandona, P., Mathieu, C., Phillip, M., Hansen, L., Tschöpe, D., Thorén, F., Xu, J., Langkilde, A. M., DEPICT-1 Investigators, Proietto, J., et al. (2018) · Diabetes Care

Diabetes Treatment and ManagementDiabetes Management and Research

Cited by 243

Effects of semaglutide with and without concomitant SGLT2 inhibitor use in participants with type 2 diabetes and chronic kidney disease in the FLOW trial

Mann, J. F. E., Rossing, P., Bakris, G., Belmar, N., Bosch-Traberg, H., Busch, R., Charytan, D. M., Hadjadj, S., Gillard, P., Górriz, J. L., et al. (2024) · Nature Medicine

Diabetes Treatment and ManagementChronic Kidney Disease and Diabetes

Cited by 200

Effects of Semaglutide on Heart Failure Outcomes in Diabetes and Chronic Kidney Disease in the FLOW Trial

Pratley, R. E., Tuttle, K. R., Rossing, P., Rasmussen, S., Perkovic, V., Nielsen, O. W., Mann, J. F. E., MacIsaac, R. J., Kosiborod, M. N., Kamenov, Z., et al. (2024) · Journal of the American College of Cardiology

Diabetes Treatment and ManagementHeart Failure Treatment and Management

Cited by 132

Post hoc analysis of SUSTAIN 6 and PIONEER 6 trials suggests that people with type 2 diabetes at high cardiovascular risk treated with semaglutide experience more stable kidney function compared with placebo

Tuttle, K. R., Bosch-Traberg, H., Cherney, D. Z. I., Hadjadj, S., Lawson, J., Mosenzon, O., Rasmussen, S., & Bain, S. C. (2023) · Kidney International

Diabetes Treatment and ManagementChronic Kidney Disease and Diabetes

Cited by 124

Plasma Copeptin and Renal Outcomes in Patients With Type 2 Diabetes and Albuminuria

Velho, G., Bouby, N., Hadjadj, S., Matallah, N., Mohammedi, K., Fumeron, F., Potier, L., Bellili-Munoz, N., Taveau, C., Alhenc-Gelas, F., et al. (2013) · Diabetes Care

Chronic Kidney Disease and DiabetesAcute Kidney Injury Research

Cited by 89

Plasma Extracellular Superoxide Dismutase Concentration, Allelic Variations in the SOD3 Gene and Risk of Myocardial Infarction and All-Cause Mortality in People with Type 1 and Type 2 Diabetes

Mohammedi, K., Bellili-Muñoz, N., Marklund, S. L., Driss, F., Le Nagard, H., Patente, T. A., Fumeron, F., Roussel, R., Hadjadj, S., Marre, M., et al. (2015) · Cardiovascular Diabetology

Glutathione Transferases and PolymorphismsParaoxonase enzyme and polymorphisms

Cited by 63

Efficacy and adherence of glucagon-like peptide-1 receptor agonist treatment in patients with type 2 diabetes mellitus in real-life settings

Guerci, B., Charbonnel, B., Gourdy, P., Hadjadj, S., Hanaire, H., Marre, M., & Vergès, B. (2019) · Diabetes & Metabolism

Diabetes Treatment and ManagementDiabetes Management and Research

Cited by 40

Prognostic value of plasma MR-proADM vs NT-proBNP for heart failure in people with type 2 diabetes: the SURDIAGENE prospective study

for the SURDIAGENE Study Group, Fraty, M., Velho, G., Gand, E., Fumeron, F., Ragot, S., Sosner, P., Mohammedi, K., Gellen, B., Saulnier, P.-J., et al. (2018) · Diabetologia

Heart Failure Treatment and ManagementGDF15 and Related Biomarkers

Cited by 22

Nutritional biomarkers and heart failure requiring hospitalization in patients with type 2 diabetes: the SURDIAGENE cohort

Wargny, M., Croyal, M., Ragot, S., Gand, E., Jacobi, D., Trochu, J.-N., Prieur, X., Le May, C., Goronflot, T., Cariou, B., et al. (2022) · Cardiovascular Diabetology

Heart Failure Treatment and ManagementNutritional Studies and Diet

Cited by 21

Assessing large language models for acute heart failure classification and information extraction from French clinical notes

Bazoge, A., Wargny, M., Constant dit Beaufils, P., Morin, E., Daille, B., Gourraud, P.-A., & Hadjadj, S. (2025) · Computers in Biology and Medicine

Machine Learning in HealthcareTopic Modeling

Cited by 6