Lotta, Luca A.

Discovery of 318 new risk loci for type 2 diabetes and related vascular outcomes among 1.4 million participants in a multi-ancestry meta-analysis

Vujkovic, M., Keaton, J. M., Lynch, J. A., Miller, D. R., Zhou, J., Tcheandjieu, C., Huffman, J. E., Assimes, T. L., Lorenz, K., Zhu, X., et al. (2020) · Nature Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 741

Genetic Predisposition to an Impaired Metabolism of the Branched-Chain Amino Acids and Risk of Type 2 Diabetes: A Mendelian Randomisation Analysis

Lotta, L. A., Scott, R. A., Sharp, S. J., Burgess, S., Luan, J., Tillin, T., Schmidt, A. F., Imamura, F., Stewart, I. D., Perry, J. R. B., et al. (2016) · PLOS Medicine

Genetic Associations and EpidemiologyDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 417

Advancing human genetics research and drug discovery through exome sequencing of the UK Biobank

Szustakowski, J. D., Balasubramanian, S., Kvikstad, E., Khalid, S., Bronson, P. G., Sasson, A., Wong, E., Liu, D., Wade Davis, J., Haefliger, C., et al. (2021) · Nature Genetics

Genetic Associations and EpidemiologyGenomics and Rare Diseases

Cited by 401

Association Between Low-Density Lipoprotein Cholesterol–Lowering Genetic Variants and Risk of Type 2 Diabetes: A Meta-analysis

Lotta, L. A., Sharp, S. J., Burgess, S., Perry, J. R. B., Stewart, I. D., Willems, S. M., Luan, J., Ardanaz, E., Arriola, L., Balkau, B., et al. (2016) · JAMA

Lipoproteins and Cardiovascular HealthGenetic Associations and Epidemiology

Cited by 394

Common and rare variant associations with clonal haematopoiesis phenotypes

Kessler, M. D., Damask, A., O’Keeffe, S., Banerjee, N., Li, D., Watanabe, K., Marketta, A., Van Meter, M., Semrau, S., Horowitz, J., et al. (2022) · Nature

Acute Myeloid Leukemia ResearchGenetic Associations and Epidemiology

Cited by 313

Human gain-of-function MC4R variants show signaling bias and protect against obesity

Lotta, L. A., Mokrosiński, J., Mendes de Oliveira, E., Li, C., Sharp, S. J., Luan, J., Brouwers, B., Ayinampudi, V., Bowker, N., Kerrison, N., et al. (2019) · Cell

Regulation of Appetite and ObesityReceptor Mechanisms and Signaling

Cited by 284

Sequencing of 640,000 exomes identifies GPR75 variants associated with protection from obesity

Akbari, P., Gilani, A., Sosina, O., Kosmicki, J. A., Khrimian, L., Fang, Y.-Y., Persaud, T., Garcia, V., Sun, D., Li, A., et al. (2021) · Science

Genetic Associations and EpidemiologyRegulation of Appetite and Obesity

Cited by 276

Association of Genetic Variants Related to Gluteofemoral vs Abdominal Fat Distribution With Type 2 Diabetes, Coronary Disease, and Cardiovascular Risk Factors

Lotta, L. A., Wittemans, L. B. L., Zuber, V., Stewart, I. D., Sharp, S. J., Luan, J., Day, F. R., Li, C., Bowker, N., Cai, L., et al. (2018) · JAMA

Genetic Associations and EpidemiologyDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 229

A multiancestry genome-wide association study of unexplained chronic ALT elevation as a proxy for nonalcoholic fatty liver disease with histological and radiological validation

Vujkovic, M., Ramdas, S., Lorenz, K. M., Guo, X., Darlay, R., Cordell, H. J., He, J., Gindin, Y., Chung, C., Myers, R. P., et al. (2022) · Nature Genetics

Liver Disease Diagnosis and TreatmentGenetic Associations and Epidemiology

Cited by 205

Associations between potentially modifiable risk factors and Alzheimer disease: a mendelian randomization study

Østergaard, S. D., Mukherjee, S., Sharp, S. J., Proitsi, P., Lotta, L. A., Day, F., Perry, J. R. B., Boehme, K. L., Walter, S., Kauwe, J. S., et al. (2015) · PLOS Medicine

Dementia and Cognitive Impairment ResearchGenetic Associations and Epidemiology

Cited by 203

An international genome-wide meta-analysis of primary biliary cholangitis: Novel risk loci and candidate drugs

Cordell, H. J., Fryett, J. J., Ueno, K., Darlay, R., Aiba, Y., Hitomi, Y., Kawashima, M., Nishida, N., Khor, S.-S., Gervais, O., et al. (2021) · Journal of Hepatology

Liver Diseases and ImmunityGenetic Associations and Epidemiology

Cited by 182

Genome-wide association analyses highlight etiological differences underlying newly defined subtypes of diabetes

Mansour Aly, D., Dwivedi, O. P., Prasad, R. B., Käräjämäki, A., Hjort, R., Thangam, M., Åkerlund, M., Mahajan, A., Udler, M. S., Florez, J. C., et al. (2021) · Nature Genetics

Genetic Associations and EpidemiologyDiabetes and associated disorders

Cited by 172

Germline Mutations in CIDEB and Protection against Liver Disease

Verweij, N., Haas, M. E., Nielsen, J. B., Sosina, O. A., Kim, M., Akbari, P., De, T., Hindy, G., Bovijn, J., Persaud, T., et al. (2022) · New England Journal of Medicine

Liver Disease Diagnosis and TreatmentGenetic Associations and Epidemiology

Cited by 127

A deep catalogue of protein-coding variation in 983,578 individuals

Sun, K. Y., Bai, X., Chen, S., Bao, S., Zhang, C., Kapoor, M., Backman, J., Joseph, T., Maxwell, E., Mitra, G., et al. (2024) · Nature

Genomics and Rare DiseasesGenetic Associations and Epidemiology

Cited by 127

Activin E–ACVR1C cross talk controls energy storage via suppression of adipose lipolysis in mice

Adam, R. C., Pryce, D. S., Lee, J. S., Zhao, Y., Mintah, I. J., Min, S., Halasz, G., Mastaitis, J., Atwal, G. S., Aykul, S., et al. (2023) · Proceedings of the National Academy of Sciences

Adipokines, Inflammation, and Metabolic DiseasesAdipose Tissue and Metabolism

Cited by 44