Kooner, Jaspal S.

Loss-of-function mutations in SLC30A8 protect against type 2 diabetes

Go-T2D Consortium, Flannick, J., T2D-GENES Consortium, Thorleifsson, G., Beer, N. L., Jacobs, S. B. R., Grarup, N., Burtt, N. P., Mahajan, A., Fuchsberger, C., et al. (2014) · Nature Genetics

Genetic Associations and EpidemiologyDiabetes and associated disorders

Cited by 492

Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes

Mahajan, A., Wessel, J., Willems, S. M., Zhao, W., Robertson, N. R., Chu, A. Y., Gan, W., Kitajima, H., Taliun, D., Rayner, N. W., et al. (2018) · Nature Genetics

Genetic Associations and EpidemiologyGenomics and Rare Diseases

Cited by 442

Impact of common genetic determinants of hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis

Wheeler, E., Leong, A., Liu, C.-T., Hivert, M.-F., Strawbridge, R. J., Podmore, C., Li, M., Yao, J., Sim, X., Hong, J., et al. (2017) · PLOS Medicine

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 408

Genetic Variants Influencing Circulating Lipid Levels and Risk of Coronary Artery Disease

Waterworth, D. M., Ricketts, S. L., Song, K., Chen, L., Zhao, J. H., Ripatti, S., Aulchenko, Y. S., Zhang, W., Yuan, X., Lim, N., et al. (2010) · Arteriosclerosis, Thrombosis, and Vascular Biology

Genetic Associations and EpidemiologyLipoproteins and Cardiovascular Health

Cited by 405

A coherent approach for analysis of the Illumina HumanMethylation450 BeadChip improves data quality and performance in epigenome-wide association studies

Lehne, B., Drong, A. W., Loh, M., Zhang, W., Scott, W. R., Tan, S.-T., Afzal, U., Scott, J., Jarvelin, M.-R., Elliott, P., et al. (2015) · Genome biology

Epigenetics and DNA MethylationGenetic Associations and Epidemiology

Cited by 380

Genome-Wide Association Identifies Nine Common Variants Associated With Fasting Proinsulin Levels and Provides New Insights Into the Pathophysiology of Type 2 Diabetes

Strawbridge, R. J., Dupuis, J., Prokopenko, I., Barker, A., Ahlqvist, E., Rybin, D., Petrie, J. R., Travers, M. E., Bouatia-Naji, N., Dimas, A. S., et al. (2011) · Diabetes

Genetic Associations and EpidemiologyDiabetes and associated disorders

Cited by 356

Genetic variation near IRS1 associates with reduced adiposity and an impaired metabolic profile

Kilpeläinen, T. O., Zillikens, M. C., Stančákova, A., Finucane, F. M., Ried, J. S., Langenberg, C., Zhang, W., Beckmann, J. S., Luan, J., Vandenput, L., et al. (2011) · Nature Genetics

Genetic Associations and EpidemiologyAdipokines, Inflammation, and Metabolic Diseases

Cited by 335

Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension

CHARGE-Heart Failure Consortium, Surendran, P., EchoGen Consortium, METASTROKE Consortium, GIANT Consortium, EPIC-InterAct Consortium, Study, L. C., Wellcome Trust Case Control Consortium, Understanding Society Scientific Group, EPIC-CVD Consortium, et al. (2016) · Nature Genetics

Genetic Associations and EpidemiologyBlood Pressure and Hypertension Studies

Cited by 312

Exome sequencing of 20,791 cases of type 2 diabetes and 24,440 controls

Platform, B. G., Flannick, J., DiscovEHR Collaboration, CHARGE, LuCamp, ProDiGY, GoT2D, ESP, SIGMA-T2D, T2D-GENES, et al. (2019) · Nature

Genetic Associations and EpidemiologyGenomics and Rare Diseases

Cited by 304

The Population Reference Sample, POPRES: A Resource for Population, Disease, and Pharmacological Genetics Research

Nelson, M. R., Bryc, K., King, K. S., Indap, A., Boyko, A. R., Novembre, J., Briley, L. P., Maruyama, Y., Waterworth, D. M., Waeber, G., et al. (2008) · The American Journal of Human Genetics

Genetic Associations and EpidemiologyForensic and Genetic Research

Cited by 293

Genome-wide association and genetic functional studies identify autism susceptibility candidate 2 gene ( AUTS2 ) in the regulation of alcohol consumption

Schumann, G., Coin, L. J., Lourdusamy, A., Charoen, P., Berger, K. H., Stacey, D., Desrivières, S., Aliev, F. A., Khan, A. A., Amin, N., et al. (2011) · Proceedings of the National Academy of Sciences

Genetic Associations and EpidemiologyNeurotransmitter Receptor Influence on Behavior

Cited by 264

KLB is associated with alcohol drinking, and its gene product β-Klotho is necessary for FGF21 regulation of alcohol preference

Schumann, G., Liu, C., O’Reilly, P., Gao, H., Song, P., Xu, B., Ruggeri, B., Amin, N., Jia, T., Preis, S., et al. (2016) · Proceedings of the National Academy of Sciences

Fibroblast Growth Factor ResearchNeurotransmitter Receptor Influence on Behavior

Cited by 241

Common genetic loci influencing plasma homocysteine concentrations and their effect on risk of coronary artery disease

van Meurs, J. B., Pare, G., Schwartz, S. M., Hazra, A., Tanaka, T., Vermeulen, S. H., Cotlarciuc, I., Yuan, X., Mälarstig, A., Bandinelli, S., et al. (2013) · The American Journal of Clinical Nutrition

Folate and B Vitamins ResearchGenetic Associations and Epidemiology

Cited by 198

Genome-Wide Association Study Identifies a Novel Locus Contributing to Type 2 Diabetes Susceptibility in Sikhs of Punjabi Origin From India

Saxena, R., Saleheen, D., Been, L. F., Garavito, M. L., Braun, T., Bjonnes, A., Young, R., Ho, W. K., Rasheed, A., Frossard, P., et al. (2013) · Diabetes

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 185

A multi-ancestry genome-wide study incorporating gene–smoking interactions identifies multiple new loci for pulse pressure and mean arterial pressure

Sung, Y. J., de las Fuentes, L., Winkler, T. W., Chasman, D. I., Bentley, A. R., Kraja, A. T., Ntalla, I., Warren, H. R., Guo, X., Schwander, K., et al. (2019) · Human Molecular Genetics

Genetic Associations and EpidemiologyBlood Pressure and Hypertension Studies

Cited by 43