Mohlke, Karen L.

Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture

Berndt, S. I., Gustafsson, S., Mägi, R., Ganna, A., Wheeler, E., Feitosa, M. F., Justice, A. E., Monda, K. L., Croteau-Chonka, D. C., Day, F. R., et al. (2013) · Nature Genetics

Genetic Associations and EpidemiologyGenetics and Physical Performance

Cited by 646

Rare and low-frequency coding variants alter human adult height

Marouli, E., Graff, M., Medina-Gomez, C., Lo, K. S., Wood, A. R., Kjaer, T. R., Fine, R. S., Lu, Y., Schurmann, C., Highland, H. M., et al. (2017) · Nature

Genetic Associations and EpidemiologyGenetics and Physical Performance

Cited by 610

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

Rare variant in scavenger receptor BI raises HDL cholesterol and increases risk of coronary heart disease

Zanoni, P., Khetarpal, S. A., Larach, D. B., Hancock-Cerutti, W. F., Millar, J. S., Cuchel, M., DerOhannessian, S., Kontush, A., Surendran, P., Saleheen, D., et al. (2016) · Science

Cholesterol and Lipid MetabolismLipoproteins and Cardiovascular Health

Cited by 545

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

Quantifying prion disease penetrance using large population control cohorts

Minikel, E. V., Vallabh, S. M., Lek, M., Estrada, K., Samocha, K. E., Sathirapongsasuti, J. F., McLean, C. Y., Tung, J. Y., Yu, L. P. C., Gambetti, P., et al. (2016) · Science Translational Medicine

Prion Diseases and Protein MisfoldingGenomics and Rare Diseases

Cited by 442

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

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

Genetic evidence of assortative mating in humans

Robinson, M. R., Kleinman, A., Graff, M., Vinkhuyzen, A. A. E., Couper, D., Miller, M. B., Peyrot, W. J., Abdellaoui, A., Zietsch, B. P., Nolte, I. M., et al. (2017) · Nature Human Behaviour

Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestock

Cited by 326

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

INK4/ARF transcript expression is associated with chromosome 9p21 variants linked to atherosclerosis

Liu, Y., Sanoff, H. K., Cho, H., Burd, C. E., Torrice, C., Mohlke, K. L., Ibrahim, J. G., Thomas, N. E., & Sharpless, N. E. (2009) · PLoS ONE

Genetic Associations and EpidemiologyAtherosclerosis and Cardiovascular Diseases

Cited by 248

FTO genetic variants, dietary intake and body mass index: insights from 177 330 individuals

Qi, Q., Kilpeläinen, T. O., Downer, M. K., Tanaka, T., Smith, C. E., Sluijs, I., Sonestedt, E., Chu, A. Y., Renström, F., Lin, X., et al. (2014) · Human Molecular Genetics

Nutrition, Genetics, and DiseaseGenetic Associations and Epidemiology

Cited by 167

Genetic variant effects on gene expression in human pancreatic islets and their implications for T2D

Viñuela, A., Varshney, A., van de Bunt, M., Prasad, R. B., Asplund, O., Bennett, A., Boehnke, M., Brown, A. A., Erdos, M. R., Fadista, J., et al. (2020) · Nature Communications

Genetic Associations and EpidemiologyPancreatic function and diabetes

Cited by 152

Plasma HDL cholesterol and risk of myocardial infarction: a mendelian randomisation study

Voight, B. F., Peloso, G. M., Orho-Melander, M., Frikke-Schmidt, R., Barbalic, M., Jensen, M. K., Hindy, G., Hólm, H., Ding, E. L., Johnson, T., et al. (2012) · The Lancet

Genetic Associations and EpidemiologyLipoproteins and Cardiovascular Health

Cited by 148

Metabolic reprogramming through fatty acid transport protein 1 (FATP1) regulates macrophage inflammatory potential and adipose inflammation

Johnson, A. R., Qin, Y., Cozzo, A. J., Freemerman, A. J., Huang, M. J., Zhao, L., Sampey, B. P., Milner, J. J., Beck, M. A., Damania, B., et al. (2016) · Molecular Metabolism

Adipokines, Inflammation, and Metabolic DiseasesImmune cells in cancer

Cited by 130

A Genome-Wide Association Study of IVGTT-Based Measures of First-Phase Insulin Secretion Refines the Underlying Physiology of Type 2 Diabetes Variants

Wood, A. R., Jonsson, A., Jackson, A. U., Wang, N., van Leewen, N., Palmer, N. D., Kobes, S., Deelen, J., Boquete-Vilarino, L., Paananen, J., et al. (2017) · Diabetes

Genetic Associations and EpidemiologyPancreatic function and diabetes

Cited by 117

Meta-analysis of genome-wide association studies of adult height in East Asians identifies 17 novel loci

He, M., Xu, M., Zhang, B., Liang, J., Chen, P., Lee, J.-Y., Johnson, T. A., Li, H., Yang, X., Dai, J., et al. (2015) · Human Molecular Genetics

Genetic Associations and EpidemiologyGenetics and Physical Performance

Cited by 106

Phenotype-Specific Enrichment of Mendelian Disorder Genes near GWAS Regions across 62 Complex Traits

Freund, M. K., Burch, K. S., Shi, H., Mancuso, N., Kichaev, G., Garske, K. M., Pan, D. Z., Miao, Z., Mohlke, K. L., Laakso, M., et al. (2018) · The American Journal of Human Genetics

Genetic Associations and EpidemiologyBioinformatics and Genomic Networks

Cited by 102

Identification of a regulatory variant that binds FOXA1 and FOXA2 at the CDC123/CAMK1D type 2 diabetes GWAS locus

Fogarty, M. P., Cannon, M. E., Vadlamudi, S., Gaulton, K. J., & Mohlke, K. L. (2014) · PLoS Genetics

Genetic Associations and EpidemiologyGenomics and Chromatin Dynamics

Cited by 93

Soluble Urokinase Plasminogen Activator Receptor: Genetic Variation and Cardiovascular Disease Risk in Black Adults

Olson, N. C., Raffield, L. M., Moxley, A. H., Miller-Fleming, T. W., Auer, P. L., Franceschini, N., Ngo, D., Thornton, T. A., Lange, E. M., Li, Y., et al. (2021) · Circulation: Genomic and Precision Medicine

Genetic Associations and EpidemiologyBlood Coagulation and Thrombosis Mechanisms

Cited by 16

Cross-ancestry comparison of aptamer and antibody protein measures

Nicholas, J. C., Katz, D. H., Tahir, U. A., Debban, C. L., Aguet, F., Blackwell, T., Bowler, R. P., Broadaway, K. A., Chen, J., Clish, C. B., et al. (2026) · Nature Communications

Genetic Associations and EpidemiologyAdvanced Biosensing Techniques and Applications

Cited by 13