Pankow, James S.

Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program

Taliun, D., Harris, D. N., Kessler, M. D., Carlson, J., Szpiech, Z. A., Torres, R., Taliun, S. A. G., Corvelo, A., Gogarten, S. M., Kang, H. M., et al. (2021) · Nature

Genetic Associations and EpidemiologyGenomics and Rare Diseases

Cited by 2,213

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

Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes

the DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Morris, A. P., Voight, B. F., Teslovich, T. M., Ferreira, T., Segrè, A. V., Steinthorsdottir, V., Strawbridge, R. J., Khan, H., Grallert, H., et al. (2012) · Nature Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 1,912

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

Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps

Mahajan, A., Taliun, D., Thurner, M., Robertson, N. R., Torres, J. M., Rayner, N. W., Payne, A. J., Steinthorsdottir, V., Scott, R. A., Grarup, N., et al. (2018) · Nature Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 1,744

Glycated hemoglobin, diabetes, and cardiovascular risk in nondiabetic adults

Selvin, E., Steffes, M. W., Zhu, H., Matsushita, K., Wagenknecht, L., Pankow, J., Coresh, J., & Brancati, F. L. (2010) · New England Journal of Medicine

Diabetes, Cardiovascular Risks, and LipoproteinsDiabetes Management and Research

Cited by 1,544

DNA methylation-based measures of biological age: meta-analysis predicting time to death

Chen, B. H., Marioni, R. E., Colicino, E., Peters, M. J., Ward-Caviness, C. K., Tsai, P.-C., Roetker, N. S., Just, A. C., Demerath, E. W., Guan, W., et al. (2016) · Aging

Epigenetics and DNA MethylationGenetics, Aging, and Longevity in Model Organisms

Cited by 1,126

Low-Grade Systemic Inflammation and the Development of Type 2 Diabetes

Duncan, B. B., Schmidt, M. I., Pankow, J. S., Ballantyne, C. M., Couper, D., Vigo, A., Hoogeveen, R., Folsom, A. R., & Heiss, G. (2003) · Diabetes

Adipokines, Inflammation, and Metabolic DiseasesDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 1,036

Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility

DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Mahajan, A., Asian Genetic Epidemiology Network Type 2 Diabetes (AGEN-T2D) Consortium, South Asian Type 2 Diabetes (SAT2D) Consortium, Mexican American Type 2 Diabetes (MAT2D) Consortium, Type 2 Diabetes Genetic Exploration by Next-generation sequencing in multi-Ethnic Samples (T2D-GENES) Consortium, Go, M. J., Zhang, W., Below, J. E., Gaulton, K. J., et al. (2014) · Nature Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 1,034

Inherited causes of clonal haematopoiesis in 97,691 whole genomes

Bick, A. G., Weinstock, J. S., Nandakumar, S. K., Fulco, C. P., Bao, E. L., Zekavat, S. M., Szeto, M. D., Liao, X., Leventhal, M. J., Nasser, J., et al. (2020) · Nature

Acute Myeloid Leukemia ResearchGenetic Associations and Epidemiology

Cited by 733

Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation

Mahajan, A., Spracklen, C. N., Zhang, W., Ng, M. C. Y., Petty, L. E., Kitajima, H., Yu, G. Z., Rüeger, S., Speidel, L., Kim, Y. J., et al. (2022) · Nature Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 704

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

Association of Weight Status With Mortality in Adults With Incident Diabetes

Carnethon, M. R., De Chavez, P. J. D., Biggs, M. L., Lewis, C. E., Pankow, J. S., Bertoni, A. G., Golden, S. H., Liu, K., Mukamal, K. J., Campbell-Jenkins, B., et al. (2012) · JAMA

Diabetes, Cardiovascular Risks, and LipoproteinsObesity, Physical Activity, Diet

Cited by 567

Hearing intervention versus health education control to reduce cognitive decline in older adults with hearing loss in the USA (ACHIEVE): a multicentre, randomised controlled trial

Lin, F. R., Pike, J. R., Albert, M. S., Arnold, M., Burgard, S., Chisolm, T., Couper, D., Deal, J. A., Goman, A. M., Glynn, N. W., et al. (2023) · The Lancet

Hearing Loss and RehabilitationDementia and Cognitive Impairment Research

Cited by 481

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

Plasma fatty acid composition and incidence of diabetes in middle-aged adults: the Atherosclerosis Risk in Communities (ARIC) Study

Wang, L., Folsom, A. R., Zheng, Z.-J., Pankow, J. S., & Eckfeldt, J. H. (2003) · The American Journal of Clinical Nutrition

Fatty Acid Research and HealthNutritional Studies and Diet

Cited by 364

Epigenome-wide association study (EWAS) of BMI, BMI change and waist circumference in African American adults identifies multiple replicated loci

Demerath, E. W., Guan, W., Grove, M. L., Aslibekyan, S., Mendelson, M., Zhou, Y.-H., Hedman, Å. K., Sandling, J. K., Li, L.-A., Irvin, M. R., et al. (2015) · Human Molecular Genetics

Epigenetics and DNA MethylationGenetic Associations and Epidemiology

Cited by 355

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

Cardiovascular Events in Diabetic and Nondiabetic Adults With or Without History of Myocardial Infarction

Lee, C. D., Folsom, A. R., Pankow, J. S., & Brancati, F. L. (2004) · Circulation

Diabetes, Cardiovascular Risks, and LipoproteinsAcute Myocardial Infarction Research

Cited by 276

Genomic and transcriptomic association studies identify 16 novel susceptibility loci for venous thromboembolism

Lindström, S., Wang, L., Smith, E. N., Gordon, W., van Hylckama Vlieg, A., de Andrade, M., Brody, J. A., Pattee, J. W., Haessler, J., Brumpton, B. M., et al. (2019) · Blood

Genetic Associations and EpidemiologyBlood Coagulation and Thrombosis Mechanisms

Cited by 223

Type 2 Diabetes Variants Disrupt Function of SLC16A11 through Two Distinct Mechanisms

Rusu, V., Hoch, E., Mercader, J. M., Tenen, D. E., Gymrek, M., Hartigan, C. R., DeRan, M., von Grotthuss, M., Fontanillas, P., Spooner, A., et al. (2017) · Cell

Genetic Associations and EpidemiologyMetabolism, Diabetes, and Cancer

Cited by 152

Fructosamine and glycated albumin and the risk of cardiovascular outcomes and death

Selvin, E., Rawlings, A. M., Lutsey, P. L., Maruthur, N., Pankow, J. S., Steffes, M., & Coresh, J. (2015) · Circulation

Advanced Glycation End Products researchDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 151

Identification and validation of N-acetyltransferase 2 as an insulin sensitivity gene

Knowles, J. W., Xie, W., Zhang, Z., Chennemsetty, I., Assimes, T. L., Paananen, J., Hansson, O., Pankow, J., Goodarzi, M. O., Carcamo-Orive, I., et al. (2015) · Journal of Clinical Investigation

Genetic Associations and EpidemiologyDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 141