Schwarz, Peter E. H.

Genetic studies of body mass index yield new insights for obesity biology

Study, T. L. C., Locke, A. E., The ADIPOGen Consortium, The AGEN-BMI Working Group, The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The, G. L. G. C., The, I. C. B. P., The MAGIC Investigators, The MuTHER Consortium, et al. (2015) · Nature

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 4,534

Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

MAGIC, Speliotes, E. K., on behalf of Procardis Consortium, Willer, C. J., Berndt, S. I., Monda, K. L., Thorleifsson, G., Jackson, A. U., Allen, H. L., Lindgren, C. M., et al. (2010) · Nature Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 2,912

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

Defining the role of common variation in the genomic and biological architecture of adult human height

The Electronic Medical Records and Genomics (eMERGE) Consortium, Wood, A. R., The MIGen Consortium, The PAGE Consortium, Study, T. L. C., Esko, T., Yang, J., Vedantam, S., Pers, T. H., Gustafsson, S., et al. (2014) · Nature Genetics

Genetic Associations and EpidemiologyGenetics and Physical Performance

Cited by 1,853

New genetic loci link adipose and insulin biology to body fat distribution

The ADIPOGen Consortium, Shungin, D., The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The GEFOS Consortium, The GENIE Consortium, The, G. L. G. C., The, I. C. B. P., The International Endogene Consortium, Study, T. L. C., et al. (2015) · Nature

Genetic Associations and EpidemiologyAdipokines, Inflammation, and Metabolic Diseases

Cited by 1,580

Systematic review of reviews of intervention components associated with increased effectiveness in dietary and physical activity interventions

The IMAGE Study Group, Greaves, C. J., Sheppard, K. E., Abraham, C., Hardeman, W., Roden, M., Evans, P. H., & Schwarz, P. (2011) · BMC Public Health

Behavioral Health and InterventionsPhysical Activity and Health

Cited by 1,163

Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution

MAGIC, Heid, I. M., Jackson, A. U., Randall, J. C., Winkler, T. W., Qi, L., Steinthorsdottir, V., Thorleifsson, G., Zillikens, M. C., Speliotes, E. K., et al. (2010) · Nature Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 931

Common variants associated with plasma triglycerides and risk for coronary artery disease

Do, R., Willer, C. J., Schmidt, E. M., Sengupta, S., Gao, C., Peloso, G. M., Gustafsson, S., Kanoni, S., Ganna, A., Chen, J., et al. (2013) · Nature Genetics

Genetic Associations and EpidemiologyLipoproteins and Cardiovascular Health

Cited by 862

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

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 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

Mapping the evidence on the effectiveness of telemedicine interventions in diabetes, dyslipidemia, and hypertension: An umbrella review of systematic reviews and meta-analyses

Timpel, P., Oswald, S., Schwarz, P. E. H., & Harst, L. (2020) · Journal of Medical Internet Research

Telemedicine and Telehealth ImplementationMobile Health and mHealth Applications

Cited by 243

Genetic evidence that raised sex hormone binding globulin (SHBG) levels reduce the risk of type 2 diabetes

Perry, J. R. B., Weedon, M. N., Langenberg, C., Jackson, A. U., Lyssenko, V., Sparsø, T., Thorleifsson, G., Grallert, H., Ferrucci, L., Maggio, M., et al. (2010) · Human Molecular Genetics

Genetic Associations and EpidemiologyHormonal and reproductive studies

Cited by 217

Atopic dermatitis is associated with an increased risk for rheumatoid arthritis and inflammatory bowel disease, and a decreased risk for type 1 diabetes

Schmitt, J., Schwarz, K., Baurecht, H., Hotze, M., Fölster-Holst, R., Rodríguez, E., Lee, Y. A. E., Franke, A., Degenhardt, F., Lieb, W., et al. (2016) · Journal of Allergy and Clinical Immunology

Dermatology and Skin DiseasesRheumatoid Arthritis Research and Therapies

Cited by 215

Tools for Predicting the Risk of Type 2 Diabetes in Daily Practice

Schwarz, P., Li, J., Lindstrom, J., & Tuomilehto, J. (2009) · Hormone and Metabolic Research

Diabetes, Cardiovascular Risks, and LipoproteinsHealth Promotion and Cardiovascular Prevention

Cited by 213

A Simplified Finnish Diabetes Risk Score to Predict Type 2 Diabetes Risk and Disease Evolution in a German Population

Bergmann, A., Li, J., Wang, L., Schulze, J., Bornstein, S., & Schwarz, P. (2007) · Hormone and Metabolic Research

Diabetes, Cardiovascular Risks, and LipoproteinsHealth Promotion and Cardiovascular Prevention

Cited by 112

Mechanisms of weight loss-induced remission in people with prediabetes: a post-hoc analysis of the randomised, controlled, multicentre Prediabetes Lifestyle Intervention Study (PLIS)

Sandforth, A., von Schwartzenberg, R. J., Arreola, E. V., Hanson, R. L., Sancar, G., Katzenstein, S., Lange, K., Preißl, H., Dreher, S. I., Weigert, C., et al. (2023) · The Lancet Diabetes & Endocrinology

Diabetes, Cardiovascular Risks, and LipoproteinsDiabetes Treatment and Management

Cited by 100

Waist-to-height ratio and metabolic phenotype compared to the Matsuda index for the prediction of insulin resistance

Lechner, K., Lechner, B., Crispin, A., Schwarz, P. E. H., & von Bibra, H. (2021) · Scientific Reports

Diabetes, Cardiovascular Risks, and LipoproteinsDiabetes Management and Research

Cited by 46

Impact of a Digital Lifestyle Intervention on Diabetes Self-Management: A Pilot Study

Bretschneider, M. P., Klásek, J., Karbanová, M., Timpel, P., Herrmann, S., & Schwarz, P. E. H. (2022) · Nutrients

Mobile Health and mHealth ApplicationsDiabetes Management and Education

Cited by 39

Evaluation of the Impact of Mobile Health App Vitadio in Patients With Type 2 Diabetes: Randomized Controlled Trial

Bretschneider, M. P., Kolasińska, A. B., Šomvárska, L., Klásek, J., Mareš, J., & Schwarz, P. E. (2025) · Journal of Medical Internet Research

Mobile Health and mHealth ApplicationsDiabetes Management and Education

Cited by 23