Peters, Annette

Long‐term exposure to air pollution and liver cancer incidence in six European cohorts

So, R., Chen, J., Mehta, A. J., Liu, S., Strak, M., Wolf, K., Hvidtfeldt, U. A., Rodopoulou, S., Stafoggia, M., Klompmaker, J. O., et al. (2021) · International Journal of Cancer

Air Quality and Health ImpactsEnvironmental Justice and Health Disparities

Cited by 82

Multi-trait analysis characterizes the genetics of thyroid function and identifies causal associations with clinical implications.

Sterenborg, R. B. T. M., Steinbrenner, I., Li, Y., Bujnis, M. N., Naito, T., Marouli, E., Galesloot, T. E., Babajide, O., Andreasen, L., Astrup, A., et al. (2024) · Nature Communications

Genetic Associations and EpidemiologyThyroid Disorders and Treatments

Cited by 79

Prediction models for incident Type 2 diabetes mellitus in the older population: KORA S4/F4 cohort study

Rathmann, W., Kowall, B., Heier, M., Herder, C., Holle, R., Thorand, B., Strassburger, K., Peters, A., Wichmann, H. ‐., Giani, G., et al. (2010) · Diabetic Medicine

Diabetes, Cardiovascular Risks, and LipoproteinsDiabetes Management and Research

Cited by 74

Diminishing benefits of urban living for children and adolescents' growth and development

NCD Risk Factor Collaboration (NCD-RisC), Mishra, A., Zhou, B., Rodriguez-Martinez, A., Bixby, H., Singleton, R. K., Carrillo-Larco, R. M., Sheffer, K. E., Paciorek, C. J., Bennett, J. E., et al. (2023) · Nature

Obesity, Physical Activity, DietHuman Health and Disease

Cited by 70

Metformin Effect on Nontargeted Metabolite Profiles in Patients With Type 2 Diabetes and in Multiple Murine Tissues

Adam, J., Brandmaier, S., Leonhardt, J., Scheerer, M. F., Mohney, R. P., Xu, T., Bi, J., Rotter, M., Troll, M., Chi, S., et al. (2016) · Diabetes

Metabolism, Diabetes, and CancerMetabolomics and Mass Spectrometry Studies

Cited by 68

Machine Learning Approaches Reveal Metabolic Signatures of Incident Chronic Kidney Disease in Individuals With Prediabetes and Type 2 Diabetes

Huang, J., Huth, C., Covic, M., Troll, M., Adam, J., Zukunft, S., Prehn, C., Wang, L., Nano, J., Scheerer, M. F., et al. (2020) · Diabetes

Chronic Kidney Disease and DiabetesMetabolomics and Mass Spectrometry Studies

Cited by 60

Protein markers and risk of type 2 diabetes and prediabetes: a targeted proteomics approach in the KORA F4/FF4 study

Huth, C., von Toerne, C., Schederecker, F., de las Heras Gala, T., Herder, C., Kronenberg, F., Meisinger, C., Rathmann, W., Koenig, W., Waldenberger, M., et al. (2019) · European Journal of Epidemiology

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

Cited by 56

Longitudinal association of type 2 diabetes and insulin therapy with muscle parameters in the KORA-Age study

Ferrari, U., Then, C., Rottenkolber, M., Selte, C., Seissler, J., Conzade, R., Linkohr, B., Peters, A., Drey, M., & Thorand, B. (2020) · Acta Diabetologica

Nutrition and Health in AgingDiabetes Treatment and Management

Cited by 52

Update of the German Diabetes Risk Score and external validation in the German MONICA/KORA study

Mühlenbruch, K., Ludwig, T., Jeppesen, C., Joost, H.-G., Rathmann, W., Meisinger, C., Peters, A., Boeing, H., Thorand, B., & Schulze, M. B. (2014) · Diabetes Research and Clinical Practice

Diabetes, Cardiovascular Risks, and LipoproteinsHealth Promotion and Cardiovascular Prevention

Cited by 52

Genetic analyses of the electrocardiographic QT interval and its components identify additional loci and pathways

Young, W. J., Lahrouchi, N., Isaacs, A., Duong, T., Foco, L., Ahmed, F., Brody, J. A., Salman, R., Noordam, R., Benjamins, J.-W., et al. (2022) · Nature Communications

Cardiac electrophysiology and arrhythmiasGenetic Associations and Epidemiology

Cited by 49

Protein-coding variants contribute to the risk of atopic dermatitis and skin-specific gene expression

Mucha, S., Baurecht, H., Novak, N., Rodríguez, E., Bej, S., Mayr, G., Emmert, H., Stölzl, D., Gerdes, S., Jung, E. S., et al. (2020) · Journal of Allergy and Clinical Immunology

Dermatology and Skin DiseasesGenetic Associations and Epidemiology

Cited by 48

The role of SCARB2 as susceptibility factor in Parkinson's disease

Hopfner, F., Schulte, E. C., Mollenhauer, B., Bereznai, B., Knauf, F., Lichtner, P., Zimprich, A., Haubenberger, D., Pirker, W., Brücke, T., et al. (2013) · Movement Disorders

Lysosomal Storage Disorders ResearchParkinson's Disease Mechanisms and Treatments

Cited by 46

Genetic Determinants of Circulating Interleukin-1 Receptor Antagonist Levels and Their Association With Glycemic Traits

Herder, C., Nuotio, M.-L., Shah, S., Blankenberg, S., Brunner, E. J., Carstensen, M., Gieger, C., Grallert, H., Jula, A., Kähönen, M., et al. (2014) · Diabetes

Genetic Associations and EpidemiologyAdipokines, Inflammation, and Metabolic Diseases

Cited by 46

Sarcopenic obesity using the ESPEN and EASO consensus statement criteria of 2022 – Results from the German KORA-Age study

Schluessel, S., Huemer, M.-T., Peters, A., Drey, M., & Thorand, B. (2023) · Obesity Research & Clinical Practice

Nutrition and Health in AgingBody Composition Measurement Techniques

Cited by 46

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

Long-term exposure to ambient air pollution and bladder cancer incidence in a pooled European cohort: the ELAPSE project

Chen, J., Rodopoulou, S., Strak, M., de Hoogh, K., Taj, T., Poulsen, A. H., Andersen, Z. J., Bellander, T., Brandt, J., Zitt, E., et al. (2022) · British Journal of Cancer

Air Quality and Health ImpactsCarcinogens and Genotoxicity Assessment

Cited by 43

Are daylight saving time transitions associated with changes in myocardial infarction incidence? Results from the German MONICA/KORA Myocardial Infarction Registry

Kirchberger, I., Wolf, K., Heier, M., Kuch, B., von Scheidt, W., Peters, A., & Meisinger, C. (2015) · BMC Public Health

Acute Myocardial Infarction ResearchCircadian rhythm and melatonin

Cited by 39

Modeling multi-level survival data in multi-center epidemiological cohort studies: Applications from the ELAPSE project

Samoli, E., Rodopoulou, S., Hvidtfeldt, U. A., Wolf, K., Stafoggia, M., Brunekreef, B., Strak, M., Chen, J., Andersen, Z. J., Atkinson, R., et al. (2021) · Environment International

Statistical Methods in EpidemiologyStatistical Methods and Bayesian Inference

Cited by 33

Mapping the Genetic Architecture of Gene Regulation in Whole Blood

Schramm, K., Marzi, C., Schurmann, C., Carstensen, M., Reinmaa, E., Biffar, R., Eckstein, G., Gieger, C., Grabe, H.-J., Homuth, G., et al. (2014) · PLoS ONE

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 33

Novel loci affecting iron homeostasis and their effects in individuals at risk for hemochromatosis

Benyamin, B., Esko, T., Ried, J. S., Radhakrishnan, A., Vermeulen, S. H., Traglia, M., Gögele, M., Anderson, D., Broer, L., Podmore, C., et al. (2014) · Nature Communications

Iron Metabolism and DisordersGenetic Associations and Epidemiology

Cited by 30

Adipose tissue is associated with kidney function parameters

Mueller-Peltzer, K., von Krüchten, R., Lorbeer, R., Rospleszcz, S., Schulz, H., Peters, A., Bamberg, F., Schlett, C. L., & Mujaj, B. (2023) · Scientific Reports

Chronic Kidney Disease and DiabetesCardiovascular Disease and Adiposity

Cited by 25

Genome-wide studies reveal factors associated with circulating uromodulin and its relationships to complex diseases

Li, Y., Cheng, Y., Consolato, F., Schiano, G., Chong, M. R., Pietzner, M., Nguyen, N. Q. H., Scherer, N., Biggs, M. L., Kleber, M. E., et al. (2022) · JCI Insight

Genetic Associations and EpidemiologyRenal Diseases and Glomerulopathies

Cited by 22

PSEA: Phenotype Set Enrichment Analysis—A New Method for Analysis of Multiple Phenotypes

Ried, J. S., Döring, A., Oexle, K., Meisinger, C., Winkelmann, J., Klopp, N., Meitinger, T., Peters, A., Suhre, K., Wichmann, H. ‐., et al. (2012) · Genetic Epidemiology

Bioinformatics and Genomic NetworksGenetic Associations and Epidemiology

Cited by 21

Age- and sex-adjusted reference intervals for steroid hormones measured by liquid chromatography–tandem mass spectrometry using a widely available kit

Kunz, S., Wang, X., Ferrari, U., Drey, M., Theodoropoulou, M., Schilbach, K., Reincke, M., Heier, M., Peters, A., Koenig, W., et al. (2023) · Endocrine Connections

Clinical Laboratory Practices and Quality ControlAdrenal Hormones and Disorders

Cited by 14