Kronenberg, Florian

Next-generation genotype imputation service and methods

Das, S., Forer, L., Schönherr, S., Sidore, C., Locke, A. E., Kwong, A., Vrieze, S. I., Chew, E. Y., Levy, S., McGue, M., et al. (2016) · Nature Genetics

Genetic Associations and EpidemiologyGenomics and Phylogenetic Studies

Cited by 3,808

Biological, clinical and population relevance of 95 loci for blood lipids

Teslovich, T. M., Musunuru, K., Smith, A. V., Edmondson, A. C., Stylianou, I. M., Koseki, M., Pirruccello, J. P., Ripatti, S., Chasman, D. I., Willer, C. J., et al. (2010) · Nature

Genetic Associations and EpidemiologyLipoproteins and Cardiovascular Health

Cited by 3,487

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

Lipoprotein(a) in atherosclerotic cardiovascular disease and aortic stenosis: a European Atherosclerosis Society consensus statement

Kronenberg, F., Mora, S., Stroes, E. S. G., Ference, B. A., Arsenault, B. J., Berglund, L., Dweck, M. R., Koschinsky, M., Lambert, G., Mach, F., et al. (2022) · European Heart Journal

Lipoproteins and Cardiovascular HealthAtherosclerosis and Cardiovascular Diseases

Cited by 1,449

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

Human metabolic individuality in biomedical and pharmaceutical research

CARDIoGRAM, Suhre, K., Shin, S.-Y., Petersen, A.-K., Mohney, R. P., Meredith, D., Wägele, B., Altmaier, E., Deloukas, P., Erdmann, J., et al. (2011) · Nature

Genetic Associations and EpidemiologyMetabolomics and Mass Spectrometry Studies

Cited by 1,017

The power of genetic diversity in genome-wide association studies of lipids

Graham, S. E., Clarke, S. L., Wu, K.-H. H., Kanoni, S., Zajac, G. J. M., Ramdas, S., Surakka, I., Ntalla, I., Vedantam, S., Winkler, T. W., et al. (2021) · Nature

Genetic Associations and EpidemiologyLipoproteins and Cardiovascular Health

Cited by 972

Fasting is not routinely required for determination of a lipid profile: clinical and laboratory implications including flagging at desirable concentration cut-points—a joint consensus statement from the European Atherosclerosis Society and European Federation of Clinical Chemistry and Laboratory Medicine

Nordestgaard, B. G., Langsted, A., Mora, S., Kolovou, G., Baum, H., Bruckert, E., Watts, G. F., Sypniewska, G., Wiklund, O., Borén, J., et al. (2016) · European Heart Journal

Lipoproteins and Cardiovascular HealthClinical Laboratory Practices and Quality Control

Cited by 847

Genetics meets metabolomics: a genome-wide association study of metabolite profiles in human serum

Gieger, C., Geistlinger, L., Altmaier, E., Hrabé de Angelis, M., Kronenberg, F., Meitinger, T., Mewes, H.-W., Wichmann, H.-E., Weinberger, K. M., Adamski, J., et al. (2008) · PLoS Genetics

Genetic Associations and EpidemiologyMetabolomics and Mass Spectrometry Studies

Cited by 737

Multinational Assessment of Accuracy of Equations for Predicting Risk of Kidney Failure: A Meta-analysis

Tangri, N., Grams, M. E., Levey, A. S., Coresh, J., Appel, L. J., Astor, B. C., Chodick, G., Collins, A. J., Djurdjev, O., Elley, C. R., et al. (2016) · JAMA

Chronic Kidney Disease and DiabetesDialysis and Renal Disease Management

Cited by 737

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

A genome-wide perspective of genetic variation in human metabolism

Illig, T., Gieger, C., Zhai, G., Römisch-Margl, W., Wang-Sattler, R., Prehn, C., Altmaier, E., Kastenmüller, G., Kato, B. S., Mewes, H.-W., et al. (2010) · Nature Genetics

Genetic Associations and EpidemiologyMetabolomics and Mass Spectrometry Studies

Cited by 653

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

Baseline and on-statin treatment lipoprotein(a) levels for prediction of cardiovascular events: individual patient-data meta-analysis of statin outcome trials

Willeit, P., Ridker, P. M., Nestel, P. J., Simes, J., Tonkin, A. M., Pedersen, T. R., Schwartz, G. G., Olsson, A. G., Colhoun, H. M., Kronenberg, F., et al. (2018) · The Lancet

Lipoproteins and Cardiovascular HealthDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 564

Lipoprotein(a): resurrected by genetics

Kronenberg, F., & Utermann, G. (2013) · Journal of Internal Medicine

Lipoproteins and Cardiovascular HealthGenetic Associations and Epidemiology

Cited by 521

Telomere length and risk of incident cancer and cancer mortality

Willeit, P., Willeit, J., Mayr, A., Weger, S., Oberhollenzer, F., Brandstätter, A., Kronenberg, F., & Kiechl, S. (2010) · JAMA

Telomeres, Telomerase, and SenescenceGenetics, Aging, and Longevity in Model Organisms

Cited by 484

Mirror extreme BMI phenotypes associated with gene dosage at the chromosome 16p11.2 locus

Jacquemont, S., Reymond, A., Zufferey, F., Harewood, L., Walters, R. G., Kutalik, Z., Martinet, D., Shen, Y., Valsesia, A., Beckmann, N. D., et al. (2011) · Nature

Genomic variations and chromosomal abnormalitiesGenome Rearrangement Algorithms

Cited by 462

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

Lipoprotein metabolism and lipid management in chronic kidney disease

Kwan, B. C. H., Kronenberg, F., Beddhu, S., & Cheung, A. K. (2007) · Journal of the American Society of Nephrology

Lipoproteins and Cardiovascular HealthChronic Kidney Disease and Diabetes

Cited by 354

Discrimination and Net Reclassification of Cardiovascular Risk With Lipoprotein(a)

Willeit, P., Kiechl, S., Kronenberg, F., Witztum, J. L., Santer, P., Mayr, M., Xu, Q., Mayr, A., Willeit, J., & Tsimikas, S. (2014) · Journal of the American College of Cardiology

Lipoproteins and Cardiovascular HealthDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 286

Genome-wide analyses identify a role for SLC17A4 and AADAT in thyroid hormone regulation

Teumer, A., Chaker, L., Groeneweg, S., Li, Y., Di Munno, C., Barbieri, C., Schultheiss, U. T., Traglia, M., Ahluwalia, T. S., Akiyama, M., et al. (2018) · Nature Communications

Thyroid Disorders and TreatmentsGenetic Associations and Epidemiology

Cited by 280

Quantifying Atherogenic Lipoproteins: Current and Future Challenges in the Era of Personalized Medicine and Very Low Concentrations of LDL Cholesterol. A Consensus Statement from EAS and EFLM

Langlois, M. R., Chapman, M. J., Cobbaert, C., Mora, S., Remaley, A. T., Ros, E., Watts, G. F., Borén, J., Baum, H., Bruckert, E., et al. (2018) · Clinical Chemistry

Lipoproteins and Cardiovascular HealthDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 260

Quantifying atherogenic lipoproteins for lipid-lowering strategies: Consensus-based recommendations from EAS and EFLM

Nordestgaard, B. G., Langlois, M. R., Langsted, A., Chapman, M. J., Aakre, K. M., Baum, H., Borén, J., Bruckert, E., Catapano, A., Cobbaert, C., et al. (2020) · Atherosclerosis

Lipoproteins and Cardiovascular HealthDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 246

Lipoprotein Apheresis for Lipoprotein(a)-Associated Cardiovascular Disease: Prospective 5 Years of Follow-Up and Apolipoprotein(a) Characterization

Roeseler, E., Julius, U., Heigl, F., Spitthoever, R., Heutling, D., Breitenberger, P., Leebmann, J., Lehmacher, W., Kamstrup, P. R., Nordestgaard, B. G., et al. (2016) · Arteriosclerosis, Thrombosis, and Vascular Biology

Lipoproteins and Cardiovascular HealthLipid metabolism and disorders

Cited by 227