Brenner, Hermann

A systematic review of leukocyte telomere length and age in adults

Müezzinler, A., Zaineddin, A. K., & Brenner, H. (2013) · Ageing Research Reviews

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

Cited by 474

Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis of 2181 population-based studies with 65 million participants

Rodriguez-Martinez, A., Zhou, B., Sophiea, M. K., Bentham, J., Paciorek, C. J., Iurilli, M. L., Carrillo-Larco, R. M., Bennett, J. E., Di Cesare, M., Taddei, C., et al. (2020) · The Lancet

Obesity, Physical Activity, DietHuman Health and Disease

Cited by 417

Pan-cancer analysis of somatic copy-number alterations implicates IRS4 and IGF2 in enhancer hijacking

Weischenfeldt, J., Dubash, T., Drainas, A. P., Mardin, B. R., Chen, Y., Stütz, A. M., Waszak, S. M., Bosco, G., Halvorsen, A. R., Raeder, B., et al. (2017) · Nature Genetics

Cancer Genomics and DiagnosticsGenomics and Chromatin Dynamics

Cited by 404

Large-scale genomic analyses link reproductive aging to hypothalamic signaling, breast cancer susceptibility and BRCA1-mediated DNA repair

The PRACTICAL Consortium, Day, F. R., kConFab Investigators, AOCS Investigators, Scotland, G., EPIC-InterAct Consortium, Study, L. C., Ruth, K. S., Thompson, D. J., Lunetta, K. L., et al. (2015) · Nature Genetics

Genetic Associations and EpidemiologyBRCA gene mutations in cancer

Cited by 402

Estimated Glomerular Filtration Rate, Albuminuria, and Adverse Outcomes: An Individual-Participant Data Meta-Analysis

Writing Group for the CKD Prognosis Consortium, Appel, L. J., Grams, M., Woodward, M., Harris, K., Arima, H., Chalmers, J., Yatsuya, H., Tamakoshi, K., Li, Y., et al. (2023) · JAMA

Chronic Kidney Disease and DiabetesAcute Kidney Injury Research

Cited by 396

DNA methylation changes of whole blood cells in response to active smoking exposure in adults: a systematic review of DNA methylation studies

Gao, X., Jia, M., Zhang, Y., Breitling, L. P., & Brenner, H. (2015) · Clinical Epigenetics

Epigenetics and DNA MethylationSmoking Behavior and Cessation

Cited by 386

DNA methylation signatures in peripheral blood strongly predict all-cause mortality

Zhang, Y., Wilson, R., Heiss, J., Breitling, L. P., Saum, K.-U., Schöttker, B., Holleczek, B., Waldenberger, M., Peters, A., & Brenner, H. (2017) · Nature Communications

Epigenetics and DNA MethylationGenetic Associations and Epidemiology

Cited by 382

Clinical-Grade Detection of Microsatellite Instability in Colorectal Tumors by Deep Learning

Echle, A., Grabsch, H. I., Quirke, P., van den Brandt, P. A., West, N. P., Hutchins, G. G. A., Heij, L. R., Tan, X., Richman, S. D., Krause, J., et al. (2020) · Gastroenterology

Genetic factors in colorectal cancerAI in cancer detection

Cited by 376

SCORE2-Diabetes: 10-year cardiovascular risk estimation in type 2 diabetes in Europe

SCORE2-Diabetes Working Group and the ESC Cardiovascular Risk Collaboration, Pennells, L., Kaptoge, S., Østergaard, H. B., Read, S. H., Carinci, F., Franch-Nadal, J., Petitjean, C., Taylor, O., Hageman, S. H. J., et al. (2023) · European Heart Journal

Diabetes, Cardiovascular Risks, and LipoproteinsHealth Promotion and Cardiovascular Prevention

Cited by 329

Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric study

Wagner, S. J., Reisenbüchler, D., West, N. P., Niehues, J. M., Zhu, J., Foersch, S., Veldhuizen, G. P., Quirke, P., Grabsch, H. I., van den Brandt, P. A., et al. (2023) · Cancer Cell

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 275

Genome-wide meta-analysis identifies five new susceptibility loci for pancreatic cancer

Klein, A. P., Wolpin, B. M., Risch, H. A., Stolzenberg-Solomon, R. Z., Mocci, E., Zhang, M., Canzian, F., Childs, E. J., Hoskins, J. W., Jermusyk, A., et al. (2018) · Nature Communications

Pancreatic and Hepatic Oncology ResearchGenetic Associations and Epidemiology

Cited by 268

Assessing performance of the Healthcare Access and Quality Index, overall and by select age groups, for 204 countries and territories, 1990–2019: a systematic analysis from the Global Burden of Disease Study 2019

Haakenstad, A., Yearwood, J. A., Fullman, N., Bintz, C., Bienhoff, K., Weaver, M. R., Nandakumar, V., LeGrand, K. E., Knight, M., Abbafati, C., et al. (2022) · The Lancet Global Health

Global Health Care IssuesHealthcare Systems and Practices

Cited by 258

Dependence of Weighted Kappa Coefficients on the Number of Categories

Brenner, H., & Kliebsch, U. (1996) · Epidemiology

Reliability and Agreement in MeasurementStatistical Methods in Epidemiology

Cited by 255

Fear of recurrence in long-term breast cancer survivors-still an issue. Results on prevalence, determinants, and the association with quality of life and depression from the Cancer Survivorship-a multi-regional population-based study

Koch, L., Bertram, H., Eberle, A., Holleczek, B., Schmid-Höpfner, S., Waldmann, A., Zeissig, S. R., Brenner, H., & Arndt, V. (2014) · Psycho-Oncology

Cancer survivorship and careChildhood Cancer Survivors' Quality of Life

Cited by 253

Glycated hemoglobin measurement and prediction of cardiovascular disease

Di Angelantonio, E., Gao, P., Khan, H., Butterworth, A. S., Wormser, D., Kaptoge, S., Kondapally Seshasai, S. R., Thompson, A., Sarwar, N., Willeit, P., et al. (2014) · JAMA

Diabetes, Cardiovascular Risks, and LipoproteinsDiabetes Management and Research

Cited by 231

Swarm learning for decentralized artificial intelligence in cancer histopathology

Saldanha, O. L., Quirke, P., West, N. P., James, J. A., Loughrey, M. B., Grabsch, H. I., Salto-Tellez, M., Alwers, E., Cifci, D., Ghaffari Laleh, N., et al. (2022) · Nature Medicine

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 227

Socioeconomic position, lifestyle habits and biomarkers of epigenetic aging: a multi-cohort analysis

Fiorito, G., the BIOS Consortium, the Lifepath consortium, McCrory, C., Robinson, O., Carmeli, C., Rosales, C. O., Zhang, Y., Colicino, E., Dugué, P.-A., et al. (2019) · Aging

Epigenetics and DNA MethylationHealth disparities and outcomes

Cited by 219

Global age-sex-specific all-cause mortality and life expectancy estimates for 204 countries and territories and 660 subnational locations, 1950–2023: a demographic analysis for the Global Burden of Disease Study 2023

Schumacher, A. E., Zheng, P., Barber, R. M., A, B., Aalipour, M. A., Aalruz, H., Ababneh, H. S., Abaraogu, U. O., Abbafati, C., Abbas, N., et al. (2025) · The Lancet

Insurance, Mortality, Demography, Risk ManagementGlobal Cancer Incidence and Screening

Cited by 209

Replication of Lung Cancer Susceptibility Loci at Chromosomes 15q25, 5p15, and 6p21: A Pooled Analysis From the International Lung Cancer Consortium

Truong, T., Hung, R. J., Amos, C. I., Wu, X., Bickeböller, H., Rosenberger, A., Sauter, W., Illig, T., Wichmann, H.-E., Risch, A., et al. (2010) · JNCI: Journal of the National Cancer Institute

Genetic Associations and EpidemiologyLung Cancer Research Studies

Cited by 194

Amyloid blood biomarker detects Alzheimer's disease

Nabers, A., Perna, L., Lange, J., Mons, U., Schartner, J., Güldenhaupt, J., Saum, K., Janelidze, S., Holleczek, B., Rujescu, D., et al. (2018) · EMBO Molecular Medicine

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 185

Age- and Tumor Subtype–Specific Breast Cancer Risk Estimates for CH EK 2 *1100delC Carriers

Schmidt, M. K., Hogervorst, F., van Hien, R., Cornelissen, S., Broeks, A., Adank, M. A., Meijers, H., Waisfisz, Q., Hollestelle, A., Schutte, M., et al. (2016) · Journal of Clinical Oncology

BRCA gene mutations in cancerBreast Lesions and Carcinomas

Cited by 173

Estimating and explaining the effect of education and income on head and neck cancer risk: INHANCE consortium pooled analysis of 31 case-control studies from 27 countries

Conway, D. I., Brenner, D. R., McMahon, A. D., Macpherson, L. M. D., Agudo, A., Ahrens, W., Bosetti, C., Brenner, H., Castellsague, X., Chen, C., et al. (2015) · International Journal of Cancer

Head and Neck Cancer StudiesGlobal Cancer Incidence and Screening

Cited by 167

Breast cancer risk variants at 6q25 display different phenotype associations and regulate ESR1, RMND1 and CCDC170

EMBRACE, Dunning, A. M., Collaborators, G. S., HEBON, kConFab Investigators, Michailidou, K., Kuchenbaecker, K. B., Thompson, D., French, J. D., Beesley, J., et al. (2016) · Nature Genetics

Genetic Associations and EpidemiologyEstrogen and related hormone effects

Cited by 161

Persistence of Restrictions in Quality of Life From the First to the Third Year After Diagnosis in Women With Breast Cancer

Arndt, V., Merx, H., Stegmaier, C., Ziegler, H., & Brenner, H. (2005) · Journal of Clinical Oncology

Cancer survivorship and careChildhood Cancer Survivors' Quality of Life

Cited by 159