Langenberg, Claudia

KLB is associated with alcohol drinking, and its gene product β-Klotho is necessary for FGF21 regulation of alcohol preference

Schumann, G., Liu, C., O’Reilly, P., Gao, H., Song, P., Xu, B., Ruggeri, B., Amin, N., Jia, T., Preis, S., et al. (2016) · Proceedings of the National Academy of Sciences

Fibroblast Growth Factor ResearchNeurotransmitter Receptor Influence on Behavior

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Synergistic insights into human health from aptamer- and antibody-based proteomic profiling

Pietzner, M., Wheeler, E., Carrasco-Zanini, J., Kerrison, N. D., Oerton, E., Koprulu, M., Luan, J., Hingorani, A. D., Williams, S. A., Wareham, N. J., et al. (2021) · Nature Communications

Genetic Associations and EpidemiologyAdvanced Biosensing Techniques and Applications

Cited by 234

Association of Genetic Variants Related to Gluteofemoral vs Abdominal Fat Distribution With Type 2 Diabetes, Coronary Disease, and Cardiovascular Risk Factors

Lotta, L. A., Wittemans, L. B. L., Zuber, V., Stewart, I. D., Sharp, S. J., Luan, J., Day, F. R., Li, C., Bowker, N., Cai, L., et al. (2018) · JAMA

Genetic Associations and EpidemiologyDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 229

Genome-wide meta-analysis of observational studies shows common genetic variants associated with macronutrient intake

Tanaka, T., Ngwa, J. S., van Rooij, F. J., Zillikens, M. C., Wojczynski, M. K., Frazier-Wood, A. C., Houston, D. K., Kanoni, S., Lemaitre, R. N., Luan, J., et al. (2013) · The American Journal of Clinical Nutrition

Nutrition, Genetics, and DiseaseGenetic Associations and Epidemiology

Cited by 226

The amount and type of dairy product intake and incident type 2 diabetes: results from the EPIC-InterAct Study

Sluijs, I., Forouhi, N. G., Beulens, J. W., van der Schouw, Y. T., Agnoli, C., Arriola, L., Balkau, B., Barricarte, A., Boeing, H., Bueno-de-Mesquita, H. B., et al. (2012) · The American Journal of Clinical Nutrition

Nutritional Studies and DietProbiotics and Fermented Foods

Cited by 223

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

Associations between potentially modifiable risk factors and Alzheimer disease: a mendelian randomization study

Østergaard, S. D., Mukherjee, S., Sharp, S. J., Proitsi, P., Lotta, L. A., Day, F., Perry, J. R. B., Boehme, K. L., Walter, S., Kauwe, J. S., et al. (2015) · PLOS Medicine

Dementia and Cognitive Impairment ResearchGenetic Associations and Epidemiology

Cited by 203

Age at Menarche and Type 2 Diabetes Risk

Elks, C. E., Ong, K. K., Scott, R. A., van der Schouw, Y. T., Brand, J. S., Wark, P. A., Amiano, P., Balkau, B., Barricarte, A., Boeing, H., et al. (2013) · Diabetes Care

Hypothalamic control of reproductive hormonesDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 186

Integrated Analyses of Microbiome and Longitudinal Metabolome Data Reveal Microbial-Host Interactions on Sulfur Metabolism in Parkinson’s Disease

Hertel, J., Harms, A. C., Heinken, A., Baldini, F., Thinnes, C. C., Glaab, E., Vasco, D. A., Pietzner, M., Stewart, I. D., Wareham, N. J., et al. (2019) · Cell Reports

Gut microbiota and healthParkinson's Disease Mechanisms and Treatments

Cited by 162

Consumption of Meat, Fish, Dairy Products, and Eggs and Risk of Ischemic Heart Disease: A Prospective Study of 7198 Incident Cases Among 409 885 Participants in the Pan-European EPIC Cohort

Key, T. J., Appleby, P. N., Bradbury, K. E., Sweeting, M., Wood, A., Johansson, I., Kühn, T., Steur, M., Weiderpass, E., Wennberg, M., et al. (2019) · Circulation

Nutritional Studies and DietFatty Acid Research and Health

Cited by 147

Plasma urate concentration and risk of coronary heart disease: a Mendelian randomisation analysis.

White, J., Sofat, R., Hemani, G., Shah, T., Engmann, J., Dale, C., Shah, S., Kruger, F. A., Giambartolomei, C., Swerdlow, D. I., et al. (2016) · The Lancet Diabetes & Endocrinology

Gout, Hyperuricemia, Uric AcidGenetic Associations and Epidemiology

Cited by 132

Association of Genetic Loci With Glucose Levels in Childhood and Adolescence

Barker, A., Sharp, S. J., Timpson, N. J., Bouatia-Naji, N., Warrington, N. M., Kanoni, S., Beilin, L. J., Brage, S., Deloukas, P., Evans, D. M., et al. (2011) · Diabetes

Genetic Associations and EpidemiologyDiabetes and associated disorders

Cited by 117

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

Mitochondrial DNA variants modulate N-formylmethionine, proteostasis and risk of late-onset human diseases

Cai, N., Gomez-Duran, A., Yonova-Doing, E., Kundu, K., Burgess, A. I., Golder, Z. J., Calabrese, C., Bonder, M. J., Camacho, M., Lawson, R. A., et al. (2021) · Nature Medicine

Mitochondrial Function and PathologyGenetic Associations and Epidemiology

Cited by 73

Genome-wide meta-analysis of macronutrient intake of 91,114 European ancestry participants from the cohorts for heart and aging research in genomic epidemiology consortium

Merino, J., Dashti, H. S., Li, S. X., Sarnowski, C., Justice, A. E., Graff, M., Papoutsakis, C., Smith, C. E., Dedoussis, G. V., Lemaitre, R. N., et al. (2019) · Molecular Psychiatry

Genetic Associations and EpidemiologyNutrition, Genetics, and Disease

Cited by 66

Type 2 diabetes–associated variants of the MT 2 melatonin receptor affect distinct modes of signaling

Karamitri, A., Plouffe, B., Bonnefond, A., Chen, M., Gallion, J., Guillaume, J.-L., Hegron, A., Boissel, M., Canouil, M., Langenberg, C., et al. (2018) · Science Signaling

Circadian rhythm and melatoninReceptor Mechanisms and Signaling

Cited by 62

Proteogenomic links to human metabolic diseases

Koprulu, M., Carrasco-Zanini, J., Wheeler, E., Lockhart, S., Kerrison, N. D., Wareham, N. J., Pietzner, M., & Langenberg, C. (2023) · Nature Metabolism

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 57

Mapping the serum proteome to neurological diseases using whole genome sequencing

Png, G., Barysenka, A., Repetto, L., Navarro, P., Shen, X., Pietzner, M., Wheeler, E., Wareham, N. J., Langenberg, C., Tsafantakis, E., et al. (2021) · Nature Communications

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 55

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

Consumption of fatty foods and incident type 2 diabetes in populations from eight European countries

Buijsse, B., Boeing, H., Drogan, D., Schulze, M. B., Feskens, E. J., Amiano, P., Barricarte, A., Clavel-Chapelon, F., de Lauzon-Guillain, B., Fagherazzi, G., et al. (2015) · European Journal of Clinical Nutrition

Nutritional Studies and DietDiet, Metabolism, and Disease

Cited by 46

Proteomic prediction of diverse incident diseases: a machine learning-guided biomarker discovery study using data from a prospective cohort study

Carrasco-Zanini, J., Pietzner, M., Koprulu, M., Wheeler, E., Kerrison, N. D., Wareham, N. J., & Langenberg, C. (2024) · The Lancet Digital Health

Genetic Associations and EpidemiologyHealth, Environment, Cognitive Aging

Cited by 46

Lowering of Circulating Sclerostin May Increase Risk of Atherosclerosis and Its Risk Factors: Evidence From a Genome‐Wide Association Meta‐Analysis Followed by Mendelian Randomization

Zheng, J., Wheeler, E., Pietzner, M., Andlauer, T. F. M., Yau, M. S., Hartley, A. E., Brumpton, B. M., Rasheed, H., Kemp, J. P., Frysz, M., et al. (2023) · Arthritis & Rheumatology

Bone health and osteoporosis researchGenetic Associations and Epidemiology

Cited by 44

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

Identifying therapeutic targets for cancer among 2074 circulating proteins and risk of nine cancers

Smith-Byrne, K., Hedman, Å., Dimitriou, M., Desai, T., Sokolov, A. V., Schioth, H. B., Koprulu, M., Pietzner, M., Langenberg, C., Atkins, J., et al. (2024) · Nature Communications

Genetic Associations and EpidemiologyCancer Genomics and Diagnostics

Cited by 33