Herder, Christian

Prediabetes: a high-risk state for diabetes development

Tabák, A. G., Herder, C., Rathmann, W., Brunner, E. J., & Kivimäki, M. (2012) · The Lancet

Diabetes, Cardiovascular Risks, and LipoproteinsDiabetes Management and Research

Cited by 2,958

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

Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes

the DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Morris, A. P., Voight, B. F., Teslovich, T. M., Ferreira, T., Segrè, A. V., Steinthorsdottir, V., Strawbridge, R. J., Khan, H., Grallert, H., et al. (2012) · Nature Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 1,912

Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes

Wellcome Trust Case Control Consortium, Zeggini, E., Scott, L. J., Saxena, R., Voight, B. F., Marchini, J. L., Hu, T., de Bakker, P. I., Abecasis, G. R., Almgren, P., et al. (2008) · Nature Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 1,864

Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis

The MAGIC investigators, Voight, B. F., The GIANT Consortium, Scott, L. J., Steinthorsdottir, V., Morris, A. P., Dina, C., Welch, R. P., Zeggini, E., Huth, C., et al. (2010) · Nature Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 1,761

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

Systematic identification of trans eQTLs as putative drivers of known disease associations

Westra, H.-J., Peters, M. J., Esko, T., Yaghootkar, H., Schurmann, C., Kettunen, J., Christiansen, M. W., Fairfax, B. P., Schramm, K., Powell, J. E., et al. (2013) · Nature Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 1,658

Relationship between Adipocyte Size and Adipokine Expression and Secretion

Skurk, T., Alberti-Huber, C., Herder, C., & Hauner, H. (2007) · The Journal of Clinical Endocrinology & Metabolism

Adipokines, Inflammation, and Metabolic DiseasesAdipose Tissue and Metabolism

Cited by 1,288

The genetic architecture of type 2 diabetes

Fuchsberger, C., Flannick, J., Teslovich, T. M., Mahajan, A., Agarwala, V., Gaulton, K. J., Ma, C., Fontanillas, P., Moutsianas, L., McCarthy, D. J., et al. (2016) · Nature

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 1,051

Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility

DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Mahajan, A., Asian Genetic Epidemiology Network Type 2 Diabetes (AGEN-T2D) Consortium, South Asian Type 2 Diabetes (SAT2D) Consortium, Mexican American Type 2 Diabetes (MAT2D) Consortium, Type 2 Diabetes Genetic Exploration by Next-generation sequencing in multi-Ethnic Samples (T2D-GENES) Consortium, Go, M. J., Zhang, W., Below, J. E., Gaulton, K. J., et al. (2014) · Nature Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 1,034

Adaptation of hepatic mitochondrial function in humans with non-alcoholic fatty liver is lost in steatohepatitis

Koliaki, C., Szendroedi, J., Kaul, K., Jelenik, T., Nowotny, P., Jankowiak, F., Herder, C., Carstensen, M., Krausch, M., Knoefel, W. T., et al. (2015) · Cell Metabolism

Liver Disease Diagnosis and TreatmentMitochondrial Function and Pathology

Cited by 1,032

Epigenome-wide association study of body mass index, and the adverse outcomes of adiposity

Wahl, S., Drong, A., Lehne, B., Loh, M., Scott, W. R., Kunze, S., Tsai, P.-C., Ried, J. S., Zhang, W., Yang, Y., et al. (2017) · Nature

Epigenetics and DNA MethylationGenetic Associations and Epidemiology

Cited by 945

The transcriptional landscape of age in human peripheral blood

Peters, M. J., Joehanes, R., Pilling, L. C., Schurmann, C., Conneely, K. N., Powell, J., Reinmaa, E., Sutphin, G. L., Zhernakova, A., Schramm, K., et al. (2015) · Nature Communications

Genetics, Aging, and Longevity in Model OrganismsEpigenetics and DNA Methylation

Cited by 725

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

Novel biomarkers for pre-diabetes identified by metabolomics

Wang‐Sattler, R., Yu, Z., Herder, C., Messias, A. C., Floegel, A., He, Y., Heim, K., Campillos, M., Holzapfel, C., Thorand, B., et al. (2012) · Molecular Systems Biology

Metabolomics and Mass Spectrometry StudiesDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 701

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

Risk of diabetes-associated diseases in subgroups of patients with recent-onset diabetes: a 5-year follow-up study

Zaharia, O. P., Strassburger, K., Strom, A., Bönhof, G. J., Karusheva, Y., Antoniou, S., Bódis, K., Markgraf, D. F., Burkart, V., Müssig, K., et al. (2019) · The Lancet Diabetes & Endocrinology

Diabetes and associated disordersDiabetes Management and Research

Cited by 600

Role of diacylglycerol activation of PKCθ in lipid-induced muscle insulin resistance in humans

Szendroedi, J., Yoshimura, T., Phielix, E., Koliaki, C., Marcucci, M., Zhang, D., Jelenik, T., Müller, J., Herder, C., Nowotny, P., et al. (2014) · Proceedings of the National Academy of Sciences

Metabolism, Diabetes, and CancerAdipokines, Inflammation, and Metabolic Diseases

Cited by 415

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

A DNA methylation biomarker of alcohol consumption

Liu, C., Marioni, R. E., Hedman, Å. K., Pfeiffer, L., Tsai, P.-C., Reynolds, L. M., Just, A. C., Duan, Q., Boer, C. G., Tanaka, T., et al. (2018) · Molecular Psychiatry

Epigenetics and DNA MethylationAlcohol Consumption and Health Effects

Cited by 402

Effects of coffee consumption on subclinical inflammation and other risk factors for type 2 diabetes: a clinical trial

Kempf, K., Herder, C., Erlund, I., Kolb, H., Martin, S., Carstensen, M., Koenig, W., Sundvall, J., Bidel, S., Kuha, S., et al. (2010) · The American Journal of Clinical Nutrition

Coffee research and impactsNutritional Studies and Diet

Cited by 364

Empagliflozin effectively lowers liver fat content in well-controlled type 2 diabetes: a randomized, double-blind, phase 4, placebo-controlled trial

Kahl, S., Gancheva, S., Straßburger, K., Herder, C., Machann, J., Katsuyama, H., Kabisch, S., Henkel, E., Kopf, S., Lagerpusch, M., et al. (2020) · Diabetes Care

Diabetes Treatment and ManagementLiver Disease Diagnosis and Treatment

Cited by 360

Specific hepatic sphingolipids relate to insulin resistance, oxidative stress, and inflammation in nonalcoholic steatohepatitis

Apostolopoulou, M., Gordillo, R., Koliaki, C., Gancheva, S., Jelenik, T., De Filippo, E., Herder, C., Markgraf, D., Jankowiak, F., Esposito, I., et al. (2018) · Diabetes Care

Liver Disease Diagnosis and TreatmentSphingolipid Metabolism and Signaling

Cited by 284

Meta-analysis of genome-wide association studies identifies ten loci influencing allergic sensitization

Australian Asthma Genetics Consortium (AAGC), Bønnelykke, K., the EArly Genetics and Lifecourse Epidemiology (EAGLE) Consortium, Matheson, M. C., Pers, T. H., Granell, R., Strachan, D. P., Alves, A. C., Linneberg, A., Curtin, J. A., et al. (2013) · Nature Genetics

Genetic Associations and EpidemiologyAllergic Rhinitis and Sensitization

Cited by 244