Ried, Janina S.

Genetic studies of body mass index yield new insights for obesity biology

Study, T. L. C., Locke, A. E., The ADIPOGen Consortium, The AGEN-BMI Working Group, The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The, G. L. G. C., The, I. C. B. P., The MAGIC Investigators, The MuTHER Consortium, et al. (2015) · Nature

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 4,534

Defining the role of common variation in the genomic and biological architecture of adult human height

The Electronic Medical Records and Genomics (eMERGE) Consortium, Wood, A. R., The MIGen Consortium, The PAGE Consortium, Study, T. L. C., Esko, T., Yang, J., Vedantam, S., Pers, T. H., Gustafsson, S., et al. (2014) · Nature Genetics

Genetic Associations and EpidemiologyGenetics and Physical Performance

Cited by 1,853

New genetic loci link adipose and insulin biology to body fat distribution

The ADIPOGen Consortium, Shungin, D., The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The GEFOS Consortium, The GENIE Consortium, The, G. L. G. C., The, I. C. B. P., The International Endogene Consortium, Study, T. L. C., et al. (2015) · Nature

Genetic Associations and EpidemiologyAdipokines, Inflammation, and Metabolic Diseases

Cited by 1,580

Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits

Program, T. M. V., Evangelou, E., Warren, H. R., Mosen-Ansorena, D., Mifsud, B., Pazoki, R., Gao, H., Ntritsos, G., Dimou, N., Cabrera, C. P., et al. (2018) · Nature Genetics

Genetic Associations and EpidemiologyBlood Pressure and Hypertension Studies

Cited by 1,381

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

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

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

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

The impact of low-frequency and rare variants on lipid levels

ENGAGE Consortium, Surakka, I., Horikoshi, M., Mägi, R., Sarin, A.-P., Mahajan, A., Lagou, V., Marullo, L., Ferreira, T., Miraglio, B., et al. (2015) · Nature Genetics

Genetic Associations and EpidemiologyLipoproteins and Cardiovascular Health

Cited by 351

Genetic variation near IRS1 associates with reduced adiposity and an impaired metabolic profile

Kilpeläinen, T. O., Zillikens, M. C., Stančákova, A., Finucane, F. M., Ried, J. S., Langenberg, C., Zhang, W., Beckmann, J. S., Luan, J., Vandenput, L., et al. (2011) · Nature Genetics

Genetic Associations and EpidemiologyAdipokines, Inflammation, and Metabolic Diseases

Cited by 335

Large eQTL meta-analysis reveals differing patterns between cerebral cortical and cerebellar brain regions

Sieberts, S. K., Perumal, T. M., Carrasquillo, M. M., Allen, M., Reddy, J. S., Hoffman, G. E., Dang, K. K., Calley, J., Ebert, P. J., Eddy, J., et al. (2020) · Scientific Data

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 318

The Role of Adiposity in Cardiometabolic Traits: A Mendelian Randomization Analysis

Fall, T., Hägg, S., Mägi, R., Ploner, A., Fischer, K., Horikoshi, M., Sarin, A.-P., Thorleifsson, G., Ladenvall, C., Kals, M., et al. (2013) · PLoS Medicine

Genetic Associations and EpidemiologyAdipokines, Inflammation, and Metabolic Diseases

Cited by 203

Reproducibility of Molecular Phenotypes after Long-Term Differentiation to Human iPSC-Derived Neurons: A Multi-Site Omics Study

Volpato, V., Smith, J., Sandor, C., Ried, J. S., Baud, A., Handel, A., Newey, S. E., Wessely, F., Attar, M., Whiteley, E., et al. (2018) · Stem Cell Reports

Pluripotent Stem Cells ResearchSingle-cell and spatial transcriptomics

Cited by 165

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

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