Meitinger, Thomas

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

Genome-wide, large-scale production of mutant mice by ENU mutagenesis

de Angelis, M. H., Flaswinkel, H., Fuchs, H., Rathkolb, B., Soewarto, D., Marschall, S., Heffner, S., Pargent, W., Wuensch, K., Jung, M., et al. (2000) · Nature Genetics

Plant Genetic and Mutation StudiesCarcinogens and Genotoxicity Assessment

Cited by 664

Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals

Okbay, A., Wu, Y., Wang, N., Jayashankar, H., Bennett, M., Nehzati, S. M., Sidorenko, J., Kweon, H., Goldman, G., Gjorgjieva, T., et al. (2022) · Nature Genetics

Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestock

Cited by 654

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

Meta-analysis identifies six new susceptibility loci for atrial fibrillation

Ellinor, P. T., Lunetta, K. L., Albert, C. M., Glazer, N. L., Ritchie, M. D., Smith, A. V., Arking, D. E., Müller-Nurasyid, M., Krijthe, B. P., Lubitz, S. A., et al. (2012) · Nature Genetics

Atrial Fibrillation Management and OutcomesGenetic Associations and Epidemiology

Cited by 601

Genetic diagnosis of Mendelian disorders via RNA sequencing

Kremer, L. S., Bader, D. M., Mertes, C., Kopajtich, R., Pichler, G., Iuso, A., Haack, T. B., Graf, E., Schwarzmayr, T., Terrile, C., et al. (2017) · Nature Communications

Genomics and Rare DiseasesMitochondrial Function and Pathology

Cited by 590

Genomic analyses identify hundreds of variants associated with age at menarche and support a role for puberty timing in cancer risk

Study, T. L. C., Day, F. R., The InterAct Consortium, kConFab/AOCS Investigators, Endometrial Cancer Association Consortium, Ovarian Cancer Association Consortium, PRACTICAL consortium, Thompson, D. J., Helgason, H., Chasman, D. I., et al. (2017) · Nature Genetics

Hypothalamic control of reproductive hormonesGenetic Associations and Epidemiology

Cited by 587

Somatic mutations in ATP1A1 and ATP2B3 lead to aldosterone-producing adenomas and secondary hypertension

Beuschlein, F., Boulkroun, S., Osswald, A., Wieland, T., Nielsen, H. N., Lichtenauer, U. D., Penton, D., Schack, V. R., Amar, L., Fischer, E., et al. (2013) · Nature Genetics

Hormonal Regulation and HypertensionAdrenal and Paraganglionic Tumors

Cited by 577

Loss-of-function mutations in SLC30A8 protect against type 2 diabetes

Go-T2D Consortium, Flannick, J., T2D-GENES Consortium, Thorleifsson, G., Beer, N. L., Jacobs, S. B. R., Grarup, N., Burtt, N. P., Mahajan, A., Fuchsberger, C., et al. (2014) · Nature Genetics

Genetic Associations and EpidemiologyDiabetes and associated disorders

Cited by 492

Genome-wide meta-analyses of multiancestry cohorts identify multiple new susceptibility loci for refractive error and myopia

Consortium for Refractive Error and Myopia (CREAM), Verhoeven, V. J. M., The Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) Research Group, Wellcome Trust Case Control Consortium 2 (WTCCC2), The Fuchs' Genetics Multi-Center Study Group, Hysi, P. G., Wojciechowski, R., Fan, Q., Guggenheim, J. A., Höhn, R., et al. (2013) · Nature Genetics

Ophthalmology and Visual Impairment StudiesGenetic Associations and Epidemiology

Cited by 487

Common variants in KCNN3 are associated with lone atrial fibrillation

Ellinor, P. T., Lunetta, K. L., Glazer, N. L., Pfeufer, A., Alonso, A., Chung, M. K., Sinner, M. F., de Bakker, P. I. W., Mueller, M., Lubitz, S. A., et al. (2010) · Nature Genetics

Cardiac electrophysiology and arrhythmiasAtrial Fibrillation Management and Outcomes

Cited by 485

New susceptibility locus for coronary artery disease on chromosome 3q22.3

Italian Atherosclerosis, T., Erdmann, J., Myocardial Infarction Genetics Consortium, Wellcome Trust Case Control Consortium, Cardiogenics Consortium, Großhennig, A., Braund, P. S., König, I. R., Hengstenberg, C., Hall, A. S., et al. (2009) · Nature Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

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

Constitutive activation of PKA catalytic subunit in adrenal Cushing’s syndrome

Beuschlein, F., Fassnacht, M., Assié, G., Calebiro, D., Stratakis, C. A., Osswald, A., Ronchi, C. L., Wieland, T., Sbiera, S., Faucz, F. R., et al. (2014) · New England Journal of Medicine

Adrenal and Paraganglionic TumorsAdrenal Hormones and Disorders

Cited by 443

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

Genome-wide meta-analysis identifies new susceptibility loci for migraine

North American Brain Expression Consortium, Anttila, V., UK Brain Expression Consortium, the International Headache Genetics Consortium, Winsvold, B. S., Gormley, P., Kurth, T., Bettella, F., McMahon, G., Kallela, M., et al. (2013) · Nature Genetics

Migraine and Headache StudiesGenetic Associations and Epidemiology

Cited by 410

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

Variants in ZFHX3 are associated with atrial fibrillation in individuals of European ancestry

Benjamin, E. J., Rice, K. M., Arking, D. E., Pfeufer, A., van Noord, C., Smith, A. V., Schnabel, R. B., Bis, J. C., Boerwinkle, E., Sinner, M. F., et al. (2009) · Nature Genetics

Atrial Fibrillation Management and OutcomesGenetic Associations and Epidemiology

Cited by 390

Exome Sequencing Reveals De Novo WDR45 Mutations Causing a Phenotypically Distinct, X-Linked Dominant Form of NBIA

Haack, T. B., Hogarth, P., Kruer, M. C., Gregory, A., Wieland, T., Schwarzmayr, T., Graf, E., Sanford, L., Meyer, E., Kara, E., et al. (2012) · The American Journal of Human Genetics

Neurological diseases and metabolismIron Metabolism and Disorders

Cited by 360

Genetic evidence of assortative mating in humans

Robinson, M. R., Kleinman, A., Graff, M., Vinkhuyzen, A. A. E., Couper, D., Miller, M. B., Peyrot, W. J., Abdellaoui, A., Zietsch, B. P., Nolte, I. M., et al. (2017) · Nature Human Behaviour

Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestock

Cited by 326

Effect of predicted protein-truncating genetic variants on the human transcriptome

Rivas, M. A., Pirinen, M., Conrad, D. F., Lek, M., Tsang, E. K., Karczewski, K. J., Maller, J. B., Kukurba, K. R., DeLuca, D. S., Fromer, M., et al. (2015) · Science

Genomics and Rare DiseasesRNA Research and Splicing

Cited by 313

Exome sequencing of 20,791 cases of type 2 diabetes and 24,440 controls

Platform, B. G., Flannick, J., DiscovEHR Collaboration, CHARGE, LuCamp, ProDiGY, GoT2D, ESP, SIGMA-T2D, T2D-GENES, et al. (2019) · Nature

Genetic Associations and EpidemiologyGenomics and Rare Diseases

Cited by 304