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Parents

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Alexander Gordon Bearn post-doc 1965-1967 Rockefeller (GenetiTree)

Children

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Ari Helenius grad student Univ. Helsinki (Cell Biology Tree)
Robin Klemm grad student MPI Dresden (Cell Biology Tree)
Peter Scheiffele grad student University of Basel
Erdinc Sezgin grad student (Chemistry Tree)
Peter Uetz grad student 1997 Universität Heidelberg (Chemistry Tree)
Arnd Pralle grad student 1995-1999 European Molecular Biology Laboratory (EMBL) - Heidelberg
Ilya Levental post-doc (Chemistry Tree)
Paul Dupree post-doc 1991-1993 (Computational Biology Tree)
James Peter Saenz post-doc 2011-2017 MPI-CBG, Dresden
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Publications

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Slieker RC, Donnelly LA, Fitipaldi H, et al. (2021) Distinct Molecular Signatures of Clinical Clusters in People with Type 2 Diabetes: an IMIRHAPSODY Study. Diabetes
Wigger L, Barovic M, Brunner AD, et al. (2021) Multi-omics profiling of living human pancreatic islet donors reveals heterogeneous beta cell trajectories towards type 2 diabetes. Nature Metabolism
Slieker RC, Donnelly LA, Fitipaldi H, et al. (2021) Replication and cross-validation of type 2 diabetes subtypes based on clinical variables: an IMI-RHAPSODY study. Diabetologia
Tam FI, Gerl MJ, Klose C, et al. (2021) Adverse Effects of Refeeding on the Plasma Lipidome in Young Individuals With Anorexia Nervosa? Journal of the American Academy of Child and Adolescent Psychiatry
Ottosson F, Khoonsari PE, Gerl MJ, et al. (2021) A plasma lipid signature predicts incident coronary artery disease. International Journal of Cardiology
Fernandez C, Surma MA, Klose C, et al. (2019) Plasma Lipidome and Prediction of Type 2 Diabetes in the Population-Based Malmö Diet and Cancer Cohort. Diabetes Care
Kessler K, Gerl MJ, Hornemann S, et al. (2019) Shotgun lipidomics discovered diurnal regulation of lipid metabolism linked to insulin sensitivity in non-diabetic men. The Journal of Clinical Endocrinology and Metabolism
Kammer M, Heinzel A, Willency JA, et al. (2019) Integrative analysis of prognostic biomarkers derived from multiomics panels helps discrimination of chronic kidney disease trajectories in people with type 2 diabetes. Kidney International
Gerl MJ, Klose C, Surma MA, et al. (2019) Machine learning of human plasma lipidomes for obesity estimation in a large population cohort. Plos Biology. 17: e3000443
Tabassum R, Rämö JT, Ripatti P, et al. (2019) Genetic architecture of human plasma lipidome and its link to cardiovascular disease. Nature Communications. 10: 4329
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