FTO Obesity Variant Circuitry and Adipocyte Browning in Humans

Background Genomewide association studies can be used to identify disease-relevant genomic regions, but interpretation of the data is challenging. The FTO region harbors the strongest genetic association with obesity, yet the mechanistic basis of this association remains elusive. Methods We examined...

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Bibliographic Details
Main Authors: Claussnitzer, Melina (Contributor), Dankel, Simon N. (Author), Kim, Kyoung-Han (Author), Quon, Gerald (Contributor), Meuleman, Wouter (Contributor), Haugen, Christine (Author), Glunk, Viktoria (Author), Sousa, Isabel S. (Author), Beaudry, Jacqueline L. (Author), Puviindran, Vijitha (Author), Liu, Jannel (Author), Svensson, Per-Arne (Author), Hsu, Yi-Hsiang (Author), Drucker, Daniel J. (Author), Mellgren, Gunnar (Author), Hui, Chi-Chung (Author), Hauner, Hans (Author), Kellis, Manolis (Contributor), Abdennur, Nezar Alexander (Contributor)
Other Authors: Massachusetts Institute of Technology. Computational and Systems Biology Program (Contributor), Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: New England Journal of Medicine, 2016-04-19T18:56:15Z.
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