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Transcriptomic networks implicate neuronal energetic abnormalities in three mouse models harboring autism and schizophrenia-associated mutations

Aaron Gordon, Annika Grønborg-Forsingdal, Ib Vestergaard Klewe, Jacob Nielsen, Michael Didriksen, Thomas Werge, Daniel Geschwind
doi: https://doi.org/10.1101/625368
Aaron Gordon
1Department of Neurology, University of California Los Angeles, Los Angeles, CA
PhD
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Annika Grønborg-Forsingdal
2Division of Synaptic Transmission, H. Lundbeck A/S, Valby, Denmark
3Institute of Biological Psychiatry, Mental Health Services Capital Region of Denmark, Copenhagen, Denmark
PhD
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Ib Vestergaard Klewe
2Division of Synaptic Transmission, H. Lundbeck A/S, Valby, Denmark
PhD
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Jacob Nielsen
PhD
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Michael Didriksen
PhD
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Thomas Werge
4Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Copenhagen, Denmark
5Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
6Lundbeck Foundation GeoGenetics Centre, Natural History Museum of Denmark, University of Copenhagen, 1350 Copenhagen, Denmark
PhD
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Daniel Geschwind
7Program in Neurobehavioral Genetics, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, CA
8Department of Neurology, Center for Autism Research and Treatment, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, CA
9Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA
MD PhD
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  • For correspondence: dhg@mednet.ucla.edu
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Posted May 02, 2019.
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Transcriptomic networks implicate neuronal energetic abnormalities in three mouse models harboring autism and schizophrenia-associated mutations
Aaron Gordon, Annika Grønborg-Forsingdal, Ib Vestergaard Klewe, Jacob Nielsen, Michael Didriksen, Thomas Werge, Daniel Geschwind
bioRxiv 625368; doi: https://doi.org/10.1101/625368
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Transcriptomic networks implicate neuronal energetic abnormalities in three mouse models harboring autism and schizophrenia-associated mutations
Aaron Gordon, Annika Grønborg-Forsingdal, Ib Vestergaard Klewe, Jacob Nielsen, Michael Didriksen, Thomas Werge, Daniel Geschwind
bioRxiv 625368; doi: https://doi.org/10.1101/625368

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