Gene expression imputation across multiple brain regions provides insights into schizophrenia risk
This study uses gene expression predictors for the dorsolateral prefrontal cortex and other brain regions to perform a transcriptomic imputation analysis of schizophrenia, identifying 413 genic associations across 13 brain regions and 36 significantly enriched pathways.
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| Main Authors: | , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
[April 2019]
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| In: |
Nature genetics
Year: 2019, Volume: 51, Issue: 4, Pages: 659-674 |
| ISSN: | 1546-1718 |
| DOI: | 10.1038/s41588-019-0364-4 |
| Online Access: | Verlag, Volltext: https://doi.org/10.1038/s41588-019-0364-4 Verlag, Volltext: https://www.nature.com/articles/s41588-019-0364-4 
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| Author Notes: | Laura M. Huckins, Amanda Dobbyn, Douglas M. Ruderfer, Gabriel Hoffman, Weiqing Wang, Antonio F. Pardiñas, Veera M. Rajagopal, Thomas D. Als, Hoang T. Nguyen, Kiran Girdhar, James Boocock, Panos Roussos, Menachem Fromer, Robin Kramer, Enrico Domenici, Eric R. Gamazon, Shaun Purcell, CommonMind Consortium, The Schizophrenia Working Group of the Psychiatric Genomics Consortium, iPSYCH-GEMS Schizophrenia Working Group, Ditte Demontis, Anders D. Børglum, James T. R. Walters, Michael C. O’Donovan, Patrick Sullivan, Michael J. Owen, Bernie Devlin, Solveig K. Sieberts, Nancy J. Cox, Hae Kyung Im, Pamela Sklar and Eli A. Stahl |
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