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Integrating gene expression with summary association statistics to identify susceptibility genes for 30 complex traits

Nicholas Mancuso, Huwenbo Shi, Pagé Goddard, Gleb Kichaev, Alexander Gusev, Bogdan Pasaniuc
doi: https://doi.org/10.1101/072967
Nicholas Mancuso
1Department of Pathology & Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
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Huwenbo Shi
2Bioinformatics Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, USA
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Pagé Goddard
3Department of Molecular, Cell and Developmental Biology, University of California, Los Angeles, Los Angeles, CA, USA
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Gleb Kichaev
2Bioinformatics Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, USA
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Alexander Gusev
4Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
5Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
6Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
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Bogdan Pasaniuc
1Department of Pathology & Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
2Bioinformatics Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, USA
7Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
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Article Information

doi 
https://doi.org/10.1101/072967
History 
  • September 1, 2016.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.

Author Information

  1. Nicholas Mancuso1,
  2. Huwenbo Shi2,
  3. Pagé Goddard3,
  4. Gleb Kichaev2,
  5. Alexander Gusev4,5,6* and
  6. Bogdan Pasaniuc1,2,7*
  1. 1Department of Pathology & Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
  2. 2Bioinformatics Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, USA
  3. 3Department of Molecular, Cell and Developmental Biology, University of California, Los Angeles, Los Angeles, CA, USA
  4. 4Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
  5. 5Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
  6. 6Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
  7. 7Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
  1. ↵* Indicates equal contribution

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Posted September 01, 2016.
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Integrating gene expression with summary association statistics to identify susceptibility genes for 30 complex traits
Nicholas Mancuso, Huwenbo Shi, Pagé Goddard, Gleb Kichaev, Alexander Gusev, Bogdan Pasaniuc
bioRxiv 072967; doi: https://doi.org/10.1101/072967
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Integrating gene expression with summary association statistics to identify susceptibility genes for 30 complex traits
Nicholas Mancuso, Huwenbo Shi, Pagé Goddard, Gleb Kichaev, Alexander Gusev, Bogdan Pasaniuc
bioRxiv 072967; doi: https://doi.org/10.1101/072967

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