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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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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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