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TIGAR-V2: Efficient TWAS Tool with Nonparametric Bayesian eQTL Weights of 49 Tissue Types from GTEx V8

Randy L. Parrish, View ORCID ProfileGreg C. Gibson, Michael P. Epstein, View ORCID ProfileJingjing Yang
doi: https://doi.org/10.1101/2021.07.16.452700
Randy L. Parrish
1Center for Computational and Quantitative Genetics, Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, 30322, USA
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Greg C. Gibson
2School of Biology, Georgia Institute of Technology, Atlanta, GA, 30332, USA
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Michael P. Epstein
1Center for Computational and Quantitative Genetics, Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, 30322, USA
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Jingjing Yang
1Center for Computational and Quantitative Genetics, Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, 30322, USA
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  • ORCID record for Jingjing Yang
  • For correspondence: jingjing.yang@emory.edu
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Posted October 27, 2021.
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TIGAR-V2: Efficient TWAS Tool with Nonparametric Bayesian eQTL Weights of 49 Tissue Types from GTEx V8
Randy L. Parrish, Greg C. Gibson, Michael P. Epstein, Jingjing Yang
bioRxiv 2021.07.16.452700; doi: https://doi.org/10.1101/2021.07.16.452700
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TIGAR-V2: Efficient TWAS Tool with Nonparametric Bayesian eQTL Weights of 49 Tissue Types from GTEx V8
Randy L. Parrish, Greg C. Gibson, Michael P. Epstein, Jingjing Yang
bioRxiv 2021.07.16.452700; doi: https://doi.org/10.1101/2021.07.16.452700

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