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Integration of rare expression outlier-associated variants improves polygenic risk prediction

Submitting Author
Smail, Craig
Submitting Author's Email
csmail@stanford.edu
Authors
Craig Smail, Nicole M. Ferraro, Matthew G. Durrant, Abhiram S. Rao, Matthew Aguirre, Xin Li, Michael J. Gloudemans, Themistocles L. Assimes, Charles Kooperberg, Alexander P. Reiner, Qin Hui, Jie Huang, Christopher J. O'Donnell, Yan V. Sun, Million Veteran Program, Manuel A. Rivas, Stephen B. Montgomery
Journal name for most current submission
Am J Hum Genet
Associated TOPMed paper proposal
Improved risk prediction of complex traits using rare, large-effect expression variants
This manuscript has been approved by the original paper proposal's Working Group(s) or is "single PI"
This manuscript has been approved by the original paper proposal's Working Group(s) or is "single PI"
Acknowledgments
I have followed instructions for TOPMed Acknowledgments
I've received approval for all data sets used in this manuscript, including adding new data sets and canceling all unused ones.
I've received approval for all data sets used in this manuscript, including adding new data sets and canceling all unused ones.
I have followed the Data Use Limitations for each of the data sets used in this manuscript, if applicable.
Yes
I've included at least 1 co-author from each study used in analysis or the PI declined an offer to have their study represented.
Yes
I certify that all co-authors have reviewed and approved the manuscript for submission.
Yes
I've included at least 1 DCC/ACC author, or they declined authorship or deemed acknowledgement sufficient.
I have not
I’ve included at least 1 IRC author, or they declined authorship or deemed acknowledgement sufficient.
I have not
I've included at least 1 author from relevant omics center(s) or they declined authorship or deemed acknowledgement sufficient.
I have not

TOPMed data used in this manuscript

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Parent Study: Consent Group Review Status
WHI:HMB-IRB Approved