Although, the Center Consortium Component of the BD2K initiative will not be fully delineated until after all awards are made, the Patient-centered Information Commons (PIC) Center plans to be fully engaged in all elements of this collective should we be selected to join. We have already been in conversation with several other applicants and understand that there are several proposals with overlapping and synergistic goals that would be highly desirable to collaborate on. Meaningful focus on toolkit development in the area of ontology loading/translation; GPU-accelerated algorithms, particularly those used in the imputation and linkage techniques described in our Aims 2 and 3; convenience functions relating to regulatory compliance and confidentiality; and data visualization would all be very synergistic with our proposal and provide a valuable resource to complement our efforts. We are pleased to be able to offer back to this community early access to testing of our toolkit, educational opportunities and products, and a cloud hosted PIC that will contain a large data set of synthetic patients for use with local and national PICs (this is made possible by an in kind contribution from industry).
Establishing a unifying Consortium Center is essential to insuring that the programmatic goals set forth for this initiative are translated to the membership and engender full cooperation by all members, both in terms of participation in governance and in actively engaging in research collaborations within the network. Active participation by the 'Patient-centered Information Commons' Center will be an important element of this plan.
| Kerpedjiev, Peter; Abdennur, Nezar; Lekschas, Fritz et al. (2018) HiGlass: web-based visual exploration and analysis of genome interaction maps. Genome Biol 19:125 |
| Kothari, Cartik; Wack, Maxime; Hassen-Khodja, Claire et al. (2018) Phelan-McDermid syndrome data network: Integrating patient reported outcomes with clinical notes and curated genetic reports. Am J Med Genet B Neuropsychiatr Genet 177:613-624 |
| Kartoun, Uri; Aggarwal, Rahul; Beam, Andrew L et al. (2018) Development of an Algorithm to Identify Patients with Physician-Documented Insomnia. Sci Rep 8:7862 |
| Diao, James A; Kohane, Isaac S; Manrai, Arjun K (2018) Biomedical informatics and machine learning for clinical genomics. Hum Mol Genet 27:R29-R34 |
| Hejblum, Boris P; Cui, Jing; Lahey, Lauren J et al. (2018) Association Between Anti-Citrullinated Fibrinogen Antibodies and Coronary Artery Disease in Rheumatoid Arthritis. Arthritis Care Res (Hoboken) 70:1113-1117 |
| Can, Anil; Castro, Victor M; Dligach, Dmitriy et al. (2018) Elevated International Normalized Ratio Is Associated With Ruptured Aneurysms. Stroke 49:2046-2052 |
| Yu, Sheng; Ma, Yumeng; Gronsbell, Jessica et al. (2018) Enabling phenotypic big data with PheNorm. J Am Med Inform Assoc 25:54-60 |
| Can, Anil; Rudy, Robert F; Castro, Victor M et al. (2018) Low Serum Calcium and Magnesium Levels and Rupture of Intracranial Aneurysms. Stroke 49:1747-1750 |
| Wilson, Ander; Zigler, Corwin M; Patel, Chirag J et al. (2018) Model-averaged confounder adjustment for estimating multivariate exposure effects with linear regression. Biometrics 74:1034-1044 |
| Gutiérrez-Sacristán, Alba; Guedj, Romain; Korodi, Gabor et al. (2018) Rcupcake: an R package for querying and analyzing biomedical data through the BD2K PIC-SURE RESTful API. Bioinformatics 34:1431-1432 |
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