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).

Public Health Relevance

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.

National Institute of Health (NIH)
National Human Genome Research Institute (NHGRI)
Specialized Center--Cooperative Agreements (U54)
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Special Emphasis Panel (ZRG1-BST-R (52))
Program Officer
Brooks, Lisa
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Harvard Medical School
United States
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Agniel, Denis; Kohane, Isaac S; Weber, Griffin M (2018) Biases in electronic health record data due to processes within the healthcare system: retrospective observational study. BMJ 361:k1479
Can, Anil; Castro, Victor M; Dligach, Dmitriy et al. (2018) Lipid-Lowering Agents and High HDL (High-Density Lipoprotein) Are Inversely Associated With Intracranial Aneurysm Rupture. Stroke 49:1148-1154
Boag, Willie; Doss, Dustin; Naumann, Tristan et al. (2018) What's in a Note? Unpacking Predictive Value in Clinical Note Representations. AMIA Jt Summits Transl Sci Proc 2017:26-34
Xia, Yin; Cai, Tianxi; Cai, T Tony (2018) Multiple Testing of Submatrices of a Precision Matrix with Applications to Identification of Between Pathway Interactions. J Am Stat Assoc 113:328-339
Brown, Adam S; Patel, Chirag J (2018) A review of validation strategies for computational drug repositioning. Brief Bioinform 19:174-177
Xia, Yin; Cai, Tianxi; Cai, T Tony (2018) Two-Sample Tests for High-Dimensional Linear Regression with an Application to Detecting Interactions. Stat Sin 28:63-92
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

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