Leveraging Electronic Health Records for Phenotyping - Translational Informatics: Realizing the Promise of Knowledge-Driven Healthcare - page 70

34. McCarty CA, Chisholm RL, Chute CG, Kullo IJ, Jarvik GP, Larson EB, et al. The eMERGE
Network: a consortium of biorepositories linked to electronic medical records data for con-
ducting genomic studies. BMC Med Genomics. 2011;4:13.
35. Newton KM, Peissig PL, Kho AN, Bielinski SJ, Berg RL, Choudhary V, et al. Validation of
electronic medical record-based phenotyping algorithms: results and lessons learned from the
eMERGE network. J Am Med Inform Assoc. 2013;20(e1):e147-54.
36. Loukides G, Denny JC, Malin B. The disclosure of diagnosis codes can breach research par-
ticipants' privacy. J Am Med Inform Assoc. 2010;17(3):322-7.
37. Loukides G, Gkoulalas-Divanis A, Malin B. Anonymization of electronic medical records
for validating genome-wide association studies. Proc Natl Acad Sci U S A. 2010;107(17):
7898-903.
38. McGuire AL, Basford M, Dressler LG, Fullerton SM, Koenig BA, Li R, et al. Ethical and
practical challenges of sharing data from genome-wide association studies: the eMERGE
Consortium experience. Genome Res. 2011;21(7):1001-7.
39. Kohane IS, Churchill SE, Murphy SN. A translational engine at the national scale: informatics
for integrating biology and the bedside. J Am Med Inform Assoc. 2012;19(2):181-5.
40. Kahn MG, Batson D, Schilling LM. Data model considerations for clinical effectiveness
researchers. Med Care. 2012;50(Suppl):S60-7.
41. Nichols GA, Desai J, Elston Lafata J, Lawrence JM, O'Connor PJ, Pathak RD, et al.
Construction of a multisite DataLink using electronic health records for the identifi cation,
surveillance, prevention, and management of diabetes mellitus: the SUPREME-DM project.
Prev Chronic Dis. 2012;9:E110.
42. Wilcox A, Yoon S, Boden-Albala B, Bigger JT, Feldman PH, Weng C, et al. Developing a
framework for sustaining multi-institutional interdisciplinary community participatory com-
parative effectiveness research. AMIA 2013 Joint Summits on Translational Science. San
Francisco; 2013.
43. Sittig DF, Hazlehurst BL, Brown J, Murphy S, Rosenman M, Tarczy-Hornoch P, et al. A
survey of informatics platforms that enable distributed comparative effectiveness research
using multi-institutional heterogenous clinical data. Med Care. 2012;50(Suppl):S49-59.
44. Wilcox AB, Gallagher KD, Boden-Albala B, Bakken SR. Research data collection methods:
from paper to tablet computers. Med Care. 2012;50(Suppl):S68-73.
45. Brown JS, Kahn M, Toh S. Data quality assessment for comparative effectiveness research in
distributed data networks. Med Care. 2013;51(8 Suppl 3):S22-9.
46. Blumenthal D, Tavenner M. The “meaningful use” regulation for electronic health records.
N Engl J Med. 2010;363(6):501-4.
Additional Reading
Bush WS, Moore JH. Chapter 11: Genome-wide association studies. PLoS Comput Biol.
2012;8(12):e1002822. doi: 10.1371/journal.pcbi.1002822 .
Denny JC. Chapter 13: Mining electronic health records in the genomics era. PLoS Comput Biol.
2012;8(12).
Gottesman O, et al. The Electronic Medical Records and Genomics (eMERGE) network: past,
present, and future. Genet Med. 2013;15(10):761-7.
Sox HC, Sheldon G. Chapter 2: What is comparative effectiveness research. In: IOM (Institute of
Medicine), editor. Initial national priorities for comparative effectiveness research. Washington,
DC: The National Academies Press; 2009.