Geisinger Health System (GHS) is an integrated, comprehensive health care delivery system that serves a large, stable, mainly rural population in north central and northeastern Pennsylvania. Geisinger has a fully functional and integrated electronic medical record (EMR) system, and is a recognized leader in the use of EMR and health information technology. GHS has received national accolades for its commitment to developing and testing information technology-enabled innovations in health care delivery. Geisinger's infrastructure and experience in this area provide a paradigm for incorporating genomic data into clinical care. To leverage the health system's assets for genomic medicine Geisinger launched an innovative biobanking program, the MyCode project that is creating a large, central repository of patient samples (blood, DNA, serum and tissue) that are linkable to data in the Geisinger EMR for broad research use in a manner that protects confidentiality of patient information. More than 30,000 Geisinger patients have consented to participate in the biobanking program. The EMR-linked biospecimen bank is being used for genomic research in cardiovascular disease, obesity, cancer, and other disorders with significant public health impact. Through this application GHS is seeking inclusion in the eMERGE Phase II.
The specific aims of this Geisinger eGenomic Medicine (GeM) program are to: 1) use existing biospecimens and EMR- generated phenotypes (ePhenotypes) to identify genetic variants associated with increased disease risk or altered treatment response;proposed new ePhenotypes are extreme obesity and related conditions, abdominal aortic aneurysm, and weight gain induced by anti-psychotic drugs;2) develop and test approaches to provide clinically relevant genetic research results to patients and clinical providers;and 3) study sociocultural concerns of patients residing in rural areas regarding Genomic Medicine research. Participation in eMERGE Phase II will substantially accelerate Geisinger's goal of using its integrated health care system, stable patient population, and advanced EMR capabilities to drive Personalized Health Care.

Public Health Relevance

The integration of genomic data into clinical practice is a necessary step in the adoption of Personalized Medicine;electronic medical record data have enormous potential to accelerate this process. Geisinger has a unique combination of resources and experience that make it an ideal setting for both the discovery and application phases of genomic medicine research and integration of genomic data into clinical care.

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Research Project--Cooperative Agreements (U01)
Project #
3U01HG006382-02S2
Application #
8518008
Study Section
Special Emphasis Panel (ZHG1-HGR-N (M1))
Program Officer
Li, Rongling
Project Start
2011-08-15
Project End
2015-07-31
Budget Start
2012-08-01
Budget End
2013-07-31
Support Year
2
Fiscal Year
2012
Total Cost
$119,730
Indirect Cost
Name
Geisinger Clinic
Department
Type
DUNS #
079161360
City
Danville
State
PA
Country
United States
Zip Code
17822
Peissig, Peggy; Schwei, Kelsey M; Kadolph, Christopher et al. (2017) Prototype Development: Context-Driven Dynamic XML Ophthalmologic Data Capture Application. JMIR Med Inform 5:e27
Rasmussen-Torvik, Laura J; Almoguera, Berta; Doheny, Kimberly F et al. (2017) Concordance between Research Sequencing and Clinical Pharmacogenetic Genotyping in the eMERGE-PGx Study. J Mol Diagn 19:561-566
Sanderson, Saskia C; Brothers, Kyle B; Mercaldo, Nathaniel D et al. (2017) Public Attitudes toward Consent and Data Sharing in Biobank Research: A Large Multi-site Experimental Survey in the US. Am J Hum Genet 100:414-427
Nadkarni, Girish N; Galarneau, Geneviève; Ellis, Stephen B et al. (2017) Apolipoprotein L1 Variants and Blood Pressure Traits in African Americans. J Am Coll Cardiol 69:1564-1574
Jones, Gregory T; Tromp, Gerard; Kuivaniemi, Helena et al. (2017) Meta-Analysis of Genome-Wide Association Studies for Abdominal Aortic Aneurysm Identifies Four New Disease-Specific Risk Loci. Circ Res 120:341-353
Telomeres Mendelian Randomization Collaboration; Haycock, Philip C; Burgess, Stephen et al. (2017) Association Between Telomere Length and Risk of Cancer and Non-Neoplastic Diseases: A Mendelian Randomization Study. JAMA Oncol 3:636-651
Holzinger, Emily R; Verma, Shefali S; Moore, Carrie B et al. (2017) Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals. BioData Min 10:25
Cutting, Elizabeth; Banchero, Meghan; Beitelshees, Amber L et al. (2016) User-centered design of multi-gene sequencing panel reports for clinicians. J Biomed Inform 63:1-10
Rasmussen, Luke V; Overby, Casey L; Connolly, John et al. (2016) Practical considerations for implementing genomic information resources. Experiences from eMERGE and CSER. Appl Clin Inform 7:870-82
Zhang, Jinglan; Fedick, Anastasia; Wasserman, Stephanie et al. (2016) Analytical Validation of a Personalized Medicine APOL1 Genotyping Assay for Nondiabetic Chronic Kidney Disease Risk Assessment. J Mol Diagn 18:260-6

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