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Genomic medicine at Northwestern: discovery and implementation
Investigator (PI): Chisholm, Rex L; Smith, Maureen E
Performing Organization (PO): (Current): Northwestern University, Feinberg School of Medicine, Center for Genetic Medicine / (312) 503-5600
Supporting Agency (SA): National Institutes of Health (NIH), National Human Genome Research Institute (NHGRI)
Initial Year: 2015
Final Year: 2020
Record Source/Award ID: RePorter/U01HG008673
Funding: 2015 Award Amount: $826,679
2016 Award Amount: $888,733
2017 Award Amount: $909,754
2018 Award Amount: $826,679
2019 Award Amount: $618,330
Award Type: Grant
Award Information: Reports resulting from this project
Abstract: National Human Genome Research Institute's vision for genomic medicine includes elements of both discovery and implementation. This vision seeks to improve the practice of medicine through the appropriate integration of genomic information into clinical care while continuing to better understand fundamentals of genomic variation, genome structure and the role of genetic variation in disease and therapeutic outcomes. The eMERGE network has made critical contributions to discovery by developing methods for high throughput electronic phenotyping using information captured in electronic health records (EHRs) in the course of clinical care and identifying new associations between diseases and quantitative traits with common genetic variants through genome-wide associations studies. eMERGE has also provided leadership in implementing genomic medicine by developing interfaces with EHR, clinical decision support, strategies for holding genomic variant information and transferring clinically relevant variants into the EHR, and returning genomic variant information to physicians and patients, both for disease susceptibility and for improving therapeutic management, particularly with prescription and dosing of medications. In addition, development and dissemination of best practices for implementation has been an important goal of eMERGE. As a participant in both eMERGE I and II, Northwestern (NU) through its EHR-linked biobank NUgene, has made significant contributions to all of these activities, with several NU investigators playing key leadership roles. In this application, we propose to leverage the infrastructure and expertise at NU to (a) discover associations between rare variants in at least 100 sequenced genes and common variants from the eMERGE GWAS dataset from phenotypes derived from EHR data mining; (b) enroll 2000 patients into the study who agree to receive genomic information and allow the information to be stored in their EHR; (c) return clinically actionable results to health care providers and patients to determine utility and clinical outcomes; and (d) develop and share best practices related to returning genomic results, educating physicians and patients, and the related ethical, legal, and social implications. Successfully achieving these goals will provide new scientific knowledge and significant real-world experience that will advance the NHGRI vision for both discovery and implementation across the spectrum of its strategic vision.
MeSH Terms:
  • Data Mining /methods
  • Decision Support Systems, Clinical
  • Electronic Health Records
  • Genetic Predisposition to Disease
  • Genetic Variation
  • Genome, Human
  • Genome-Wide Association Study
  • * Genomics
  • Humans
  • Illinois
  • Leadership
  • National Human Genome Research Institute (U.S.)
  • Physicians
  • Program Development
  • Treatment Outcome
  • United States
  • Universities
Keywords:
  • biobank
  • clinical
  • clinically actionable
  • data mining
  • disease
  • disease susceptibility
  • education
  • electronic health record
  • ethics
  • genes
  • genetic variant
  • genetic variation
  • genome
  • genome-wide association study
  • genomic data
  • genomic medicine
  • genomic variation
  • genomics
  • genotype
  • legal implication
  • outcome
  • patient care
  • patients
  • phenotype
  • physicians
  • rare variant
  • sequence analysis
  • social implication
Country: United States
State: Illinois
Zip Code: 60611
UI: 20181416
Project Status: Completed
Record History: ('2019: Project extended to 2020.',)