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| eMERGE phase IV clinical center at Partners HealthCare | |
|---|---|
| Investigator (PI): | Karlson, Elizabeth W; Murphy, Shawn N; Smoller, Jordan W; Weiss, Scott T |
| Performing Organization (PO): |
(Current): Brigham and Women's Hospital, Department of Medicine, Channing Division of Network Medicine / (617) 525-2270 |
| Supporting Agency (SA): | National Institutes of Health (NIH), National Human Genome Research Institute (NHGRI) |
| Initial Year: | 2015 |
| Final Year: | 2025 |
| Record Source/Award ID: | RePorter/U01HG008685 |
| Funding: | 2015 Award Amount: $972,425 2016 Award Amount: $953,224 2017 Award Amount: $1,016,160 2018 Award Amount: $953,224 2019 Award Amount: $800,708 2020 Award Amount: $1,216,161 |
| Award Type: | Grant |
| Award Information: | Reports resulting from this project |
| Abstract: | To enable the application of PRS development and implementation, our eMERGE IV proposal from Partners HealthCare leverages a large biobank (>105,000 consented with genotype data on 40,000), clinical data in the electronic health records (EHR) for >4 million patients from the largest integrated health care provider in New England, advanced bioinformatics expertise, prior leadership in PRS development and state- of-the-art genetic analysis, established expertise in returning genomics results, and experience using information technology to transform clinical processes and assessing outcomes. We propose to build on our expertise to accomplish the specific aims: Aim 1 (Discovery): Hypothesis: Polygenic risks scores will allow us to stratify eMERGE subjects based on genetic risk for common complex traits. Using the largest available genomic data resources, we will calculate and validate new PRS for coronary artery disease, atrial fibrillation, type 2 diabetes, colorectal cancer and major depression across diverse ancestries. We will 1) compare and benchmark the performance of existing PRS construction methods in different ancestral groups, 2) develop novel statistical methods for robust trans-ethnic PRS prediction, and integrate PRS with established clinical risk factors and family history. We will obtain PRS from our network colleagues for an additional 15-e- phenotypes (total 20) with a goal of identifying high-risk individuals, e.g., top 2% of PRS risk Aim 2 (RiskInsight Report/ELSI): We will develop a “Risk Insight Report” with clinical risk factors, family history, and PRS with evidence-based recommendations for high risk participants (top 2% of phenotype specific PRS distribution) for electronic clinical implementation. We will assess risk communication formats in our ELSI Sub-Aim 1: To test the impact and interpretability of two mock RiskInsight Reports summarizing PRS as either (a) dichotomous (defining the patient as high-risk vs intermediate/low risk) or (b) quantitative (providing a numerical estimate of the percentile of risk for the patient), with linked clinical recommendations in both cases. We will then assess, through surveys of diverse HCPs and patients, the extent to which the mock reports are understood by both HCPs and patients. Aim 3 (Outcomes): Hypothesis: Physicians will alter their surveillance and treatment of patients based on eCDS of RiskInsight Reports. Among HCPs for high-risk subjects, we will see at least one change in clinical care after disclosure discussions with subjects. We will recruit 2500 participants for implementation of clinical PRS in RiskInsight Reports using a SMART on FHIR app for eCDS integrated with the EHR. The primary outcome will be whether any HCP took any action within 12 months after receipt of e-CDS defined by ordering screening tests, prescribing a preventive medication, or providing lifestyle advice. We will conduct analyses of the effect of disclosing results to high risk participants to determine how personalized results changed patient outcomes in laboratory values, risk reduction behaviors, or health care utilization. |
| Abstract Archived: |
The eMERGE III Clinical Center proposal from Partners HealthCare leverages a large biobank, clinical data in the electronic medical records (EMR) for >4 million participants from the largest integrated health care provider in New England, advanced bioinformatics expertise, and state-of-the-art genetic analysis. We propose three aims. (1) Aim 1. Discovery. We will test the hypothesis that common and rare variants from a custom chip including 50,000 loss of function (LoF) alleles will be associated with cardiovascular, neuropsychiatric, and immune-mediated phenotypes derived from the EMR. We are currently genotyping 25,000 Partners HealthCare Biobank subjects with a custom chip that includes LoF alleles from 63,000 exomes that we have analyzed. (2) Aim 2. Penetrance and Pleiotropy. We will test the hypothesis that sequencing a set of established genes or loci will allow us to discover additional variation, and define penetrance and pleiotropy using EMR phenotypes. Rare variants in genes selected by the eMERGE network will be studied for penetrance and pleiotropic outcomes by PheWAS and chart review. In addition, we are poised to perform recall-by-genotype studies because all Biobank participants have provided consent for such callback. (3) Aim 3. Implementation. We will test the hypothesis that physicians will alter their surveillance and treatment of patients based upon voluntary return of actionable variants to provide safe and cost-effective benefits to patients. We will screen our entire Biobank population of 25,000 individuals for pathogenic variants in the LDLR gene, the leading genetic cause of premature coronary artery disease, and conduct an exploratory trial in disclosing this information. Biobank participants with pathogenic variants in LDLR will be offered enrollment into a randomized trial, in which their finding will be CLIA-confirmed, and in one arm, this result will be communicated to their physicians through the EMR. Over one year, we will collect the following outcomes through participant surveys and EMR queries: physician visits, laboratory testing, changes in medication prescriptions, LDL levels, medical costs, and the number of family members screened and treated as a result of the intervention. We will collaborate with the entire eMERGE III Network to incorporate what we learn from this pilot trial into large-scale implementation protocols for the genes selected by the Network for sequencing. Finally, we will participate in all Network activities to enhance the movement of genetics into clinical practice. |
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| Country: | United States |
| State: | Massachusetts |
| Zip Code: | 02115 |
| UI: | 20181424 |
| Project Status: | Ongoing |
| Related Records: |
Finding genomic profiles of COVID-19 phenotypes from the electronic health record (EHR) (supplement to U01HG008685) eMERGE Phase IV Clinical Center at Partners HealthCare (COVID supplement to U01HG008685) |
| Record History: | ('2020: Project extended to 2025; Abstract archived and replaced; Karlson becomes Primary PI. (Project title changed (Prior title: eMERGE phase III clinical center at Partners HealthCare). 2019: Project extended to 2020',) |