Awards from NIH www.nih.gov are going to support research incorporating DNA Sequence information into EMRs. The awards will help researchers work with the “Electronic Medical Records and Genomics (eMERGE) Network www.genome.gov/27540473 to better understand the genomic basis of disease by combining DNA biorepositories with EMRs to improve genetic research.
The grants to the eMERGE program are administered by the National Human Genome Research Institute (NHGRI) www.genome.gov. These new grants are included in the third phase of the eMERGE program where the focus is on moving genomics research closer to clinical applications.
The following research groups have been awarded grants pending available funds:
- Group Health Research Institute University of Washington $3,385,338—To study inherited forms of colorectal cancer, high triglycerides, and high neutrophil count
- Brigham and Women’s Hospital, Boston $3,832,097—To study rare and common variants found in the protein-coding regions of individuals’ genomes associated with cardiovascular, neuropsychiatric and immune-medicated conditions described in EMRs
- Vanderbilt University School of Medicine $3,353,476—To study 100 genes in the genomes to identify rare variants associated with human health and drug responses
- Cincinnati Children’s Hospital Medical Center, $3,421,156—To study genes to help identify the causes of many diseases listed in EHRs. Perform genome-wide testing to look at the role of variants in a number of medical conditions
- Mayo Clinic $3,435.970—To study the underlying genetics of familial hypercholesterolemia and familial colorectal cancer
- Columbia University $3,436,628—To study genetic variants that contribute to an increased risk for CKD, heart failure, breast cancer, liver disease, autoimmune disease, stroke, birth defects and neurodevelopmental disorders
- Children’s Hospital of Philadelphia $3,625,184—To study the genetic causes of autism, intellectual disability, ADHD, epilepsy, and obesity
- Northwestern University $3,306,716—To study the association between rare variants and more common variants that eMERGE network researchers have collected from previous studies