Genetics & Genomics Archive — Page 12 of 16
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September 17, 2020
Grant from Google to support COVID gene expression study
Vanderbilt University Medical Center and the University of North Carolina (UNC) at Chapel Hill have been awarded $500,000 by Google’s philanthropy, Google.org, to study how COVID-19 alters gene expression in some people in ways that may be linked to their risk of severe illness and death. -
September 10, 2020
Award supports integration of genomic data, electronic health records
Eric Gamazon, PhD, assistant professor of Medicine, has been awarded a $1.5 million grant from the National Human Genome Research Institute, part of the National Institutes of Health (NIH), to develop novel computational tools that integrate functional genomic data and electronic health records. -
September 7, 2020
Possible key to COVID-19 infectivity
New findings demonstrate how genetic variations in the receptor that binds SARS-CoV-2 impact virus recognition and infectivity and offer insights to COVID-19 susceptibility and treatment. -
August 10, 2020
A step toward cancer prevention
A computational technique that combines the effect of multiple genomic variants has the potential to identify high-risk individuals for cancer prevention. -
July 1, 2020
VUMC-led network to focus on polygenic risk for common diseases
With the aid of a $75 million, five-year grant renewal, the Electronic Medical Records and Genomics Network (eMERGE) will venture beyond its current focus on monogenic disease to scoring research participants’ relative risk for complex heritable diseases such as cardiovascular disease, chronic kidney disease and type 2 diabetes. -
June 12, 2020
Robotic technology speeds arrhythmia gene classification
Vanderbilt University Medical Center investigators have used high-throughput robotic technology to rapidly study and classify variations in a gene linked to heart rhythm disorders and cardiac conditions. -
April 30, 2020
EHRs, biobanks and Mendelian diseases
Electronic health records and biobanks can be effectively combined to detect and study Mendelian diseases such as cystic fibrosis.