EMERGE
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Studies combine genetic testing, electronic health records to find undiagnosed diseases
Combining genetic testing with information from electronic health records revealed undiagnosed heart rhythm disorders and new conditions associated with inherited cancer gene mutations. Read MoreApr 28, 2022
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Probing statin-associated diseases with genetics
Vanderbilt researchers used genetics tools and biobanks with linked electronic health records to explore the associations between statins and noncardiovascular diseases. Read MoreJul 12, 2021
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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. Read MoreJul 1, 2020
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Getting the goods on obesity
Obesity and two post-operative complications linked with it have associated genetic variants in common, suggesting that obesity may be the culprit. Read MoreNov 19, 2019
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Grants spur effort to add genetic data to EMR
Vanderbilt University researchers have received two major federal grants — totaling $7.6 million over four years — to support groundbreaking research aimed at making genetic information a routine part of patients’ electronic medical records. Read MoreSep 10, 2015
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First-ever study uses EMRs to spot new disease associations
Vanderbilt University Medical Center researchers and co-authors from four other U.S. institutions from the Electronic Medical Records and Genomics (eMERGE) Network are repurposing genetic data and electronic medical records to perform the first large-scale phenome-wide association study (PheWAS), released today in Nature Biotechnology. Read MoreDec 5, 2013
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Study applies random genotype sets to new disease
A new study in the American Journal of Human Genetics, led by Vanderbilt researchers Josh Denny, M.D., M.S., and Dana Crawford, Ph.D., takes random volumes of human genotypes and matches them with data siphoned from de-identified medical records and sheds new light on the genetic basis of the common… Read MoreJan 5, 2012