To most effectively use electronic health records for research, investigators should query multiple components of the record to identify patients with specific diseases.
A person’s mitochondrial gene “signature” could predict risk for diabetic retinopathy and guide early intervention strategies.
A study of mitochondrial DNA mutations suggests they result from a process that selects for particular mutations in certain tissues.
Diagnostic codes used for billing purposes effectively identify smokers in a general clinic population and can be used to adjust smoking status in genetic and epidemiologic studies.
A new study identifies interactions between genes and nutrients that may participate in determining levels of cholesterol and triglycerides.
A new statistical tool developed by Vanderbilt biostatisticians will help medical researchers make sense of a commonly encountered – but hard-to-analyze – type of data.
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