University of Maryland School of Medicine since 2000
Professor
Southwest Foundation for Biomedical Research - San Antonio, TX 1994 - 2000
Scientist
San Antonio 1987 - 1994
University of Texas Health Science Center
Education:
University of Michigan 1981 - 1987
Doctor of Philosophy (PhD), Epidemiology
Princeton University 1974 - 1978
AB, Psychology
Skills:
Statistics Research Fundraising Social Media Epidemiology Neuroscience Editing Molecular Biology Public Health Biostatistics Program Evaluation Teaching Program Development Science Genetics Translational Research Animal Models Literature Reviews Diabetes Genomics Scientific Writing Research Design Clinical Research Data Analysis Grant Writing Spss Genetic Epidemiology Lifesciences
Alan R. Shuldiner - Columbia MD, US Braxton D. Mitchell - Towson MD, US Patrick F. McArdle - Baltimore MD, US Ying Wang - Columbia MD, US Sarah E. Dorff - Columbia MD, US
The present invention is drawn to diagnosis and treatment of essential hypertension. In this regard, the present invention discloses genetic variants in a hypertension susceptibility gene Stk39 and its use in the diagnosis and treatment of essential hypertension.
Single Nucleotide Polymorphism Associated With Stroke Susceptibility
Steven Kittner - Ellicott City MD, US Qing Song - Decatur GA, US Braxton Mitchell - Towson MD, US Jeffrey O'Connell - Ellicott City MD, US John Cole - Baltimore MD, US O. Stine - Baltimore MD, US Gary Gibbons - Atlanta GA, US
International Classification:
C12Q 1/68
US Classification:
435006000
Abstract:
The present invention identifies various risk alleles, particularly a risk allele of SNP rs918592, within the PDE4D gene as novel stroke associated risk markers. These markers may be used for identifying a subject's susceptibility to stroke and diagnosing a subject's susceptibility to a particular type of stroke based on the presence of the risk allele. The markers are found in the human population, particularly the human female population, across different ethnicities. The marker further reveals an environmental impact on a subject's susceptibility to stroke, showing a dose dependent relationship.
This is a real tour de force, says genetic epidemiologist Braxton Mitchell of the University of Maryland School of Medicine in Baltimore. This is a great example of using large, publicly available data sets to do interesting research.