A worldwide scientific collaboration spearheaded by teams of researchers at UCSD and UCSF has led to the development of a scoring system potentially capable of identifying an individual’s age-specific risk profile for developing Alzheimer’s disease (AD). Rahul S. Desikan, MD, PhD, clinical instructor in the UCSF Department of Radiology & Biomedical Imaging, claims that combining “genotype-derived polygenic information with known AD incidence rates from the U.S. population” allowed their genetic testing parameters to “calculate your ‘personalized’ annualized risk for developing AD.” This research has multiple potential applications in clinical trial strategies and developing more accurate prognoses.

Click here to read the paper published in PLOS Medicine.

Click here to review the article published on UCSD Health’s News Outlet.