"Unraveling the Genetic Mystery of Tobacco Addiction"

Researchers at the University of California San Diego School of Medicine used AI and genome-wide association studies to identify 461 new candidate genes associated with tobacco use disorder, primarily expressed in the brain, by analyzing electronic health records of 898,680 individuals. This study not only advances our understanding of tobacco addiction but also points to numerous potential drug candidates for treatment, highlighting the potential of electronic health records as a valuable resource for genetic research in addressing this pervasive public health challenge.