Two main gene discovery methods reveal complementary aspects of biology
Peer-Reviewed Publication
Updates every hour. Last Updated: 25-Dec-2025 09:11 ET (25-Dec-2025 14:11 GMT/UTC)
New prostate cancer research from an international team led by the Center for Genetic Epidemiology at the Keck School of Medicine of USC has yielded discoveries that could improve screening and treatment for patients of African ancestry. The scientists identified variants of five genes —ATM, BRCA2, CHEK2, HOXB13 and PALB2—linked in this population to aggressive disease or to cancer that spreads, or metastasizes, to other organs. The study also found a wide range of risk among participants. By combining data on the five specific genes with the polygenic risk score for prostate cancer and information about family history of prostate cancer, the researchers introduced a method that could help identify those most likely to face deadlier forms of the disease. The research included data and samples from more than 12,000 Black men from North America and Africa. This included over 7,000 prostate cancer cases and a control group of nearly 5,000. Study participants carrying disease-causing variants of these genes were up to six times as likely to develop prostate cancer compared to those without them. Carriers of dangerous genetic variants who also had prostate cancer in their families and polygenic risk scores in the top 10% faced the highest risk of potentially life-threatening disease. Compared to those at average risk, they were seven times more likely to develop prostate cancer, 18 times more likely to have aggressive disease, and 34 times more likely to get metastatic cancer.
For the first time, a USC-led research team has mapped the genetic architecture of a crucial part of the human brain known as the corpus callosum—the thick band of nerve fibers that connects the brain’s left and right hemispheres. The findings open new pathways for discoveries about mental illness, neurological disorders and other diseases related to defects in this part of the brain. In the new study, published in Nature Communications, the team analyzed brain scans and genetic data from over 50,000 people, ranging from childhood to late adulthood, with the help of a new tool the team created that leverages artificial intelligence. The AI tool finds the corpus callosum in different types of brain MRI scans and automatically takes its measurements. Using this tool, the researchers identified dozens of genetic regions that influence the size and thickness of the corpus callosum and its subregions. The study revealed that different sets of genes govern the area versus the thickness of the corpus callosum—two features that change across the lifespan and play distinct roles in brain function. Several of the implicated genes are active during prenatal brain development, particularly in processes like cell growth, programmed cell death, and the wiring of nerve fibers across hemispheres. These findings provide a genetic blueprint for one of the brain’s most essential communication pathways. By uncovering how specific genes shape the corpus callosum and its subregions, researchers can start to understand why differences in this structure are linked to various mental health and neurological conditions at a molecular level.