Session Chair Profile

M.D., Ph.D., Chief Genomics Officer (CGO), UCSF Health

Biography
Dr. Aleksandar Rajkovic serves as the UCSF Chief Genomics Officer and is the Medical Director and Chief of the Center for Genetic and Genomic Medicine (CGGM) that organizes, coordinates and oversees Clinical Genetics and Genomics Services across the entire UCSF Health System. He also serves as the Director of the Genomic Medicine Initiative. He is also Stuart Lindsay Distinguished Professor in Experimental Pathology I, member of the American Society of Clinical Investigation and American Association of Physicians. His research interests lie in basic and translational medical sciences in the area of reproductive genetics. Dr. Rajkovic discovered numerous genes that play critical roles in reproductive tract development, male and female infertility, and uterine tumors. He has been at the forefront of applying cutting edge genomic technologies to reproductive diagnostics, including prenatal diagnosis, preimplantation genetic screening, and perinatal genomics. He has made significant contributions to non-invasive diagnosis of submicroscopic deletions, design and utility of dense X chromosome arrays, and utility of genome wide detection of copy number variants in prenatal diagnosis. His current interests lie in whole genome applications towards population based health prediction and prevention, as well as prevention of Mendialian disorders.


 Session Abstract – PMWC 2020 Silicon Valley


Recently, several unique partnerships for population sequencing studies have been launched. Various medical organizations and pharmaceutical and direct-to-consumer testing companies are included in these partnerships. The designed studies are expected to create new insights, identify new disease targets, and improve individualized patient care. In this session we will hear updates about several of these collaborative population studies to learn about the various opportunities created, the resulting benefits for each of the partners, and the challenges that need to be overcome in relation to data flow and data sharing.