"All clinicians are trained and encouraged to obtain a family health history when interviewing patients. The issue becomes how much time to spend when considering the patient's presenting complaint and how to document the family health history for future retrospective research. The authors have a very valid concept that obtaining more detail may help the understanding of the natural history of disease. It may require a reconsideration of how to aggregate the family health history obtained by many clinicians over the lifetime of a patient, rather than spending an extended period delving into an extensive discussion during one interview with the patient." --Doody
1. The growing medical relevance and value of family health history2. Family health history's place in genomic medicine3. The connection between genetic variation,family health history, and disease risk4. Family-specific genetic variants: Principles, detection, and clinical interpretation5. Genes and cancer: Implications for FHH analysis6. Using family health history to identify and reduce modifiable disease risks7. Technology for family health history and collection and analysis8. Family health history and genetic counseling9. Current and future trends in diagnostics and treatment10. Current and future trends to integrate family health history with clinical programs to improve population health
Dr. Vincent Henrich is Professor Emeritus of Biology and former Director of the Center for Biotechnology, Genomics, and Health Research at University of North Carolina at Greensboro. His research interests include gene-environment interactions affecting conditions and nuclear receptor biology. Additionally, he has conducted extensive research related to the connection between family health history and genomic and genetic diagnostics, as a basis for assessing an individual's vulnerability to serious medical conditions and diseases. Dr. Henrich and Dr. Lori Orlando collaborate on the Guilford Genomic Medicine Initiative, a project funded by the Department of Defense to implement family health history usage and appropriate genetic testing into primary care settings. His main responsibility for this project is overseeing genetic counseling and education programs for physicians and patients.
Dr. Lori Orlando is Associate Professor of Medicine and Director of the Precision Medicine Program in the Center for Applied Genomics and Precision Medicine at Duke University. Her major research interests are decision making and patient preferences, implementation research, risk stratification for preventive health services, and decision modeling. In her work at the Center for Applied Genomics and Precision Medicine, Dr. Orlando leads the development and implementation of MeTree, a patient-facing family health history based risk assessment and clinical decision support initiative. Dr. Orlando collaborates and has published papers with Dr. Henrich related to the Guilford Genomic Medicine Initiative, where she leads the development of clinical protocols to obtain and assess family health history, implement evidence-based medical recommendations to reduce disease risk, and develop follow-up procedures that maintain patient flow.
Brian Shirts, M.D., is an Associate Professor and Associate Director of the University of Washington, Department of Laboratory Medicine's Genetics and Solid Tumor Laboratory. Dr. Shirts' specialty is genetic testing for hereditary cancer risk and other complex hereditary traits. His goal is to create systems that allow the highest quality genetic testing possible for all patients. Dr. Shirts earned his M.D. and Ph.D. at the University of Pittsburgh. He is board certified in both Clinical Pathology and Molecular Genetic Pathology. His clinical interests include improving strategies for detection and classification of rare mutations, as well as the clinical classification of rare genetic variants of uncertain significance. Dr. Shirts' research interests include developing communication strategies to help physicians and families learn about complex genetic information. A special interest is in family-centric personalized healthcare using genetic information.