About us
Dr. Mark N Ziats, MD, PhD
Mark Ziats received his B.S. in Biochemistry from Clemson University. He then received a National Institutes of Health Academy Fellowship to work at the National Human Genome Research Institute as part of the then newly formed Undiagnosed Diseases Program. Dr. Ziats then completed a combined MD/PhD training program supported by a grant through the National Institutes of Health, doing his medical training at Baylor College of Medicine in Houston, TX and his PhD research at the University of Cambridge (U.K.). He then completed Internal Medicine Residency at the University of Michigan. He is Board Certified in Internal Medicine and has extensive clinical experience in acute care, post-acute care, and general outpatient Internal Medicine with particular focus on geriatric patients and complex / undiagnosed disorders.
Dr. Catherine A Ziats, MD
Catherine Ziats received her B.S. in Chemistry from the University of Florida. She then received a fellowship from the National Institute of Child Health and Human Development where she worked on genetic disorders of neurodevelopment. She went on to complete her medical training at the University of Florida Medical School and an internship at University of Michigan Hospitals. She then completed residency in Medical Genetics at the Greenwood Genetics Center. She completed additional training in Biochemical and Metabolic Genetics and Genomics at the University of Texas at Houston. She is Board Certified in Clinical Genetics and has been recognized by the American College of Medical Genetics for her contributions to the field with the 2021 David L. Rimon Excellence Award. She has broad experience with particular focus on neurodevelopmental disorders and adult genetics.
Polygenic Risk Scoring
​We are now offering this testing to assess for individual risk for a number of chronic conditions, including diabetes, heart attack and stroke, dementia, and others. Contact us below if you are interested.
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​A "polygenic risk score" is a numerical value that estimates an individual's genetic predisposition to develop a specific disease or trait by considering the combined effect of many small genetic variations across their genome, essentially giving a score that compares their genetic risk to others in the population; it is calculated using data from large genetic studies that identify numerous genetic variants associated with the disease or trait in question.
