William R. Sukov

William R. Sukov, M.D. is a Medical Geneticist and Pathologist at Mayo Clinic in Rochester, Minnesota, specializing in Laboratory Medicine and Pathology with a focus on Anatomic Pathology. He is affiliated with the Department of Laboratory Medicine and Pathology within the Mayo Clinic College of Medicine and Science.

Dr. Sukov received his medical degree from the University of Colorado Health Sciences Center in 2004 and completed his undergraduate studies in Molecular, Cellular and Developmental Biology at the University of Colorado at Boulder in 1998. His training includes residencies and fellowships in Anatomic and Clinical Pathology, Surgical Pathology, and Cytogenetics at Mayo Clinic.

His research interests center on molecular pathology, cytogenetics, and cancer diagnostics, with particular expertise in renal cell carcinoma, sarcoma diagnostics, and genomic profiling techniques. Dr. Sukov has made significant contributions to the understanding of TFE3/TFEB alterations in renal tumors, SNP chromosomal microarray applications, and molecular classification of various neoplasms.

Analysis of his most recent publications reveals a strong focus on applying advanced genomic techniques to diagnostic pathology, particularly in renal tumors, sarcomas, and gynecologic neoplasms. His work bridges molecular diagnostics with clinical pathology, emphasizing practical applications of genomic technologies in everyday diagnostic settings.

Dr. Sukov serves on multiple committees including the Quality Committee for the Division of Laboratory Genetics and Genomics and the CAP/ACMG Cytogenetics Resource Committee. He is an active member of several professional organizations including the American Society of Clinical Pathology, Association of Molecular Pathology, and College of American Pathologists.

His laboratory work focuses on implementing advanced genomic technologies for diagnostic pathology, with particular emphasis on fluorescence in situ hybridization, next-generation sequencing, and chromosomal microarray analysis for tumor classification and diagnosis.