Two decades ago, oncologists realized that molecular biologists could see medically important differences between tumors that looked identical to pathologists. Molecular biologists could read information in the genome that helped to increase the precision of diagnoses, guide treatment strategies, and improve health outcomes.
Now, a research team from Columbia University has taken the first steps toward bringing such a genomic strategy into dermatology.
Their findings, reported in the Nov. 24 issue of Scientific Reports, represents an initial step towards developing a molecular taxonomy for hair disorders. The taxonomy will be useful for diagnostic sequencing of patients with diseases affecting their hair follicles. It will also improve the characterization of hair follicle biology and pave the way for new precision medicine treatments for hair diseases.
“Genome sequencing is changing the nature of disease diagnosis, and we saw an opportunity with rare hair diseases, since these disorders tend to be poorly annotated in catalogs of genetic diseases,” says Lynn Petukhova, an assistant professor in the Department of Dermatology at the College of Physicians & Surgeons and an affiliate of the Data Science Institute, where she’s a member of the Health Analytics Group. “We thus started to organize genetic data for diagnostic sequencing in patients with rare diseases involving hair and were excited by what we discovered.”
The research team is comprised of Columbia researchers from the Department of Dermatology at the College of Physicians & Surgeons; the Data Science Institute; the Department of Biostatistics, Mailman School of Public Health; and the Department of Epidemiology at the Mailman School. The research was supported in part by funding from the National Institute of Arthritis and Musculoskeletal and Skin Diseases of the National Institutes of Health, through the Columbia University Skin Disease Resource-Based Center (epiCURE).
After sifting through several databases the team found more than 600 genes, Petukhova said. Once the team saw all that data, they realized they had an opportunity to gain a deeper understanding of the biology that helps maintain a healthy hair follicle.