Can we predict human head hair greying based on DNA? Human Genome Variation Research Group published a new paper
Aging is inherently connected with changes in human appearance. Progressive physical traits include skin aging signs, greying of hair, and hair loss and are perceived as biomarkers of an individual’s aging rate and general health. Understanding the mechanisms underlying the differences in the pace of changes in human appearance and thus the mechanisms of aging processes can find practical application in forensics, medicine, and in the cosmetic industry.
Human Genome Variation Research Group has just published a new paper investigating the genetic basis for head hair greying. Novel DNA variants were disclosed in whole-exome analyses and were found to explain < 10% of hair greying variation thus confirming hair greying as being genetically a very complex trait. Finally, prototype predictive models for hair greying were developed and provided a fairly accurate prediction of hair greying based on DNA analysis and individual’s age information.
The work was published in BMC Genomics. Full text of the paper is available at: https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-020-06926-y