Our IP

innovation

Our Database

database

With more than 15,000 DNA population wide samples from various ethnic groups stored entirely in-house, SkinDNA International is leading the way in Dermal DNA Science.

The collaboration of geneticists, cosmetic physicians, skin scientists, and volunteer study participants commenced their work in 2006 with two principle objectives: (1) To identify the genetic factors that contribute to age-related changes in the skin; and (2) to identify actionable pathways available for each of those genetic factors in order to help each and every individual worldwide preserve a more youthful looking skin.

The research profiled the action of more that 6800 genes and – using genome wide association studies – they discovered more than 200 abnormal gene traits in the form of Single Nucleotide Polymorphisms (SNPs) implicated in the health and wellbeing of our skin. Most significant was the prevalence of some of these SNPs and the effect that had on the skin.

With over 10 years of research, the company pioneered the worlds first and largest derma genetics database – their most significant achievement to date, with more than 15,000 DNA population wide samples from various ethnic groups stored entirely in house.

SkinDNA ™ Genetic Test

dnatest

SkinDNA™ Genetic Test provides a scientific foundation for more accurately predicting the skin care needs of each individual.

The companies remarkable discovery of 15 genetic markers positioned in proprietary combinations matched to specific skin ageing categories that play a role in skin protection, premature aging and determining future outcomes of our skin.

SkinDNA™ Genetic Test results can be used as a personal guide for building a complete, custom tailored skincare regimen that allows you to achieve optimal long term skin health.

DG-Theorem™

dg-theorem

DG-Theorem yields a greater population accuracy for genetic outcomes by a factor of 10.

SkinDNA International utilises its proprietary DG-Theorem™ statistical algorithms for the analysis of resultant, multiple Single Nucleotide Polymorphic genetic variations, which are analysed from the use of the popular SkinDNA ™ Genetic Test.

The modelling calculations incorporate both the individual known statistical variances for a genetic outcome in combination with SkinDNA’s International growing sample set; improving the population accuracy for outcomes by a factor of 10 making SkinDNA International the worldwide leader in its field.

SkinDNA ™ Genetic Test Report

reports

A user friendly report is tailored to the end-user based on the proprietary DG-Theorem™ statistical algorithms.

After data is analysed from the SkinDNA ™ Genetic Test, a user friendly report is tailored to the end-user based on the proprietary DG-Theorem™ statistical algorithms and portrayed across five broad skin aging categories.

  • Firmness + Elasticity
  • Wrinkling (A.G.E.)
  • Sun Damage + Pigmentation
  • Free Radical Damage
  • Sensitivity + Inflammation

The DG-Theorem™ statistical outcomes are then utilized to recommend products containing or omitting certain ingredients and/or concentrations thereof, or in the recommendation to utilize or avoid other products and/or services which are best matched to the individuals genetic makeup.

The Mazy Scale™

mazy-scale

All recommendations are made on a proprietary graduated scale of 0.001 to 1 referred to as the Mazy Scale™.

The Mazy scale is a numerical classification schema based on a graduated scale of 0.001 to 1 to visually represent the skins genetic risk factors portrayed across the skin aging processes of skin. It was developed by SkinDNA International experts as a way to classify the response of different types of skin based on various genetic outcomes and other external factors including race and lifestyle factors.

It remains a recognized tool for dermatologic research into skin aging and genetic outcomes and is featured on every SkinDNA ™ Genetic Test Report as well as its “White Label” solutions where SkinDNA International has assisted in co-branding or rebranding for distribution.