Getting Started With Face2Gene RESEARCH
Want to learn how to perform and publish novel clinical research analyses using Face2Gene? Here’s some information to help you learn more and get started!
Why Face2Gene RESEARCH?
Using the Face2Gene RESEARCH app, you can leverage FDNA’s unique facial analysis technology to create collaborative research projects with your colleagues around the world. You can also use it to analyze your own clinical cohorts to:
- Confirm the presence of distinct facial patterns in novel syndromes
- Assess Face2Gene’s performance for your syndrome cohorts
- Explore the variables that may impact facial phenotype, such as age, treatment status, or causative gene
How To Get Started
Enter your research cases in Face2Gene CLINIC (learn how) and use Face2Gene RESEARCH to create a new project.
For inspiration, check out past research conducted using Face2Gene:
- Amudhavali et al. developed a facial model for Aymé‐Gripp syndrome and validated the use of the model to distinguish patient with Aymé‐Gripp from patient with Down syndrome
- Liehr et al. evaluated the use of Face2Gene to distinguish between patients with Emanuel syndrome and those with Pallister-Killian syndrome have distinct facial patterns from one another and from other syndromes with small supernumerary marker chromosomes
- Zarate et al. assessed performance of F2G for recognizing patients with SATB2-associated syndrome, and highlighted key facial patterns with the development of facial composite
- Pantel et al. Advances in computer-assisted syndrome recognition by the example of inborn errors of metabolism. J Inherit Metab Dis.
- Monseny et al. From gestalt to gene: early predictive dysmorphic features of PMM2-CDG. J Med Genet.
- Vorravanpreecha et al. Studying Down syndrome recognition probabilities in Thai children with de‐identified computer‐aided facial analysis American Journal of Medical Genetics. Am J Med Genet Part A.