Age-specific Facial Analysis Discoveries for Overgrowth Syndromes in the Year of Discovery

Overgrowth Syndromes

In April 2017, FDNA analyzed patient data from syndromes categorized as Overgrowth Syndromes as part of the Year of Discovery, in partnership with Invitae and Child Growth Foundation. A research team at FDNA, dedicated to making new discoveries with this data, has released new results, in addition to the March RASopathy findings, in the ongoing initiative.  In this analysis, the team aimed to see if there are specific facial analysis algorithms that can detect differences in patients with these diseases based on the age of the patient.

Facial analysis for syndromes at various ages

The ability to recognize rare diseases at earlier ages is vital to increasing survival and quality of life. FDNA analyzed the Year of Discovery data from participating clinicians globally to understand how these syndromes manifest at different ages in a way that can be detected by facial analysis. Below are five examples of facial “gestalts”—the way these syndromes look. The data behind these visualizations is now available to clinicians and researchers, inside the Face2Gene CLINIC facial analysis application, available free of charge at www.Face2Gene.com.

Beckwith-Wiedemann Syndrome:

Beckwith-Wiedemann Syndrome

Typical facial appearance of patients with Beckwith-Wiedemann Syndrome from 1 month of age to adulthood.

Simpson-Golabi-Behmel Syndrome:

Simpson-Golabi-Behmel Syndrome

Typical facial appearance of patients with Simpson-Golabi-Behmel Syndrome from 1 month of age to adulthood.

Proteus Syndrome:

Proteus Syndrome

Typical facial appearance of patients with Proteus Syndrome from 1 month of age to 6 years old.

Weaver Syndrome:

Weaver Syndrome

Typical facial appearance of patients with Weaver Syndrome from 1 month of age to adulthood.

Sotos Syndrome:

Sotos Syndrome

Shows typical facial appearance of patients with Sotos Syndrome from 1 month of age to adulthood.

When a clinician analyzes a patient using Face2Gene, the clinician will be presented with a list of syndromes that contain similar morphology, as well as a list of phenotypes and genes that the artificial intelligence engine recommends the clinician should consider in their evaluation.

To learn about all the syndromes that have benefited from Face2Gene technology, or to get involved, please contact FDNA.

Also, Be sure to check out the other discoveries being made in the Year of Discovery at FDNA Blog.

Related articles

genomics technologies

FDNA and Microsoft Collaborate to Enhance Genomics Technology Through AI

FDNA and Microsoft Genomics are working together to integrate the most advanced Artificial Intelligence solutions to support clinical genomics. Combining next-generation phenotyping (NGP), with next-generation sequencing (NGS) enables today’s health and life science organizations to reach more thorough, accurate, and actionable results and improve healthcare outcomes. Microsoft Genomics and FDNA are empowering stakeholders to use […]

Continue reading
ESHG 2017

FDNA and Face2Gene Featured at ESHG

  A flock of researchers from around the globe shared their findings in dysmorphology and molecular genetics at this year’s ESHG as a part of FDNA’s corporate satellite talk and various scientific posters. Karin Weiss (Rambam Health Care Campus, Haifa, Israel) presented her further work on Sifrim Hitz Weiss Syndrome (SIHIWES), a recently described form […]

Continue reading
variant prioritization

Redefining Phenotyping for Clinical Advancements and Variant Prioritization

FDNA’s CEO, Dekel Gelbman, joined two distinguished members of the genetics community—Dr. John Carey (University of Utah) and Dr. Christine Stanley (WuXi NextCODE)—on redefining phenotyping for clinical advancements and variant prioritization. Dr. Carey. a highly-practiced clinician, currently at the University of Utah’s Department of Medical Genetics, kicked off the webinar with a comprehensive background on […]

Continue reading