Facial Dysmorphology
Novel Analysis
At Your Fingertips

01Upload Photos

Take a new photo with your mobile device or upload an existing one

02Search References 

Search and review genetic resources, including LMD, OMIM and GeneReviews

03Analyze Results

Build an intuitive, manageable & accessible personal case library

Face2Gene Features

Face2Gene is a Robust Tool, Ideally Suited to Aid Users, Incorporating the Following Unique Features:

Search Syndromes

Search and review multiple, genetic resources (including LMD, OMIM®, GeneReviews™ and Orphanet)

Complete HPO annotation

Complete HPO annotation, enhanced by our facial dysmorphic feature detection

Side-by-side comparison

Side-by-side comparison of similar patient images, augmented by our pattern recognition (gestalt) visual analysis

Customized reports

Customized reports with automatically calculated WHO growth charts

Online information sharing

Online information sharing for peer
consultation

Personal case library

Unlimited space, HIPAA compliant and automatically backed-up

Learn More

Keep Your Cases Fully Secure and Backed-Up

Create your Personal Case Library

How it Works

Face2Gene is a free genetic search and reference mobile app, powered by the Facial Dysmorphology Novel Analysis technology.

Watch our video tutorial to learn more about using Face2Gene

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Images Analyzed

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Face2Gene users

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Searchable Syndromes

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Features Supported

LATEST NEWS

FDNA Partners with London Medical Databases (LMD) to Provide Long-Awaited Online Access to Leading Dysmorphology Database

Award winning LMD collection will be fully integrated into FDNA’s Face2Gene dysmorphology search and reference solution   

New York, NY and London UK, Aug 26 2014– FDNA Inc. (www.fdna.com) and London Medical Databases Ltd. (www.lmdatabases.com) announced today that they have partnered to offer, for the first time, online access to the award winning database exclusively through FDNA’s solutions.

FDNA Aug 26,2014

Is a Computer-Based Facial Dysmorphology Novel Analysis Ready for the Clinic?

Previously, we were able to demonstrate that the facial dysmorphology novel analysis technology was successful in recognizing the facial dysmorphology associated with targeted selected syndromes by processing 2D facial images. In this study we investigated the performance of the Facial Dysmorphology Novel Analysis technology by analyzing a random set of images of dysmorphic individuals affected with a random variety of syndromes.

Conclusions and future work
30%–40% of genetic disorders manifest craniofacial abnormalities. Facial analysis software can successfully assist medical professionals of different specialties in the research and investigation of multiple genetic syndromes characterized by dysmorphic features. Possible future applications may include usage of facial analysis software to complement molecular studies, such as whole exome sequencing, by automatic phenotyping.

FDNA Oct 19,2014

Prader-Willi Syndrome: Toward Automated Identification of Phenotypic Differences

In Prader-Willi syndrome (PWS), the two common etiologies are paternal deletion of chromosome 15q11-13 (~70% of affected persons) and maternal uniparental disomy 15 (UPD) (~25%). 73 persons are included in our retrospective study, 37 under the age of 8 (7 UPD, 30 deletion), and 36 above (15 UPD, 21 deletion). The R Matching package was used to match individuals based on gender and age. The results reveal that, in the younger age group, nasal base and mouth width are significantly reduced in UPD, while in the older individuals, inner canthal distance and ear length are larger in UPD.

FDNA Oct 19,2014

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What People Are Saying About Face2Gene

Dr. Michael R. Hayden

Dr. Michael R. Hayden

Chairman of FDNA’s Scientific Advisory Board & Steering Committee and Editor in Chief of Clinical Genetics

FDNA’s game-changing technology introduces an objective computer-aided dimension to the “art of dysmorphology”, transforming the analysis into an evidence-based science.

Dr. David A. Chitayat

Dr. David A. Chitayat

Head of the Prenatal Diagnosis and Medical Genetics Program at Mount Sinai Hospital, Toronto

FDNA’s solution is a huge leap forward for dysmorphology. It saves me significant time when I’m evaluating patients in my clinic and provides me with insightful tools that help me generate a differential diagnosis.

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Help us transform the art of dysmorphology into an evidence-based science. Facilitate innovative research, promote discovery of new genetic syndromes and improve recognition of known syndromes.