Publications

Highlighting phenotypic differences of Down Syndrome and Turner (45X) Syndrome Patients from different ethnic groups using computer-aided facial dysmorphology analysis

March 12, 2016

Kershenovich, R., & Lumaka, A. Presented at the American College of Medical Genetics and Genomics (ACMG) 2016 Annual Meeting in Tampa Florida. Introduction: As computer-aided facial dysmorphology analysis technology becomes more frequent in the clinic, the issue of phenotypic syndrome variation based on ethnicity has been highlighted. In this study, we compare the ability of this […]

Face2Gene Academy: a Review of a New Online Community-Based Dysmorphology Training Tool

February 1, 2016

With the title of “Face2Gene Academy: Revue d’un nouvel outil en ligne de formation à la Dysmorphologie basé sur la communauté” this poster written by Prof. Lina Basel-Vanagaite is presented at the Annual French Meeting of Human Genetics in Lyon, France. The goal of this computer-aided, dysmorphology training tool is to train and test residents […]

Recognition of the Cornelia de Lange Syndrome Phenotype with Facial Dysmorphology Novel Analysis

December 14, 2015

Lina Basel-Vanagaite, Lior Wolf, Melanie Orin, ,Lidia Larizza, Cristina Gervasini, Ian D. Krantz, ,Matthew A. Deardoff: DOI: 10.1111/cge.12716 Clinical Genetics 2015 Abstract Facial analysis systems are becoming available to healthcare providers to aid in the recognition of dysmorphic phenotypes associated with a multitude of genetic syndromes. These technologies automatically detect facial points and extract various measurements […]

DIAGNOSTIC EVALUATION OF THE DYSMORPHIC PATIENT

November 1, 2015

Y.Lacassie; Rev. Med.Clin.Condes – 2015:26 (4) 452-457 Abstract Dysmorphology refers to the study of patients with congenital malformations. However, dysmorphology not only includes the study of birth defects but also the study of patients with other anomalies making him/her look different. In this article we review qualitative abnormalities, such us malformations, deformations, disruptions and displasias […]

Face2Gene: a new tool for the clincal geneticist

October 15, 2015

During the E.C.E.M.C conference a poster was presented by Dr. Antonio Antonio Martínez Carrascal from Requena Hospital in Valencia. This conference is the annual meeting of the  Spanish Group for the Registry and Research of Congenital Malformations and took place in Avilés, Spain on October 15-17, 2015. The poster describes Face2Gene and presents Dr.Martínez Carrascal two-fold interest in […]

Utility and limitations of animal models for the functional validation of human sequence variants

August 3, 2015

Cox, T. C. (2015), Utility and limitations of animal models for the functional validation of human sequence variants. Molecular Genetics & Genomic Medicine. doi: 10.1002/mgg3.167 Abstract One of the biggest challenges facing us in this new age of genomic medicine is the functional validation of variants identified in exome / whole genome sequencing approaches. This article […]

Characterization of facial phenotypes of children with congenital hypopituitarism and their parents: A matched case-control study

July 1, 2015

Manousaki D, Allanson J, Wolf L, Deal C. 2015. Characterization of facial phenotypes of children with congenital hypopituitarism and their parents: A matched case-control study. Am J Med Genet Part A167A:1525–1533. Abstract Congenital Hypopituitarism (CH) has traditionally been associated with specific facial phenotypes subsumed under the term midface retrusion, based on cephalometric studies. In this […]

Efficiency of Computer‐Aided Facial Dysmorphology Analysis in the Medical Genetics Clinic

June 9, 2015

During the European Meeting for Human Genetics, Assoc. Prof.  Ibrahim Akalin, MD and Dr. Sarenur Yilmaz, MD presented a poster entitled “Efficiency of Computer-Aided Facial Dysmorphology Analysis in the Medical Genetics Clinic”. 12 patients who were affected by 8 syndromes were analyzed by the FDNA technology . When the correct syndrome was listed in the […]

Evaluating the Benefit and Efficiency of Using Computer-Aided Facial Dysmorphology Novel Analysis in the Clinical Setting

March 26, 2015

This year at ACMG Dr. Chad Haldeman-Englert and Prof Lior Wolf presented a poster entitled “Evaluating the Benefit and Efficiency of Using Computer-Aided Facial Dysmorphology Novel Analysis in the Clinical Setting”. 31 cases were collected through Face2Gene, all of which had a molecular diagnosis indication and were analyzed with the Facial Dysmorphology Novel Analysis technology. In […]

Face2Gene User Community Includes Users From:

  • Using Face2Gene to reference all my department’s cases, share information with my colleagues and quickly look up relevant information in the London Medical Databases Online saves me hours of work every week and allows me to focus on my patients.

    Dr. Ibrahim Akalin

    Assoc. Prof. Ibrahim Akalin, MD, Medical Geneticist from the Istanbul Medeniyet University, Istanbul, Turkey

  • 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. Michael R. Hayden

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

  • FDNA is developing technology that has the potential to help so many physicians and families by bringing them closer to a diagnosis- there are literally millions of individuals with unusual features around the world that lack a diagnosis and therefore lack information on natural history, recurrence risk and prevention of known complications.

    Dr. Judith G. Hall

    Professor Emerita of Pediatrics & Medical Genetics UBC & Children's and Women's Health Centre of BC

  • FDNA has been “right on the money”, providing me with relevant, accurate and insightful information for differential diagnoses.

    Dr. Cynthia J.R. Curry

    Professor of Pediatrics UCSF, Adjunct Professor of Pediatrics Stanford

  • I am excited to be a part of the FDNA community, promoting broad information sharing with my peers to amplify the scientific and clinical value of our community’s accumulated knowledge for the purpose of efficiently diagnosing individuals with rare genetic disorders.

    Dr. Karen W. Gripp

    Chief, Division of Medical Genetics A.I. duPont Hospital for Children

  • FDNA's idea of incorporating several dysmorphology resources (OMIM, GeneReviews), supported by their visual analytic technology, will be able to improve researching of genetic syndromes - all within a single mobile app.

    Dr. Chad Haldeman-Englert

    Assistant Professor Pediatrics at Mission Fullerton Genetics

  • Given the advancement of visual analytical technology, it’s about time Dysmorphology is supported with computational capabilities and moving this to mobile support, is simply the next logical step.

    Dr. Chanika Phornphutkul

    Associate Professor of Pediatrics Director, Division of Human Genetics Department of Pediatrics Warren Alpert Medical School of Brown University

  • Having an archive of cases easily accessible from my mobile device anytime and anywhere is a long-time unmet need.

    Dr. Lynne Bird

    Rady Children's Specialists of San Diego

  • 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.

    Dr. David A. Chitayat

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

  • Shortly after learning about Face2Gene, I’ve started to incorporate this amazing tool into my workflow. Soon enough, Face2Gene’s analysis flushed out references that I would not have considered for several of my patients, which turned out to be their correct diagnosis

    Dr. Zvi U. Borochowitz

    Chairman (Retired) of The Simon Winter Institute for Human Genetics at Bnai-Zion Medical Center, Technion-Rappaport Faculty of Medicine

  • The Unknown Forum from Face2Gene is a great community platform for exchanging opinions regarding undiagnosed cases. It is straightforward to use and safe for exchange of medical data, thanks to the efforts of its developers and to the involvement of geneticists worldwide.

    Dr. Oana Moldovan

    Clinical Geneticist at the Hospital Santa Maria, CHLN, Lisbon, Portugal