Dysmorphology is the branch of pediatrics and clinical genetics concerned with structural birth defects and delineation of syndromes. More than 1500 syndromes that include orofacial dysmorphia have been described. Today, dysmorphology remains largely descriptive, with diagnoses based on subjective or semi-quantitative clinical impressions of facial and other anatomic features. Over the past decade, dramatic technological advances in imaging, quantification, and analysis of variation in complex three-dimensional (3D) shape have revolutionized the assessment of morphologic variation, permitting robust definition of quantitative morphometric phenotypes that can distinguish patients from controls in a variety of syndromes. The goal of this application is to develop systems that will enable diagnostic application of craniofacial 3D morphometrics in clinical practice.
We aim to define specific quantitative measures that characterize the aberrant facial shapes in a large number of human dysmorphic syndromes. Specifically, we aim to build a broad and deep 3D morphometric facial scan "library" of defined craniofacial dysmorphic syndromes, a resource that can be shared with approved investigators for research purposes via the NIDCR FaceBase Hub;to develop 3D geometric morphometric (GM) and dense surface modeling (DSM) analytical tools to systematically analyze and distinguish dysmorphic syndromes from unaffected individuals and from each other;and finally to develop a functional, automated, prototype clinical tool that is capable of simultaneously distinguishing a large number of syndromes, and that thereby can assist real-time diagnosis of syndromes in the clinical setting. We anticipate that 3D photomorphometric "deep-phenotyping", in conjunction with the rapid advent of exome and genome sequencing in clinical medicine, will transform dysmorphology from a clinical art into a medical science.

Public Health Relevance

We hypothesize that the aberrant facial shapes, or dysmorphology, of specific human syndromes can be specifically characterized using 3D photomorphometry to derive objective quantitative measures, and that these can be used to build a syndrome facial shape library. Ultimately, our work will lead to a prototype diagnostic too to accurately characterize and discriminate among dysmorphic syndromes. By developing quantitative 3D morphometry as a routine tool to assist clinical diagnosis, we aim to re-define dysmorphology in specific quantitative terms. This work will revolutionize diagnosis in the genetics clinic setting.

Agency
National Institute of Health (NIH)
Institute
National Institute of Dental & Craniofacial Research (NIDCR)
Type
Research Project--Cooperative Agreements (U01)
Project #
1U01DE024440-01
Application #
8725399
Study Section
Special Emphasis Panel (ZDE1-MH (25))
Program Officer
Scholnick, Steven
Project Start
2014-05-16
Project End
2019-04-30
Budget Start
2014-05-16
Budget End
2015-04-30
Support Year
1
Fiscal Year
2014
Total Cost
$709,333
Indirect Cost
$139,335
Name
University of Colorado Denver
Department
Pediatrics
Type
Schools of Medicine
DUNS #
041096314
City
Aurora
State
CO
Country
United States
Zip Code
80045