학술논문

Cornelia de Lange syndrome in diverse populations
Document Type
article
Source
American Journal of Medical Genetics Part A. 179(2)
Subject
Biological Sciences
Biomedical and Clinical Sciences
Genetics
Brain Disorders
Rare Diseases
Clinical Research
Intellectual and Developmental Disabilities (IDD)
Pediatric
Neurosciences
Congenital
Abnormalities
Multiple
Adolescent
Adult
Cell Cycle Proteins
Child
Child
Preschool
Chondroitin Sulfate Proteoglycans
Chromosomal Proteins
Non-Histone
De Lange Syndrome
Face
Female
Humans
Image Processing
Computer-Assisted
Infant
Infant
Newborn
Intellectual Disability
Male
Mutation
Phenotype
Racial Groups
Young Adult
CdLS
Cornelia de Lange syndrome
diverse populations
facial analysis technology
NIPBL
underrepresented minorities
Clinical Sciences
Clinical sciences
Language
Abstract
Cornelia de Lange syndrome (CdLS) is a dominant multisystemic malformation syndrome due to mutations in five genes-NIPBL, SMC1A, HDAC8, SMC3, and RAD21. The characteristic facial dysmorphisms include microcephaly, arched eyebrows, synophrys, short nose with depressed bridge and anteverted nares, long philtrum, thin lips, micrognathia, and hypertrichosis. Most affected individuals have intellectual disability, growth deficiency, and upper limb anomalies. This study looked at individuals from diverse populations with both clinical and molecularly confirmed diagnoses of CdLS by facial analysis technology. Clinical data and images from 246 individuals with CdLS were obtained from 15 countries. This cohort included 49% female patients and ages ranged from infancy to 37 years. Individuals were grouped into ancestry categories of African descent, Asian, Latin American, Middle Eastern, and Caucasian. Across these populations, 14 features showed a statistically significant difference. The most common facial features found in all ancestry groups included synophrys, short nose with anteverted nares, and a long philtrum with thin vermillion of the upper lip. Using facial analysis technology we compared 246 individuals with CdLS to 246 gender/age matched controls and found that sensitivity was equal or greater than 95% for all groups. Specificity was equal or greater than 91%. In conclusion, we present consistent clinical findings from global populations with CdLS while demonstrating how facial analysis technology can be a tool to support accurate diagnoses in the clinical setting. This work, along with prior studies in this arena, will assist in earlier detection, recognition, and treatment of CdLS worldwide.