Affiliations 

  • 1 Medical Genetics Branch, National Human Genome Research Institute, The National Institutes of Health, Bethesda, Maryland
  • 2 Children's National Health System, Sheikh Zayed Institute for Pediatric Surgical Innovation, Washington, District of Columbia
  • 3 Servicio de Genética, Hospital de Pediatría Garrahan, Buenos Aires, Argentina
  • 4 LKS Faculty of Medicine, Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, China
  • 5 Division of Human Genetics, University of Cape Town, Cape Town, South Africa
  • 6 Center of Human Genetics, School of Medicine and Pharmacy, College of Medicine and Pharmacy, University of Rwanda, Kigali, Rwanda
  • 7 Faculty of Medicine,Department of Paediatrics, University of Malaya, Kuala Lumpur, Malaysia
  • 8 Department of Genetics, University of Pretoria, Pretoria, South Africa
  • 9 Department of Paediatrics College of Medicine, University of Lagos, Lagos University Teaching Hospital, Lagos, Nigeria
  • 10 Division of Medical Genetics, Department of Pediatrics, University of Mississippi Medical Center, Jackson, Mississippi
  • 11 GeneDx, Gaithersburg, Maryland
  • 12 Medical Genetics and Oncogenetics Unit, Hassan II University Hospital, Fez, Morocco
  • 13 Department of Medical Genetics, Kasturba Medical College, Manipal University, Manipal, India
  • 14 Mazumdar Shaw Medical Center, Narayana Health City, Bangalore, India
  • 15 Faculty of Medicine, Human Genetics Unit, University of Colombo, Colombo, Sri Lanka
  • 16 Instituto Nacional de Salud del Niño, Lima, Peru
  • 17 Greenwood Genetic Center, Greenwood, South Carolina
  • 18 School of Medicine and Dentistry,Department of Child Health, College of Health Sciences, Accra, Ghana
  • 19 Faculty of Medicine,Center of Excellence for Medical Genetics, Department of Pediatrics, Chulalongkorn University, Bangkok, Thailand
  • 20 Division of Genetics and Metabolism, Children's National Health System, Washington, District of Columbia
  • 21 Institut Jérôme Lejeune, Paris, France
  • 22 Harvey Institute for Human Genetics, Greater Baltimore Medical Center, Baltimore, Maryland
  • 23 Uganda Heart Institute, Kampala, Uganda
  • 24 Division of Developmental and Behavioral Pediatrics, Department of Pediatrics, Chiangmai University, Chiang Mai, Thailand
  • 25 Hospital for the Rehabilitation of Craniofacial Anomalies, São Paulo University, Bauru, Brazil
  • 26 Department of Medical Genetics, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India
Am J Med Genet A, 2017 Sep;173(9):2323-2334.
PMID: 28748642 DOI: 10.1002/ajmg.a.38362

Abstract

Noonan syndrome (NS) is a common genetic syndrome associated with gain of function variants in genes in the Ras/MAPK pathway. The phenotype of NS has been well characterized in populations of European descent with less attention given to other groups. In this study, individuals from diverse populations with NS were evaluated clinically and by facial analysis technology. Clinical data and images from 125 individuals with NS were obtained from 20 countries with an average age of 8 years and female composition of 46%. Individuals were grouped into categories of African descent (African), Asian, Latin American, and additional/other. Across these different population groups, NS was phenotypically similar with only 2 of 21 clinical elements showing a statistically significant difference. The most common clinical characteristics found in all population groups included widely spaced eyes and low-set ears in 80% or greater of participants, short stature in more than 70%, and pulmonary stenosis in roughly half of study individuals. Using facial analysis technology, we compared 161 Caucasian, African, Asian, and Latin American individuals with NS with 161 gender and age matched controls and found that sensitivity was equal to or greater than 94% for all groups, and specificity was equal to or greater than 90%. In summary, we present consistent clinical findings from global populations with NS and additionally demonstrate how facial analysis technology can support clinicians in making accurate NS diagnoses. This work will assist in earlier detection and in increasing recognition of NS throughout the world.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.