Affiliations 

  • 1 Medical Genetics Branch, National Human Genome Research Institute, The National Institutes of Health, Bethesda, Maryland
  • 2 Division of Medical Genetics and Metabolism, Children's Hospital of The King's Daughters, Norfolk, Virginia
  • 3 FDNA Inc., Boston, Massachusetts
  • 4 Department of Paediatrics, All India Institute of Medical Sciences, New Delhi, India
  • 5 Human Genetics Unit, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka
  • 6 Departamento de Medicina, Hospital Clínico de la Universidad de Chile, Santiago, Chile
  • 7 Department of Pediatric Genetics, Amrita Institute of Medical Sciences and Research Centre, Kerala, India
  • 8 Department of Medical Genetics, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India
  • 9 Mazumdar Shaw Medical Center, Narayana Hrudayalaya Hospital, Bangalore, India
  • 10 Genetics service, KK Women's and Children's Hospital, Singapore, Singapore
  • 11 Division of Nursing - Nursing Specialist Services, KK Women's and Children's Hospital, Singapore, Singapore
  • 12 Division of Human Genetics, Center for Biomedical Research, Faculty of Medicine, Diponegoro University, Semarang, Indonesia
  • 13 Division of Human Genetics, Civil Service Hospital, Kathmandu, Nepal
  • 14 Institut Jérôme Lejeune, Paris, France
  • 15 College of Medicine and Pharmacy, School of Medicine and Pharmacy, Center of Human Genetics, University of Rwanda, Kigali, Rwanda
  • 16 Department of Pediatrics, Faculty of Clinical Sciences, College of Medicine, University of Lagos, Lagos, Nigeria
  • 17 Department of Medicine, Faculty of Clinical Sciences, College of Medicine, University of Lagos, Lagos, Nigeria
  • 18 Servicio de Genética, Hospital Nacional Edgardo Rebagliati Martins, EsSalud, Lima, Peru
  • 19 Department of Paediatrics, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
  • 20 Department of Paediatrics, Hong Kong Children's Hospital, Hong Kong, China
  • 21 Department of Internal Medicine, University of Botswana, Gaborone, Botswana
  • 22 National Secretariat for the Rights of People with Disabilities (SENADIS), Fernando de la Mora, Paraguay
  • 23 Division of Human Genetics, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
  • 24 Servicio de Genética, Hospital de Pediatría Garrahan, Buenos Aires, Argentina
  • 25 Department of Human Cytogenetics, The National Research Centre, Cairo, Egypt
  • 26 Faculty of Women for Science, Ain Shams University, Cairo, Egypt
  • 27 Clinical Genetics Department, The National Research Centre, Cairo, Egypt
  • 28 Department of Paediatrics and Adolescent Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, China
  • 29 Department of Child Health, University of Ghana Medical School, Accra, Ghana
  • 30 Paediatrics Academic Clinical Programme, SingHealth Duke-NUS Genomic Medicine Centre, Singapore, Singapore
  • 31 Center of Excellence for Medical Genomics, Medical Genomics Cluster, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
  • 32 Department of Medical Genetics, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India
  • 33 Hospital for the Rehabilitation of Craniofacial Anomalies, São Paulo University, Bauru, Brazil
Am J Med Genet A, 2020 Feb;182(2):303-313.
PMID: 31854143 DOI: 10.1002/ajmg.a.61461

Abstract

Turner syndrome (TS) is a common multiple congenital anomaly syndrome resulting from complete or partial absence of the second X chromosome. In this study, we explore the phenotype of TS in diverse populations using clinical examination and facial analysis technology. Clinical data from 78 individuals and images from 108 individuals with TS from 19 different countries were analyzed. Individuals were grouped into categories of African descent (African), Asian, Latin American, Caucasian (European descent), and Middle Eastern. The most common phenotype features across all population groups were short stature (86%), cubitus valgus (76%), and low posterior hairline 70%. Two facial analysis technology experiments were conducted: TS versus general population and TS versus Noonan syndrome. Across all ethnicities, facial analysis was accurate in diagnosing TS from frontal facial images as measured by the area under the curve (AUC). An AUC of 0.903 (p < .001) was found for TS versus general population controls and 0.925 (p < .001) for TS versus individuals with Noonan syndrome. In summary, we present consistent clinical findings from global populations with TS and additionally demonstrate that facial analysis technology can accurately distinguish TS from the general population and Noonan syndrome.

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