| Literature DB >> 31854143 |
Paul Kruszka1, Yonit A Addissie1, Cedrik Tekendo-Ngongang1, Kelly L Jones2, Sarah K Savage3, Neerja Gupta4, Nirmala D Sirisena5, Vajira H W Dissanayake5, C Sampath Paththinige5, Teresa Aravena6, Sheela Nampoothiri7, Dhanya Yesodharan7, Katta M Girisha8, Siddaramappa Jagdish Patil9, Saumya Shekhar Jamuar10,11,12, Jasmine Chew-Yin Goh13, Agustini Utari14, Nydia Sihombing14, Rupesh Mishra15, Neer Shoba Chitrakar15, Brenda C Iriele1, Ezana Lulseged1, Andre Megarbane16, Annette Uwineza17, Elizabeth Eberechi Oyenusi18, Oluwarotimi Bolaji Olopade19, Olufemi Adetola Fasanmade19, Milagros M Duenas-Roque20, Meow-Keong Thong21, Joanna Y L Tung22, Gary T K Mok22, Nicole Fleischer3, Godfrey M Rwegerera23, María Beatriz de Herreros24, Johnathan Watts25, Karen Fieggen25, Victoria Huckstadt26, Angélica Moresco26, María Gabriela Obregon26, Dalia Farouk Hussen27, Neveen A Ashaat28, Engy A Ashaat29, Brian H Y Chung30, Eben Badoe31, Sultana M H Faradz12, Mona O El Ruby29, Vorasuk Shotelersuk32, Ambroise Wonkam25, Ekanem Nsikak Ekure18, Shubha R Phadke33, Antonio Richieri-Costa34, Maximilian Muenke1.
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. Published 2019. This article is a U.S. Government work and is in the public domain in the USA.Entities:
Keywords: Turner syndrome; diverse populations; facial analysis technology; health disparities
Mesh:
Year: 2019 PMID: 31854143 PMCID: PMC8141514 DOI: 10.1002/ajmg.a.61461
Source DB: PubMed Journal: Am J Med Genet A ISSN: 1552-4825 Impact factor: 2.802