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Turner syndrome in diverse populations.

Authors :
Kruszka P
Addissie YA
Tekendo-Ngongang C
Jones KL
Savage SK
Gupta N
Sirisena ND
Dissanayake VHW
Paththinige CS
Aravena T
Nampoothiri S
Yesodharan D
Girisha KM
Patil SJ
Jamuar SS
Goh JC
Utari A
Sihombing N
Mishra R
Chitrakar NS
Iriele BC
Lulseged E
Megarbane A
Uwineza A
Oyenusi EE
Olopade OB
Fasanmade OA
Duenas-Roque MM
Thong MK
Tung JYL
Mok GTK
Fleischer N
Rwegerera GM
de Herreros MB
Watts J
Fieggen K
Huckstadt V
Moresco A
Obregon MG
Hussen DF
Ashaat NA
Ashaat EA
Chung BHY
Badoe E
Faradz SMH
El Ruby MO
Shotelersuk V
Wonkam A
Ekure EN
Phadke SR
Richieri-Costa A
Muenke M
Source :
American journal of medical genetics. Part A [Am J Med Genet A] 2020 Feb; Vol. 182 (2), pp. 303-313. Date of Electronic Publication: 2019 Dec 19.
Publication Year :
2020

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.<br /> (Published 2019. This article is a U.S. Government work and is in the public domain in the USA.)

Details

Language :
English
ISSN :
1552-4833
Volume :
182
Issue :
2
Database :
MEDLINE
Journal :
American journal of medical genetics. Part A
Publication Type :
Academic Journal
Accession number :
31854143
Full Text :
https://doi.org/10.1002/ajmg.a.61461