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Williams-Beuren syndrome in diverse populations.

Authors :
Kruszka P
Porras AR
de Souza DH
Moresco A
Huckstadt V
Gill AD
Boyle AP
Hu T
Addissie YA
Mok GTK
Tekendo-Ngongang C
Fieggen K
Prijoles EJ
Tanpaiboon P
Honey E
Luk HM
Lo IFM
Thong MK
Muthukumarasamy P
Jones KL
Belhassan K
Ouldim K
El Bouchikhi I
Bouguenouch L
Shukla A
Girisha KM
Sirisena ND
Dissanayake VHW
Paththinige CS
Mishra R
Kisling MS
Ferreira CR
de Herreros MB
Lee NC
Jamuar SS
Lai A
Tan ES
Ying Lim J
Wen-Min CB
Gupta N
Lotz-Esquivel S
Badilla-Porras R
Hussen DF
El Ruby MO
Ashaat EA
Patil SJ
Dowsett L
Eaton A
Innes AM
Shotelersuk V
Badoe Ë
Wonkam A
Obregon MG
Chung BHY
Trubnykova M
La Serna J
Gallardo Jugo BE
Chávez Pastor M
Abarca Barriga HH
Megarbane A
Kozel BA
van Haelst MM
Stevenson RE
Summar M
Adeyemo AA
Morris CA
Moretti-Ferreira D
Linguraru MG
Muenke M
Source :
American journal of medical genetics. Part A [Am J Med Genet A] 2018 May; Vol. 176 (5), pp. 1128-1136.
Publication Year :
2018

Abstract

Williams-Beuren syndrome (WBS) is a common microdeletion syndrome characterized by a 1.5Mb deletion in 7q11.23. The phenotype of WBS has been well described in populations of European descent with not as much attention given to other ethnicities. In this study, individuals with WBS from diverse populations were assessed clinically and by facial analysis technology. Clinical data and images from 137 individuals with WBS were found in 19 countries with an average age of 11 years and female gender of 45%. The most common clinical phenotype elements were periorbital fullness and intellectual disability which were present in greater than 90% of our cohort. Additionally, 75% or greater of all individuals with WBS had malar flattening, long philtrum, wide mouth, and small jaw. Using facial analysis technology, we compared 286 Asian, African, Caucasian, and Latin American individuals with WBS with 286 gender and age matched controls and found that the accuracy to discriminate between WBS and controls was 0.90 when the entire cohort was evaluated concurrently. The test accuracy of the facial recognition technology increased significantly when the cohort was analyzed by specific ethnic population (P-value < 0.001 for all comparisons), with accuracies for Caucasian, African, Asian, and Latin American groups of 0.92, 0.96, 0.92, and 0.93, respectively. In summary, we present consistent clinical findings from global populations with WBS and demonstrate how facial analysis technology can support clinicians in making accurate WBS diagnoses.<br /> (© 2018 Wiley Periodicals, Inc.)

Details

Language :
English
ISSN :
1552-4833
Volume :
176
Issue :
5
Database :
MEDLINE
Journal :
American journal of medical genetics. Part A
Publication Type :
Academic Journal
Accession number :
29681090
Full Text :
https://doi.org/10.1002/ajmg.a.38672