| Literature DB >> 29681090 |
Paul Kruszka1, Antonio R Porras2, Deise Helena de Souza3, Angélica Moresco4, Victoria Huckstadt4, Ashleigh D Gill1, Alec P Boyle2, Tommy Hu1, Yonit A Addissie1, Gary T K Mok5, Cedrik Tekendo-Ngongang6, Karen Fieggen6, Eloise J Prijoles7, Pranoot Tanpaiboon8, Engela Honey9, Ho-Ming Luk10, Ivan F M Lo10, Meow-Keong Thong11, Premala Muthukumarasamy11, Kelly L Jones12, Khadija Belhassan1,13, Karim Ouldim13, Ihssane El Bouchikhi13,14, Laila Bouguenouch13, Anju Shukla15, Katta M Girisha15, Nirmala D Sirisena16, Vajira H W Dissanayake16, C Sampath Paththinige16, Rupesh Mishra16, Monisha S Kisling8, Carlos R Ferreira8, María Beatriz de Herreros17, Ni-Chung Lee18, Saumya S Jamuar19, Angeline Lai19, Ee Shien Tan19, Jiin Ying Lim19, Cham Breana Wen-Min19, Neerja Gupta20, Stephanie Lotz-Esquivel21, Ramsés Badilla-Porras22, Dalia Farouk Hussen23, Mona O El Ruby24, Engy A Ashaat24, Siddaramappa J Patil25, Leah Dowsett26, Alison Eaton27, A Micheil Innes27, Vorasuk Shotelersuk28, Ëben Badoe29, Ambroise Wonkam6, María Gabriela Obregon4, Brian H Y Chung5, Milana Trubnykova30, Jorge La Serna30, Bertha Elena Gallardo Jugo30, Miguel Chávez Pastor30, Hugo Hernán Abarca Barriga30, Andre Megarbane31, Beth A Kozel32, Mieke M van Haelst33, Roger E Stevenson7, Marshall Summar8, A Adebowale Adeyemo34, Colleen A Morris35, Danilo Moretti-Ferreira3, Marius George Linguraru2, Maximilian Muenke1.
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.Entities:
Keywords: Africa; Asia; Latin America; Middle East; Williams; Williams-Beuren; diverse populations; facial analysis technology; syndrome
Mesh:
Year: 2018 PMID: 29681090 PMCID: PMC6007881 DOI: 10.1002/ajmg.a.38672
Source DB: PubMed Journal: Am J Med Genet A ISSN: 1552-4825 Impact factor: 2.578