Williams–Beuren syndrome in diverse populations

dc.contributor.authorKruszka, Paul.
dc.contributor.authorPorras, Antonio R.
dc.contributor.authorDe Souza, Deise Helena
dc.contributor.authorMoresco, Angélica
dc.contributor.authorHuckstadt, Victoria
dc.contributor.authorGill, Ashleigh D.
dc.contributor.authorBoyle, Alec P.
dc.contributor.authorHu, Tommy
dc.contributor.authorAddissie, Yonit A.
dc.contributor.authorMok, Gary T.K.
dc.contributor.authorTekendo-Ngongang, Cedrik
dc.contributor.authorFieggen, Karen
dc.contributor.authorPrijoles, E.J.
dc.contributor.authorTanpaiboon, Pranoot
dc.contributor.authorHoney, Engela M.
dc.contributor.authorEl Ruby, Mona O.
dc.contributor.authorHo-Ming, Luk
dc.contributor.authorLo, Ivan F.M.
dc.contributor.authorThong, Meow-Keong
dc.contributor.authorMuthukumarasamy, Premala
dc.contributor.authorJones, Kelly L.
dc.contributor.authorBelhassan, Khadija
dc.contributor.authorOuldim, Karim
dc.contributor.authorEl Bouchikhi, Ihssane
dc.contributor.authorBouguenouch, Laila
dc.contributor.authorShukla, Anju
dc.contributor.authorGirisha, Katta M.
dc.contributor.authorSirisena, Nirmala D.
dc.contributor.authorDissanayake, Vajira H.W.
dc.contributor.authorPaththinige, C. Sampath
dc.contributor.authorMishra, Rupesh
dc.contributor.authorKisling, Monisha S.
dc.contributor.authorFerreira, Carlos R.
dc.contributor.authorDe Herreros, María Beatriz
dc.contributor.authorLee, Ni-Chung
dc.contributor.authorJamuar, Saumya S.
dc.contributor.authorLai, Angeline
dc.contributor.authorShien, Tan Ee
dc.contributor.authorLim, Jiin Ying
dc.contributor.authorWen-Min, Cham Breana
dc.contributor.authorGupta, Neerja
dc.contributor.authorLotz-Esquivel, Stephanie
dc.contributor.authorBadilla-Porras, Ramsés
dc.contributor.authorHussen, Dalia Farouk
dc.contributor.authorEl Ruby, Mona O.
dc.contributor.authorAshaat, Engy A.
dc.contributor.authorPatil, Siddaramappa J.
dc.contributor.authorDowsett, Leah
dc.contributor.authorEaton, Alison
dc.contributor.authorInnes, A.Micheil
dc.contributor.authorShotelersuk, Vorasuk
dc.contributor.authorBadoe, Ëben
dc.contributor.authorWonkam, Ambroise
dc.contributor.authorObregon, María Gabriela
dc.contributor.authorChung, Brian H.Y.
dc.contributor.authorTrubnykova, Milana
dc.contributor.authorLa Serna, Jorge
dc.contributor.authorGallardo Jugo, Bertha Elena
dc.contributor.authorChávez Pastor, Miguel
dc.contributor.authorAbarca Barrig, Hugo Hernán
dc.contributor.authorMegarbane, Andre
dc.contributor.authorKozel, Beth A.
dc.contributor.authorStevenson, Roger E.
dc.contributor.authorSummar, Marshall
dc.contributor.authorAdeyemo, Adeyemo A.
dc.contributor.authorMorris, Colleen A.
dc.contributor.authorMoretti-Ferreira, Danilo
dc.contributor.authorLinguraru, Marius George
dc.contributor.authorMuenke, Maximilian
dc.date.accessioned2018-05-17T10:17:02Z
dc.date.issued2018-05
dc.description.abstractWilliams–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.en_ZA
dc.description.departmentGeneticsen_ZA
dc.description.embargo2019-05-01
dc.description.librarianhj2018en_ZA
dc.description.sponsorshipPartial funding of this project was from a philanthropic gift from the Government of Abu Dhabi to the Children’s National Health System. V.S. is supported by the Chulalong-korn Academic Advancement into its 2nd century project.en_ZA
dc.description.urihttp://wileyonlinelibrary.com/journal/ajmgaen_ZA
dc.identifier.citationKruszka P, Porras AR, de Souza DH, et al. Williams–Beuren syndrome in diverse populations. American Journal of Medical Genetics, Part A. 2018;176A:1128–1136. https://doi.org/10.1002/ajmg.a.38672.en_ZA
dc.identifier.issn1552-4825 (print)
dc.identifier.issn1552-4833 (online)
dc.identifier.other10.1002/ajmg.a.38672
dc.identifier.urihttp://hdl.handle.net/2263/64960
dc.language.isoenen_ZA
dc.publisherWileyen_ZA
dc.rights© 2018 Wiley Periodicals Inc. This is the pre-peer reviewed version of the following article : 'Williams–Beuren syndrome in diverse populations', American Journal of Medical Genetics, Part A. vol 176A, no. 5, pp 1128–1136, 2018. doi : 10.1002/ajmg.a.38672. The definite version is available at : http://wileyonlinelibrary.com/journal/ajmga.en_ZA
dc.subjectWilliams–Beuren syndrome (WBS)en_ZA
dc.subjectSyndromeen_ZA
dc.subjectMiddle Easten_ZA
dc.subjectLatin Americaen_ZA
dc.subjectFacial analysis technologyen_ZA
dc.subjectDiverse populationsen_ZA
dc.subjectAsiaen_ZA
dc.subjectAfricaen_ZA
dc.titleWilliams–Beuren syndrome in diverse populationsen_ZA
dc.typePostprint Articleen_ZA

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