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Williams–Beuren syndrome in diverse populations

  • Paul Kruszka(corresponding author)
    ,
  • Antonio R. Porras
    ,
  • Deise Helena de Souza
    ,
  • Angélica Moresco
    ,
  • Victoria Huckstadt
    ,
  • Ashleigh D. Gill
*Corresponding author for this work
  • National Human Genome Research Institute (NHGRI)
    ,
  • Children's National Health System
    ,
  • São Paulo State University (UNESP)
    ,
  • Hospital de Pediatría Garrahan
    ,
  • The University of Hong Kong Li Ka Shing Faculty of Medicine
    ,
  • University of Cape Town
Research Output:
Contribution to journal
Article
Peer-review

Open access

Publication Information

Output type

Research Output:
Contribution to journal
Article
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 1128-1136 (9 pages)

Journal (Volume, Issue Number)

American Journal of Medical Genetics, Part A (Volume 176, Issue 5)

Publication milestones

  • Published - 05/2018

Publication status

Published - 05/2018

ISSN

1552-4825

Publication IDs

  • Scopus: 85045847358
  • PubMed: 29681090

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.

Funding Details

We are grateful to the individuals and their families who participated in our study. P.K., Y.A.A, A.D.G., T.H., A.A.A., and M.M. are supported by the Division of Intramural Research at the National Human Genome Research Institute, NIH. Partial 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.
FundersFunding numbers
Chulalong-korn Academic Advancement
-
Division of Intramural Research
-
NIH
-
NHLBI
ZIAHL006210
NHGRI
-

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