TY - JOUR
T1 - 22q11.2 deletion syndrome in diverse populations
AU - Kruszka, Paul
AU - Addissie, Yonit A.
AU - McGinn, Daniel E.
AU - Porras, Antonio R.
AU - Biggs, Elijah
AU - Share, Matthew
AU - Crowley, T. Blaine
AU - Chung, Brian H.Y.
AU - Mok, Gary T.K.
AU - Mak, Christopher C.Y.
AU - Muthukumarasamy, Premala
AU - Thong, Meow Keong
AU - Sirisena, Nirmala D.
AU - Dissanayake, Vajira H.W.
AU - Paththinige, C. Sampath
AU - Prabodha, L. B.Lahiru
AU - Mishra, Rupesh
AU - Shotelersuk, Vorasuk
AU - Ekure, Ekanem Nsikak
AU - Sokunbi, Ogochukwu Jidechukwu
AU - Kalu, Nnenna
AU - Ferreira, Carlos R.
AU - Duncan, Jordann Mishael
AU - Patil, Siddaramappa Jagdish
AU - Jones, Kelly L.
AU - Kaplan, Julie D.
AU - Abdul-Rahman, Omar A.
AU - Uwineza, Annette
AU - Mutesa, Leon
AU - Moresco, Angélica
AU - Obregon, María Gabriela
AU - Richieri-Costa, Antonio
AU - Gil-da-Silva-Lopes, Vera L.
AU - Adeyemo, Adebowale A.
AU - Summar, Marshall
AU - Zackai, Elaine H.
AU - McDonald-McGinn, Donna M.
AU - Linguraru, Marius George
AU - Muenke, Maximilian
N1 - Funding Information:
We are grateful to the individuals and their families who participated in our study. P.K., Y.A.A, A.A.A., and M.M. are supported by the Division of Intramural Research at the National Human Genome Research Institute, NIH. Work contributed by D.M.M., E.H.Z., D.E.M. and T.B.C. was made possible by the support of National Institute of Heath grants R01 MH087636-01A1; PO1-HD070454; and 1U01MH101720-02. We would also like to thank the Chulalongkorn Academic Advancement Into Its 2nd Century Project. Partial funding of this project was from a philanthropic gift from the Government of Abu Dhabi to the Children's National Health System.
Publisher Copyright:
© 2017 Wiley Periodicals, Inc.
PY - 2017/4/1
Y1 - 2017/4/1
N2 - 22q11.2 deletion syndrome (22q11.2 DS) is the most common microdeletion syndrome and is underdiagnosed in diverse populations. This syndrome has a variable phenotype and affects multiple systems, making early recognition imperative. In this study, individuals from diverse populations with 22q11.2 DS were evaluated clinically and by facial analysis technology. Clinical information from 106 individuals and images from 101 were collected from individuals with 22q11.2 DS from 11 countries; average age was 11.7 and 47% were male. Individuals were grouped into categories of African descent (African), Asian, and Latin American. We found that the phenotype of 22q11.2 DS varied across population groups. Only two findings, congenital heart disease and learning problems, were found in greater than 50% of participants. When comparing the clinical features of 22q11.2 DS in each population, the proportion of individuals within each clinical category was statistically different except for learning problems and ear anomalies (P < 0.05). However, when Africans were removed from analysis, six additional clinical features were found to be independent of ethnicity (P ≥ 0.05). Using facial analysis technology, we compared 156 Caucasians, Africans, Asians, and Latin American individuals with 22q11.2 DS with 156 age and gender matched controls and found that sensitivity and specificity were greater than 96% for all populations. In summary, we present the varied findings from global populations with 22q11.2 DS and demonstrate how facial analysis technology can assist clinicians in making accurate 22q11.2 DS diagnoses. This work will assist in earlier detection and in increasing recognition of 22q11.2 DS throughout the world.
AB - 22q11.2 deletion syndrome (22q11.2 DS) is the most common microdeletion syndrome and is underdiagnosed in diverse populations. This syndrome has a variable phenotype and affects multiple systems, making early recognition imperative. In this study, individuals from diverse populations with 22q11.2 DS were evaluated clinically and by facial analysis technology. Clinical information from 106 individuals and images from 101 were collected from individuals with 22q11.2 DS from 11 countries; average age was 11.7 and 47% were male. Individuals were grouped into categories of African descent (African), Asian, and Latin American. We found that the phenotype of 22q11.2 DS varied across population groups. Only two findings, congenital heart disease and learning problems, were found in greater than 50% of participants. When comparing the clinical features of 22q11.2 DS in each population, the proportion of individuals within each clinical category was statistically different except for learning problems and ear anomalies (P < 0.05). However, when Africans were removed from analysis, six additional clinical features were found to be independent of ethnicity (P ≥ 0.05). Using facial analysis technology, we compared 156 Caucasians, Africans, Asians, and Latin American individuals with 22q11.2 DS with 156 age and gender matched controls and found that sensitivity and specificity were greater than 96% for all populations. In summary, we present the varied findings from global populations with 22q11.2 DS and demonstrate how facial analysis technology can assist clinicians in making accurate 22q11.2 DS diagnoses. This work will assist in earlier detection and in increasing recognition of 22q11.2 DS throughout the world.
KW - 22q11.2 Deletion syndrome
KW - DiGeorge syndrome
KW - Velocardiofacial Syndrome
KW - diverse populations
KW - facial analysis technology
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U2 - 10.1002/ajmg.a.38199
DO - 10.1002/ajmg.a.38199
M3 - Article
C2 - 28328118
AN - SCOPUS:85015933718
SN - 1552-4825
VL - 173
SP - 879
EP - 888
JO - American Journal of Medical Genetics, Part A
JF - American Journal of Medical Genetics, Part A
IS - 4
ER -