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2 results on '"Sokunbi, OJ"'

1. Down syndrome in diverse populations.

Author

Kruszka P, Porras AR, Sobering AK, Ikolo FA, La Qua S, Shotelersuk V, Chung BH, Mok GT, Uwineza A, Mutesa L, Moresco A, Obregon MG, Sokunbi OJ, Kalu N, Joseph DA, Ikebudu D, Ugwu CE, Okoromah CA, Addissie YA, Pardo KL, Brough JJ, Lee NC, Girisha KM, Patil SJ, Ng IS, Min BC, Jamuar SS, Tibrewal S, Wallang B, Ganesh S, Sirisena ND, Dissanayake VH, Paththinige CS, Prabodha LB, Richieri-Costa A, Muthukumarasamy P, Thong MK, Jones KL, Abdul-Rahman OA, Ekure EN, Adeyemo AA, Summar M, Linguraru MG, and Muenke M

Subjects
Adolescent, Adult, Biomarkers, Case-Control Studies, Child, Child, Preschool, Down Syndrome genetics, Female, Humans, Infant, Infant, Newborn, Male, Population Groups genetics, Sensitivity and Specificity, Young Adult, Down Syndrome diagnosis, Down Syndrome epidemiology, Facies, Genetic Association Studies, Phenotype, Population Groups statistics & numerical data, Population Surveillance
Abstract

Down syndrome is the most common cause of cognitive impairment and presents clinically with universally recognizable signs and symptoms. In this study, we focus on exam findings and digital facial analysis technology in individuals with Down syndrome in diverse populations. Photos and clinical information were collected on 65 individuals from 13 countries, 56.9% were male and the average age was 6.6 years (range 1 month to 26 years; SD = 6.6 years). Subjective findings showed that clinical features were different across ethnicities (Africans, Asians, and Latin Americans), including brachycephaly, ear anomalies, clinodactyly, sandal gap, and abundant neck skin, which were all significantly less frequent in Africans (P < 0.001, P < 0.001, P < 0.001, P < 0.05, and P < 0.05, respectively). Evaluation using a digital facial analysis technology of a larger diverse cohort of newborns to adults (n = 129 cases; n = 132 controls) was able to diagnose Down syndrome with a sensitivity of 0.961, specificity of 0.924, and accuracy of 0.943. Only the angles at medial canthus and ala of the nose were common significant findings amongst different ethnicities (Caucasians, Africans, and Asians) when compared to ethnically matched controls. The Asian group had the least number of significant digital facial biometrics at 4, compared to Caucasians at 8 and Africans at 7. In conclusion, this study displays the wide variety of findings across different geographic populations in Down syndrome and demonstrates the accuracy and promise of digital facial analysis technology in the diagnosis of Down syndrome internationally. © 2016 Wiley Periodicals, Inc., (© 2016 Wiley Periodicals, Inc.)

Published
2017
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2. 22q11.2 Deletion Syndrome in Diverse Populations

Author

Muthukumarasamy, P, Muenke, M, Linguraru, MG, Kruszka, P, Addissie, YA, McGinn, DE, Porras, AR, Biggs, E, Share, M, Crowley, TB, Kaplan, JD, Chung, BHY, Abdul-Rahman, OA, Uwineza, A, Mok, TKG, MAK, CCY, Mutesa, L, Moresco, A, Obregon, MG, Richieri-Costa, A, Zackai, EH, Summar, M, McDonald-McGinn, DM, Adeyemo, AA, Gil-da-Silva-Lopes, VL, Thong, MK, Siriseria, ND, Dissanayake, VHW, Paththinige, CS, Prabodha, LBL, Mishra, R, Shotelersuk, V, Ekure, EN, Sokunbi, OJ, Kalu, N, Ferreira, CR, Duncan, JM, Patil, SJ, and Jones, KL

Subjects
Adult, Heart Defects, Congenital, Male, Adolescent, Learning Disabilities, Chromosomes, Human, Pair 22, Infant, Newborn, Black People, Facies, Infant, Hispanic or Latino, Article, White People, Phenotype, Asian People, Biometric Identification, Child, Preschool, Image Interpretation, Computer-Assisted, DiGeorge Syndrome, Humans, Female, Child, human activities, In Situ Hybridization, Fluorescence
Abstract

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.

Published
2017

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