22q11.2 deletion syndrome in diverse populations

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.

Down syndrome in diverse populations

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.

Evaluation of 22q11.2 deletion in Cleft Palate patients

BACKGROUND

Cleft palate is the commonest multifactorial epigenetic disorder with a prevalence of 0.43-2.45 per 1000. The objectives of this study were to evaluate the clinical features and identify the 22q11.2 deletion in patients with cleft palate in Sri Lanka.

MATERIALS AND METHODS

Cleft patients attending a Teaching Hospital in Sri Lanka were recruited for this study. The relevant data were obtained from review of case notes, interviews, and examination of patients according to a standard evaluation sheet. Quantitative multiplex polymerase chain reaction (PCR) was performed to identify the 22q11.2 deletion. A gel documentation system (Bio-Doc) was used to quantify the PCR product following electrophoresis on 0.8% agarose gel.

RESULTS AND CONCLUSION

There were 162 cleft palate patients of whom 59% were females. A total of 92 cleft palate subjects (56.2%) had other associated clinical features. Dysmorphic features (25.27%) and developmental delays (25.27%) were the commonest medical problems encountered. The cleft was limited to the soft palate in 125 patients, while in 25 patients it involved both the hard and the soft palate. There were seven subjects with bifid uvula and five subjects with submucous cleft palate. None of the patients had 22q11.2 deletion in this study population. A multicentered large population-based study is needed to confirm the results of this study and to develop guidelines on the appropriate use of 22q11.2 deletion testing, which are valid for cleft palate patients in Sri Lanka.