Circle of Willis anomalies in Turner syndrome: Absent A1 segment of the anterior cerebral artery.

Purpose: Turner syndrome (TS) is the most common sex chromosome disorder in women and is associated with a higher than expected death rate secondary to cerebrovascular disease, including stroke. This study evaluates the cerebral vascular anatomy of individuals with TS. Methods: Twenty-one women with TS had brain magnetic resonance angiography (MRA). These MRAs were evaluated in a blinded manner with a control group of 25 men and 25 women who had MRA imaging for multiple indications including migraine headaches, psychiatric disorders, and seizures. Results: Twenty-nine percent of women with TS were missing an A1 segment of the anterior cerebral artery (ACA) compared to 0% in the control group (p <.001). There were no other significant differences in the circle of Willis (COW) in women with TS compared with the control group. A complete COW was found in 3 of 21 (14%) of women with TS and 12 of 47 (26%) controls (p =.36). Conclusion: Women with TS have a significantly different intracranial vascular anatomy, specifically the absence of the A1 segment of the ACA when compared to male and female controls. More research in brain imaging in women with TS and stroke and other cerebrovascular diseases is needed to determine the clinical significance of this anomaly.National Human Genome Research Institute (Grant 1U01HG007587-01A1

Rubinstein-Taybi syndrome in diverse populations

Rubinstein-Taybi syndrome (RSTS) is an autosomal dominant disorder, caused by loss-of-function variants in CREBBP or EP300. Affected individuals present with distinctive craniofacial features, broad thumbs and/or halluces, and intellectual disability. RSTS phenotype has been well characterized in individuals of European descent but not in other populations. In this study, individuals from diverse populations with RSTS were assessed by clinical examination and facial analysis technology. Clinical data of 38 individuals from 14 different countries were analyzed. The median age was 7 years (age range: 7 months to 47 years), and 63% were females. The most common phenotypic features in all population groups included broad thumbs and/or halluces in 97%, convex nasal ridge in 94%, and arched eyebrows in 92%. Face images of 87 individuals with RSTS (age range: 2 months to 47 years) were collected for evaluation using facial analysis technology. We compared images from 82 individuals with RSTS against 82 age- and sex-matched controls and obtained an area under the receiver operating characteristic curve (AUC) of 0.99 (p < .001), demonstrating excellent discrimination efficacy. The discrimination was, however, poor in the African group (AUC: 0.79; p = .145). Individuals with EP300 variants were more effectively discriminated (AUC: 0.95) compared with those with CREBBP variants (AUC: 0.93). This study shows that clinical examination combined with facial analysis technology may enable earlier and improved diagnosis of RSTS in diverse populations

Williams-Beuren syndrome in diverse populations

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