Kruszka Paul, Addissie Yonit A, McGinn Daniel E, Porras Antonio R, Biggs Elijah, Share Matthew, Crowley T Blaine, Chung Brian H Y, Mok Gary T K, Mak Christopher C Y, Muthukumarasamy Premala, Thong Meow-Keong, Sirisena Nirmala D, Dissanayake Vajira H W, Paththinige C Sampath, Prabodha L B Lahiru, Mishra Rupesh, Shotelersuk Vorasuk, Ekure Ekanem Nsikak, Sokunbi Ogochukwu Jidechukwu, Kalu Nnenna, Ferreira Carlos R, Duncan Jordann-Mishael, Patil Siddaramappa Jagdish, Jones Kelly L, Kaplan Julie D, Abdul-Rahman Omar A, Uwineza Annette, Mutesa Leon, Moresco Angélica, Obregon María Gabriela, Richieri-Costa Antonio, Gil-da-Silva-Lopes Vera L, Adeyemo Adebowale A, Summar Marshall, Zackai Elaine H, McDonald-McGinn Donna M, Linguraru Marius George, Muenke Maximilian
Medical Genetics Branch, National Human Genome Research Institute, The National Institutes of Health, Bethesda, Maryland.
Division of Human Genetics, 22q and You Center, and Clinical Genetics Center, The Children's Hospital of Philadelphia and the Department of Pediatrics at the Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.
Am J Med Genet A. 2017 Apr;173(4):879-888. doi: 10.1002/ajmg.a.38199.
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.
22q11.2缺失综合征(22q11.2 DS)是最常见的微缺失综合征,在不同人群中存在诊断不足的情况。该综合征具有可变的表型,会影响多个系统,因此早期识别至关重要。在本研究中,对来自不同人群的22q11.2 DS个体进行了临床评估和面部分析技术评估。从11个国家的22q11.2 DS个体中收集了106人的临床信息和101人的图像;平均年龄为11.7岁,47%为男性。个体被分为非洲裔(非洲人)、亚洲人和拉丁美洲人类别。我们发现22q11.2 DS的表型在不同人群组中有所不同。只有两项发现,即先天性心脏病和学习问题,在超过50%的参与者中出现。在比较各人群中22q11.2 DS的临床特征时,除学习问题和耳部异常外,每个临床类别的个体比例在统计学上存在差异(P < 0.05)。然而,当将非洲人排除在分析之外时,发现另外六项临床特征与种族无关(P≥0.05)。使用面部分析技术,我们将156名患有22q11.2 DS的白种人、非洲人、亚洲人和拉丁美洲人与156名年龄和性别匹配的对照进行了比较,发现所有人群的敏感性和特异性均大于96%。总之,我们展示了来自全球22q11.2 DS人群的不同发现,并证明了面部分析技术如何能够帮助临床医生准确诊断22q11.2 DS。这项工作将有助于在全球范围内更早地检测和提高对22q11.2 DS的认识。