| Literature DB >> 30614194 |
Leah Dowsett1,2,3,4, Antonio R Porras5, Paul Kruszka6, Brandon Davis6, Tommy Hu6, Engela Honey7, Eben Badoe8, Meow-Keong Thong9, Eyby Leon10, Katta M Girisha11, Anju Shukla11, Shalini S Nayak11, Vorasuk Shotelersuk12, Andre Megarbane13, Shubha Phadke14, Nirmala D Sirisena15, Vajira H W Dissanayake15, Carlos R Ferreira10, Monisha S Kisling10, Pranoot Tanpaiboon10, Annette Uwineza16, Leon Mutesa16, Cedrik Tekendo-Ngongang17, Ambroise Wonkam17, Karen Fieggen17, Leticia Cassimiro Batista18, Danilo Moretti-Ferreira18, Roger E Stevenson19, Eloise J Prijoles19, David Everman19, Kate Clarkson19, Jessica Worthington19, Virginia Kimonis20, Fuki Hisama21, Carol Crowe22, Paul Wong23, Kisha Johnson23, Robin D Clark24, Lynne Bird25,26, Diane Masser-Frye26, Marie McDonald27, Patrick Willems28, Elizabeth Roeder29, Sulgana Saitta30, Kwame Anyane-Yeoba31, Laurie Demmer32, Naoki Hamajima33, Zornitza Stark34, Greta Gillies35, Louanne Hudgins36, Usha Dave37, Stavit Shalev38, Victoria Siu39, Ann Ades2,40, Holly Dubbs41, Sarah Raible1, Maninder Kaur1, Emanuela Salzano1, Laird Jackson1,42, Matthew Deardorff1,2, Antonie Kline43, Marshall Summar10, Maximilian Muenke6, Marius George Linguraru5, Ian D Krantz1,2.
Abstract
Cornelia de Lange syndrome (CdLS) is a dominant multisystemic malformation syndrome due to mutations in five genes-NIPBL, SMC1A, HDAC8, SMC3, and RAD21. The characteristic facial dysmorphisms include microcephaly, arched eyebrows, synophrys, short nose with depressed bridge and anteverted nares, long philtrum, thin lips, micrognathia, and hypertrichosis. Most affected individuals have intellectual disability, growth deficiency, and upper limb anomalies. This study looked at individuals from diverse populations with both clinical and molecularly confirmed diagnoses of CdLS by facial analysis technology. Clinical data and images from 246 individuals with CdLS were obtained from 15 countries. This cohort included 49% female patients and ages ranged from infancy to 37 years. Individuals were grouped into ancestry categories of African descent, Asian, Latin American, Middle Eastern, and Caucasian. Across these populations, 14 features showed a statistically significant difference. The most common facial features found in all ancestry groups included synophrys, short nose with anteverted nares, and a long philtrum with thin vermillion of the upper lip. Using facial analysis technology we compared 246 individuals with CdLS to 246 gender/age matched controls and found that sensitivity was equal or greater than 95% for all groups. Specificity was equal or greater than 91%. In conclusion, we present consistent clinical findings from global populations with CdLS while demonstrating how facial analysis technology can be a tool to support accurate diagnoses in the clinical setting. This work, along with prior studies in this arena, will assist in earlier detection, recognition, and treatment of CdLS worldwide.Entities:
Keywords: CdLS; Cornelia de Lange syndrome; NIPBL; diverse populations; facial analysis technology; underrepresented minorities
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Year: 2019 PMID: 30614194 PMCID: PMC6367950 DOI: 10.1002/ajmg.a.61033
Source DB: PubMed Journal: Am J Med Genet A ISSN: 1552-4825 Impact factor: 2.802