TY - JOUR
T1 - Cornelia de Lange syndrome in diverse populations
AU - Dowsett, Leah
AU - Porras, Antonio R.
AU - Kruszka, Paul
AU - Davis, Brandon
AU - Hu, Tommy
AU - Honey, Engela
AU - Badoe, Eben
AU - Thong, Meow Keong
AU - Leon, Eyby
AU - Girisha, Katta M.
AU - Shukla, Anju
AU - Nayak, Shalini S.
AU - Shotelersuk, Vorasuk
AU - Megarbane, Andre
AU - Phadke, Shubha
AU - Sirisena, Nirmala D.
AU - Dissanayake, Vajira H.W.
AU - Ferreira, Carlos R.
AU - Kisling, Monisha S.
AU - Tanpaiboon, Pranoot
AU - Uwineza, Annette
AU - Mutesa, Leon
AU - Tekendo-Ngongang, Cedrik
AU - Wonkam, Ambroise
AU - Fieggen, Karen
AU - Batista, Leticia Cassimiro
AU - Moretti-Ferreira, Danilo
AU - Stevenson, Roger E.
AU - Prijoles, Eloise J.
AU - Everman, David
AU - Clarkson, Kate
AU - Worthington, Jessica
AU - Kimonis, Virginia
AU - Hisama, Fuki
AU - Crowe, Carol
AU - Wong, Paul
AU - Johnson, Kisha
AU - Clark, Robin D.
AU - Bird, Lynne
AU - Masser-Frye, Diane
AU - McDonald, Marie
AU - Willems, Patrick
AU - Roeder, Elizabeth
AU - Saitta, Sulgana
AU - Anyane-Yeoba, Kwame
AU - Demmer, Laurie
AU - Hamajima, Naoki
AU - Stark, Zornitza
AU - Gillies, Greta
AU - Hudgins, Louanne
AU - Dave, Usha
AU - Shalev, Stavit
AU - Siu, Victoria
AU - Ades, Ann
AU - Dubbs, Holly
AU - Raible, Sarah
AU - Kaur, Maninder
AU - Salzano, Emanuela
AU - Jackson, Laird
AU - Deardorff, Matthew
AU - Kline, Antonie
AU - Summar, Marshall
AU - Muenke, Maximilian
AU - Linguraru, Marius George
AU - Krantz, Ian D.
N1 - Funding Information:
information CdLS Center Endowed Funds, Children's Hospital of Philadelphia; Chulalongkorn Academic Advancement Into Its 2nd Century Project; Division of Intramural Research, National Human Genome Research, NIH; Government of Abu Dhabi; National Institute of Child Health and Human Development, Grant/Award Number: PO1/HD052860; National Institute of General Medical Sciences, Grant/Award Number: T32/GM008638; PKS Italia; PKSKids USA; Thailand Research FundWe are grateful to all of the patients and their families for their participation in this study. PK and MM are supported by the Division of Intramural Research at the National Human Genome Research, NIH. Partial funding of this project was from a philanthropic gift from the Government of Abu Dhabi to the Children's National Health System. VS is supported by the Chulalongkorn Academic Advancement Into Its 2nd Century Project and the Thailand Research Fund. We would also like to acknowledge other clinicians who supported this work—MZ, JP, and GC. We would like to acknowledge that IDK, LD, MK, and SR are supported by the CdLS Center Endowed Funds at The Children's Hospital of Philadelphia and PO1 HD052860 from the NICHD. ES is supported by a fellowship from PKS Italia and PKSKids USA. LD was also supported by a postdoctoral training grant (T32 GM008638) from the NIGMS.
Publisher Copyright:
© 2019 Wiley Periodicals, Inc.
PY - 2019/2/1
Y1 - 2019/2/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85059567502&partnerID=8YFLogxK
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U2 - 10.1002/ajmg.a.61033
DO - 10.1002/ajmg.a.61033
M3 - Article
C2 - 30614194
AN - SCOPUS:85059567502
SN - 1552-4825
VL - 179
SP - 150
EP - 158
JO - American Journal of Medical Genetics, Part A
JF - American Journal of Medical Genetics, Part A
IS - 2
ER -