KBG syndrome: videoconferencing and use of artificial intelligence driven facial phenotyping in 25 new patients.
KBG syndrome: videoconferencing and use of artificial intelligence driven facial phenotyping in 25 new patients.
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DOI：
10.1038/s41431-022-01171-1
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发表时间：
2022-11
期刊：
影响因子：
--
通讯作者：
中科院分区：
文献类型：
--
作者：
Genetic variants in Ankyrin Repeat Domain 11 (ANKRD11) and deletions in 16q24.3 are known to cause KBG syndrome, a rare syndrome associated with craniofacial, intellectual, and neurobehavioral anomalies. We report 25 unpublished individuals from 22 families with molecularly confirmed diagnoses. Twelve individuals have de novo variants, three have inherited variants, and one is inherited from a parent with low-level mosaicism. The mode of inheritance was unknown for nine individuals. Twenty are truncating variants, and the remaining five are missense (three of which are found in one family). We present a protocol emphasizing the use of videoconference and artificial intelligence (AI) in collecting and analyzing data for this rare syndrome. A single clinician interviewed 25 individuals throughout eight countries. Participants’ medical records were reviewed, and data was uploaded to the Human Disease Gene website using Human Phenotype Ontology (HPO) terms. Photos of the participants were analyzed by the GestaltMatcher and DeepGestalt, Face2Gene platform (FDNA Inc, USA) algorithms. Within our cohort, common traits included short stature, macrodontia, anteverted nares, wide nasal bridge, wide nasal base, thick eyebrows, synophrys and hypertelorism. Behavioral issues and global developmental delays were widely present. Neurologic abnormalities including seizures and/or EEG abnormalities were common (44%), suggesting that early detection and seizure prophylaxis could be an important point of intervention. Almost a quarter (24%) were diagnosed with attention deficit hyperactivity disorder and 28% were diagnosed with autism spectrum disorder. Based on the data, we provide a set of recommendations regarding diagnostic and treatment approaches for KBG syndrome.
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影响因子：
7.3
作者：
Gao J;Aksoy BA;Dogrusoz U;Dresdner G;Gross B;Sumer SO;Sun Y;Jacobsen A;Sinha R;Larsson E;Cerami E;Sander C;Schultz N
通讯作者：
Schultz N
影响因子：
64.8
作者：
Iossifov, Ivan;O'Roak, Brian J.;Sanders, Stephan J.;Ronemus, Michael;Krumm, Niklas;Levy, Dan;Stessman, Holly A.;Witherspoon, Kali T.;Vives, Laura;Patterson, Karynne E.;Smith, Joshua D.;Paeper, Bryan;Nickerson, Deborah A.;Dea, Jeanselle;Dong, Shan;Gonzalez, Luis E.;Mandell, Jeffrey D.;Mane, Shrikant M.;Murtha, Michael T.;Sullivan, Catherine A.;Walker, Michael F.;Waqar, Zainulabedin;Wei, Liping;Willsey, A. Jeremy;Yamrom, Boris;Lee, Yoon-ha;Grabowska, Ewa;Dalkic, Ertugrul;Wang, Zihua;Marks, Steven;Andrews, Peter;Leotta, Anthony;Kendall, Jude;Hakker, Inessa;Rosenbaum, Julie;Ma, Beicong;Rodgers, Linda;Troge, Jennifer;Narzisi, Giuseppe;Yoon, Seungtai;Schatz, Michael C.;Ye, Kenny;McCombie, W. Richard;Shendure, Jay;Eichler, Evan E.;State, Matthew W.;Wigler, Michael
通讯作者：
Wigler, Michael
影响因子：
30.8
作者：
Kircher, Martin;Witten, Daniela M.;Jain, Preti;O'Roak, Brian J.;Cooper, Gregory M.;Shendure, Jay
通讯作者：
Shendure, Jay
影响因子：
8.8
作者：
Hsieh, Tzung-Chien;Mensah, Martin A.;Krawitz, Peter M.
通讯作者：
Krawitz, Peter M.
DOI：
10.1002/ajmg.a.62057
发表时间：
2021-04
期刊：
American journal of medical genetics. Part A
影响因子：
--
作者：
Dingemans AJM;Stremmelaar DE;Vissers LELM;Jansen S;Nabais Sá MJ;van Remortele A;Jonis N;Truijen K;van de Ven S;Ewals J;Verbruggen M;Koolen DA;Brunner HG;Eichler EE;Gecz J;de Vries BBA
通讯作者：
de Vries BBA