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American journal of medical genetics. Part A · 2022

Identifying phenotypic expansions for congenital diaphragmatic hernia plus (CDH+) using DECIPHER data.

СтатьяПоддержка исследования: вне правительства СШАПоддержка NIH: внешняя программаНазвание и аннотация: Перевод в очереди
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Hardcastle Amy, Berry Aliska M, Campbell Ian M, Zhao Xiaonan, Liu Pengfei, Gerard Amanda E, Rosenfeld Jill A, Sisoudiya Saumya D, Hernandez-Garcia Andres, Loddo Sara, Di Tommaso Silvia, Novelli Antonio, Dentici Maria L, Capolino Rossella, Digilio Maria C, Graziani Ludovico, Rustad Cecilie F, Neas Katherine, Ferrero Giovanni B, Brusco Alfredo, Di Gregorio Eleonora, Wellesley Diana, Beneteau Claire, Joubert Madeleine, Van Den Bogaert Kris, Boogaerts Anneleen, McMullan Dominic J, Dean John, Giuffrida Maria G, Bernardini Laura, Varghese Vinod, Shannon Nora L, Harrison Rachel E, Lam Wayne W K, McKee Shane, Turnpenny Peter D, Cole Trevor, Morton Jenny, Eason Jacqueline, Jones Marilyn C, Hall Rebecca, Wright Michael, Horridge Karen, Shaw Chad A, Chung Wendy K, Scott Daryl A

Аннотация

Congenital diaphragmatic hernia (CDH) can occur in isolation or in conjunction with other birth defects (CDH+). A molecular etiology can only be identified in a subset of CDH cases. This is due, in part, to an incomplete understanding of the genes that contribute to diaphragm development. Here, we used clinical and molecular data from 36 individuals with CDH+ who are cataloged in the DECIPHER database to identify genes that may play a role in diaphragm development and to discover new phenotypic expansions. Among this group, we identified individuals who carried putatively deleterious sequence or copy number variants affecting CREBBP, SMARCA4, UBA2, and USP9X. The role of these genes in diaphragm development was supported by their expression in the developing mouse diaphragm, their similarity to known CDH genes using data from a previously published and validated machine learning algorithm, and/or the presence of CDH in other individuals with their associated genetic disorders. Our results demonstrate how data from DECIPHER, and other public databases, can be used to identify new phenotypic expansions and suggest that CREBBP, SMARCA4, UBA2, and USP9X play a role in diaphragm development.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты