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DOI 10.1002/ajmg.a.62989

Медицинская библиотека · American journal of medical genetics. Part A · 2022

Retrospective evaluation of clinical and molecular data of 148 cases of esophageal atresia.

Ranza Emmanuelle, Le Gouez Morgane, Guimier Anne, Dunlop Naziha Khen, Beaudoin Sylvie, Malan Valérie, Michot Caroline, Baujat Geneviève, Rio Marlène, Cormier-Daire Valérie, Abadie Véronique, Sarnacki Sabine, Delacourt Christophe, Lyonnet Stanislas, Attié-Bitach Tania, Pingault Véronique, Rousseau Véronique, Amiel Jeanne

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Аннотация

Developmental abnormalities provide a unique opportunity to seek for the molecular mechanisms underlying human organogenesis. Esophageal development remains incompletely understood and elucidating causes for esophageal atresia (EA) in humans would contribute to achieve a better comprehension. Prenatal detection, syndromic classification, molecular diagnosis, and prognostic factors in EA are challenging. Some syndromes have been described to frequently include EA, such as CHARGE, EFTUD2-mandibulofacial dysostosis, Feingold syndrome, trisomy 18, and Fanconi anemia. However, no molecular diagnosis is made in most cases, including frequent associations, such as Vertebral-Anal-Cardiac-Tracheo-Esophageal-Renal-Limb defects (VACTERL). This study evaluates the clinical and genetic test results of 139 neonates and 9 fetuses followed-up at the Necker-Enfants Malades Hospital over a 10-years period. Overall, 52 cases were isolated EA (35%), and 96 were associated with other anomalies (65%). The latter group is divided into three subgroups: EA with a known genomic cause (9/148, 6%); EA with Vertebral-Anal-Cardiac-Tracheo-Esophageal-Renal-Limb defects (VACTERL) or VACTERL/Oculo-Auriculo-Vertebral Dysplasia (VACTERL/OAV) (22/148, 14%); EA with associated malformations including congenital heart defects, duodenal atresia, and diaphragmatic hernia without known associations or syndromes yet described (65/148, 44%). Altogether, the molecular diagnostic rate remains very low and may underlie frequent non-Mendelian genetic models.

Для цитирования: Ranza Emmanuelle, Le Gouez Morgane, Guimier Anne, Dunlop Naziha Khen, Beaudoin Sylvie, Malan Valérie, Michot Caroline, Baujat Geneviève, Rio Marlène, Cormier-Daire Valérie, Abadie Véronique, Sarnacki Sabine, Delacourt Christophe, Lyonnet Stanislas, Attié-Bitach Tania, Pingault Véronique, Rousseau Véronique, Amiel Jeanne. Retrospective evaluation of clinical and molecular data of 148 cases of esophageal atresia.. American journal of medical genetics. Part A. 2022. DOI: 10.1002/ajmg.a.62989.

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