| Literature DB >> 33403770 |
Ikhlas Ben Ayed1,2,3, Wael Ouarda4, Fakher Frikha5, Fatma Kammoun6,7, Amal Souissi1, Mariem Ben Said1, Amal Bouzid1, Ines Elloumi1, Tarak M Hamdani4, Nourhene Gharbi2,3, Nesrine Baklouti4, Manel Guirat2, Fatma Mejdoub2, Najla Kharrat1, Imene Boujelbene2,3, Fatma Abdelhedi2,3, Neila Belguith3,8,9, Leila Keskes3,8, Abdullah Ahmed Gibriel10, Hassen Kamoun2,3, Chahnez Triki6,7, Adel M Alimi4, Saber Masmoudi1.
Abstract
Pathogenic variants in Steroid 5 alpha reductase type 3 (SRD5A3) cause rare inherited congenital disorder of glycosylation known as SRD5A3-CDG (MIM# 612379). To date, 43 affected individuals have been reported. Despite the development of various dysmorphic features in significant number of patients, facial recognition entity has not yet been established for SRD5A3-CDG. Herein, we reported a novel SRD5A3 missense pathogenic variant c.460 T > C p.(Ser154Pro). The 3D structural modeling of the SRD5A3 protein revealed additional transmembrane α-helices and predicted that the p.(Ser154Pro) variant is located in a potential active site and is capable of reducing its catalytic efficiency. Based on phenotypes of our patients and all published SRD5A3-CDG cases, we identified the most common clinical features as well as some recurrent dysmorphic features such as arched eyebrows, wide eyes, shallow nasal bridge, short nose, and large mouth. Based on facial digital 2D images, we successfully designed and validated a SRD5A3-CDG computer based dysmorphic facial analysis, which achieved 92.5% accuracy. The current work integrates genotypic, 3D structural modeling and phenotypic characteristics of CDG-SRD5A3 cases with the successful development of computer tool for accurate facial recognition of CDG-SRD5A3 complex cases to assist in the diagnosis of this particular disorder globally.Entities:
Keywords: 3D structure modeling; congenital disorders of glycosylation; exome-clinical sequencing; facial recognition; polyprenol reductase
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Year: 2021 PMID: 33403770 DOI: 10.1002/ajmg.a.62065
Source DB: PubMed Journal: Am J Med Genet A ISSN: 1552-4825 Impact factor: 2.802