A New SLC10A7 Homozygous Missense Mutation Responsible for a Milder Phenotype of Skeletal Dysplasia With Amelogenesis Imperfecta

Amelogenesis imperfecta (AI) is a heterogeneous group of rare inherited diseases presenting with enamel defects. More than 30 genes have been reported to be involved in syndromic or non-syndromic AI and new genes are continuously discovered (Smith et al., 2017). Whole-exome sequencing was performed...

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Veröffentlicht in:Frontiers in genetics 2019-05, Vol.10, p.504
Hauptverfasser: Laugel-Haushalter, Virginie, Bär, Séverine, Schaefer, Elise, Stoetzel, Corinne, Geoffroy, Véronique, Alembik, Yves, Kharouf, Naji, Huckert, Mathilde, Hamm, Pauline, Hemmerlé, Joseph, Manière, Marie-Cécile, Friant, Sylvie, Dollfus, Hélène, Bloch-Zupan, Agnès
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Sprache:eng
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Zusammenfassung:Amelogenesis imperfecta (AI) is a heterogeneous group of rare inherited diseases presenting with enamel defects. More than 30 genes have been reported to be involved in syndromic or non-syndromic AI and new genes are continuously discovered (Smith et al., 2017). Whole-exome sequencing was performed in a consanguineous family. The affected daughter presented with intra-uterine and postnatal growth retardation, skeletal dysplasia, macrocephaly, blue sclerae, and hypoplastic AI. We identified a homozygous missense mutation in exon 11 of (NM_001300842.2: c.908C>T; p.Pro303Leu) segregating with the disease phenotype. We found that transcripts were expressed in the epithelium of the developing mouse tooth, bones undergoing ossification, and in vertebrae. Our results revealed that SLC10A7 is overexpressed in patient fibroblasts. Patient cells display altered intracellular calcium localization suggesting that SLC10A7 regulates calcium trafficking. Mutations in this gene were previously reported to cause a similar syndromic phenotype, but with more severe skeletal defects (Ashikov et al., 2018;Dubail et al., 2018). Therefore, phenotypes resulting from a mutation in can vary in severity. However, AI is the key feature indicative of mutations in patients with skeletal dysplasia. Identifying this important phenotype will improve clinical diagnosis and patient management.
ISSN:1664-8021
1664-8021
DOI:10.3389/fgene.2019.00504