ArticleJournal of human genetics2019
Four novel mutations in EFNB1 in Indian patients with craniofrontonasal syndrome.
Article in Journal of human genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed, 7 citations in OpenAlex.
- Necrotizing Enterocolitis Due to Mesenteric Artery Thrombosis in a Patient with Craniofrontonasal Dysplasia: Casual or Causal Association?Journal of clinical medicine · 2025Article
- Craniofrontonasal dysplasia.Sudanese journal of paediatrics · 2022Article
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Craniofrontonasal syndrome (CFNS) (OMIM #304110) is a very rare, X-linked developmental disorder characterized by facial stigmata, including hypertelorism, frontonasal dysplasia, craniosynostosis, bifid nasal tip, and digital abnormalities. CFNS is caused by mutations in the Ephrin 1 gene (EFNB1) located at Xq13.1, which encodes the transmembrane protein Ephrin B1. Interestingly, heterozygous females are more severely affected than hemizygous males. We report on four individuals from four unrelated Indian families with mild-to-severe CFNS. All patients had variable degrees of hypertelorism and nasal bridge depression, which did not correlate with changes in other tissues. Although patients 3 and 4 showed the most severe facial dysmorphism and syndactyly, there were no structural CNS changes or developmental delay. In contrast, patient 1 displayed agenesis of corpus callosum and developmental delay, although facial and finger abnormalities were milder. Patients 1, 2, and 4 showed different degrees of clefting. DNA sequencing revealed four previously undescribed heterozygous mutations in exons 1 and 2 of EFNB1. Patient 1 carried the second single amino acid deletion reported up to date. The other three affected individuals harbored frameshift mutations, leading to premature termination codons. Our findings broaden the spectrum of EFNB1 mutations and illustrate the absence of an obvious correlation between mutation type, severity, and expression of symptoms.
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