Distribution of Cerebrovascular Phenotypes According to Variants of the ENG and ACVRL1 Genes in Subjects with Hereditary Hemorrhagic Telangiectasia.
Eleonora GaetaniElisabetta PeppucciFabiana AgostiniLuigi Di MartinoEmanuela Lucci CordiscoCarmelo L SturialeAlfredo PucaAngelo PorfidiaAndrea Maria AlexandreAlessandro PedicelliRoberto PolaPublished in: Journal of clinical medicine (2022)
Hereditary Hemorrhagic Telangiectasia (HHT) is an autosomal dominant disorder caused, in more than 80% of cases, by mutations of either the endoglin ( ENG ) or the activin A receptor-like type 1 ( ACVRL1 ) gene. Several hundred variants have been identified in these HHT-causing genes, including deletions, missense and nonsense mutations, splice defects, duplications, and insertions. In this study, we have analyzed retrospectively collected images of magnetic resonance angiographies (MRA) of the brain of HHT patients, followed at the HHT Center of our University Hospital, and looked for the distribution of cerebrovascular phenotypes according to specific gene variants. We found that cerebrovascular malformations were heterogeneous among HHT patients, with phenotypes that ranged from classical arteriovenous malformations (AVM) to intracranial aneurysms (IA), developmental venous anomalies (DVA), and cavernous angiomas (CA). There was also wide heterogeneity among the variants of the ENG and ACVRL1 genes, which included known pathogenic variants, variants of unknown significance, variants pending classification, and variants which had not been previously reported. The percentage of patients with cerebrovascular malformations was significantly higher among subjects with ENG variants than ACVRL1 variants (25.0% vs. 13.1%, p < 0.05). The prevalence of neurovascular anomalies was different among subjects with different gene variants, with an incidence that ranged from 3.3% among subjects with the c.1231C > T, c.200G > A, or c.1120C > T missense mutations of the ACVRL1 gene, to 75.0% among subjects with the c.1435C > T missense mutation of the ACVRL1 gene. Further studies and larger sample sizes are required to confirm these findings.
Keyphrases
- copy number
- genome wide
- magnetic resonance
- genome wide identification
- dna methylation
- risk factors
- machine learning
- magnetic resonance imaging
- intellectual disability
- autism spectrum disorder
- chronic kidney disease
- end stage renal disease
- multiple sclerosis
- computed tomography
- transcription factor
- genome wide analysis
- deep learning
- optical coherence tomography
- brain injury
- single cell
- patient reported
- functional connectivity