Literature DB >> 33368487

Genes and phenotypes in vascular malformations.

P H Hoeger1.   

Abstract

Vascular malformations (VMs) are caused by localized defects of vascular development. Most VMs are due to sporadic, postzygotic mutations, while some are the result of autosomal dominant germline mutations. Genotype-phenotype correlation is influenced by many factors. Individual genes can induce different phenotypes (pleiotropy), and similar phenotypes can be due to different genes/mutations (redundancy). The phenotypic spectrum of somatic mutations is wide, and depends on variant allele frequency, timing during embryogenesis, cell type(s) involved and type of mutation. The phenotype of germline mutations is determined by penetrance and expressivity, and is influenced by epigenetic factors (DNA methylation, histone modification) or 'second-hit' somatic mutations. Except for disorders with pathognomonic phenotypes such as Proteus syndrome or a characteristic constellation of symptoms such as CLOVES [congenital lipomatous (fatty) overgrowth, vascular malformations, epidermal naevi and scoliosis/skeletal/spinal anomalies] or PIK3CA-related overgrowth spectrum syndrome, differential diagnosis of VM is therefore difficult. It will be greatly facilitated with increasing analytic sensitivity of sequencing techniques such as next-generation sequencing. High-sensitivity molecular techniques are a prerequisite for targeted pharmacotherapy, i.e. selective therapeutic inhibition of activating mutations underlying VM, which has shown promising results in preliminary studies.
© 2020 British Association of Dermatologists.

Entities:  

Year:  2020        PMID: 33368487     DOI: 10.1111/ced.14513

Source DB:  PubMed          Journal:  Clin Exp Dermatol        ISSN: 0307-6938            Impact factor:   3.470


  1 in total

1.  RSDB: A rare skin disease database to link drugs with potential drug targets for rare skin diseases.

Authors:  Tien-Chueh Kuo; Pei-Hua Wang; Yu-Ke Wang; Chia-I Chang; Ching-Yao Chang; Yufeng Jane Tseng
Journal:  Sci Data       Date:  2022-08-26       Impact factor: 8.501

  1 in total

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