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A genetic study of hereditary gingival fibromatosis patients by regulatory network analysis connecting exomic variants and transcriptomic alterations
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Molecular and Genetic Medicine

ISSN: 1747-0862

Open Access

A genetic study of hereditary gingival fibromatosis patients by regulatory network analysis connecting exomic variants and transcriptomic alterations


Joint Event on 5th International Conference on Human Genetics and Genetic Diseases & 11th International Conference on Genomics and Pharmacogenomics

September 21-22, 2018 | Philadelphia, USA

Jae Hoon Lee

Yonsei University, Korea

Posters & Accepted Abstracts: J Mol Genet Med

Abstract :

Hereditary gingival fibromatosis (HGF) is a rare oral disease characterized by either localized or generalized gradual, benign, non-hemorrhagic enlargement of gingivae. Although several genetic causes of HGF has been known, genetic etiology of HGF from the non-syndromic and idiopathic entity is still uncertain. Here, we analyzed exomic and transcriptomic alterations from the familial-case study of idiopathic HGF patients and non-diseased persons. Our regulatory network analysis finds that exomic variants and differentially expressed genes were connected by the member of TGF-β/SMAD signaling pathway or craniofacial development processes, which explain molecular mechanism of fibroblast overgrowth mimicking HGF and distinctive face that is comorbid cases of HGF, respectively. Moreover, a data-mining resource of gene-phenotype mapping and semantic analysis of disease phenotype similarity support that genes derived from our network analysis have pathogenic roles in fibromatosis-related and craniofacial diseases. Our study suggests that the computational approach of connecting exomic and transcriptomic alteration through the regulatory network is applicable for the clinical interpretation of genetic variant in HGF patients.

Biography :

E-mail: jaehoon115@yuhs.ac

 

Google Scholar citation report
Citations: 3919

Molecular and Genetic Medicine received 3919 citations as per Google Scholar report

Molecular and Genetic Medicine peer review process verified at publons

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