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KMID : 1150620180020010018
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Biomedical Dermatology
2018 Volume.2 No. 1 p.18 ~ p.18
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DermaGene and VitmiRS: a comprehensive systems analysis of genetic dermatological disorders
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Rahman Razia
Sharma Isha
Gahlot Lokesh K.
Hasija Yasha
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Abstract
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Background: The interaction of genetic variants and their distribution in the genome is firmly believed to contribute to genetic dermatological disorders. For the convenience of clinicians and researchers to explore such genetic variants, we identified and validated the genetic association of human SNPs with dermatological disorders through manual curation and computational analysis.
Methods: Multiple online resources were investigated for creating a comprehensive list of dermatological disorders followed by identification and manual curation of data description of the SNP?disease relationship. The process for database creation involved extensive review of published literature and relevant articles that probed association of miRNAs and SNPs with vitiligo. Furthermore, computational analysis for deleterious SNPs and polypharmacological studies was performed with an effort to provide potential novel drug candidates for optimal therapeutic interventions.
Results: We established a dedicated database on dermatological disorders, DermaGene, which proffers a user-friendly interface to enable systematic querying and analysis of SNPs associated with dermatological disorders. Based on our disease network analysis, we further extended our present work to construct another comprehensive database, VitmiRS (Vitiligo associated miRNAs and SNPs), which furnishes detailed information on each miRNA and SNP association that renders susceptibility to vitiligo. Also, our systems analysis approach unraveled potential molecular determinants that may pose as novel drug candidates and can be targeted for efficient therapeutic approaches in vitiligo treatment.
Conclusions: Both the databases are freely accessible and will serve as a significant resource providing insights into previously undiscovered disease?gene and disease?SNP relationships. Our analysis unveiled significant findings that we believe may furnish a comprehensive understanding of the biological mechanisms that mediate vitiligo disease pathogenesis, thereby, driving the way towards better therapeutic interventions for disease management.
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KEYWORD
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miRNAs, SNPs, Dermatological disorders, Vitiligo
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