The search of SNP associated with moderate-to-severe and severe psoriasis apremilast therapy outcome
https://doi.org/10.25557/2073-7998.2020.10.56-57
Abstract
Psoriasis is a chronic inflammation skin disease with complex genetic architecture that affects approximately 2% of the world population. The condition is characterized by abnormal keratinocyte hyperproliferation and differentiation related to a dysregulated immune system governed by a pro-inflammatory cytokine network. The accumulating data of psoriasis associative studies reveals significant number of SNPs located in genome sites related with immune system. A review of sources available allowed the selection of potentially significant for psoriasis occurrence and development SNP set, includes 84 markers. SNP determination has been carried out by a combination of high-performance genotyping on Illumina microchips and computer imputing. The differences in three SNPs rs12307915, rs2227473 and rs744166 were found in patient groups with different apremilast therapy outcome, paving the way to the development of predictive psoriasis therapy approaches.
About the Authors
D. A. Verbenko
State research Center of Dermatovenereology and Cosmetology of Russian ministry of Health
Russian Federation
Russian Federation
A. E. Karamova
State research Center of Dermatovenereology and Cosmetology of Russian ministry of Health
Russian Federation
Russian Federation
O. G. Artamonova
State research Center of Dermatovenereology and Cosmetology of Russian ministry of Health
Russian Federation
Russian Federation
D. G. Deryabin
State research Center of Dermatovenereology and Cosmetology of Russian ministry of Health
Russian Federation
Russian Federation
A. A. Kubanov
State research Center of Dermatovenereology and Cosmetology of Russian ministry of Health
Russian Federation
Russian Federation
References
1. Catalog of published Genome Wide Association Studies - http://genome.gov/gwastudies, http://www.ebi.ac.uk/gwas/
2. Aggarwal S., Nayek A., Pradhan D., et al. dbGAPs: A comprehensive database of genes and genetic markers associated with psoriasis and its subtypes. Genomics, 2018; 110(4): 240-247. doi:10.1016/j.ygeno.2017.10.003
3. Tsoi L.C., Stuart P.E., Tian C., et al. Large scale meta-analysis characterizes genetic architecture for common psoriasis associated variants. Nat Commun. 2017; 8: 15382. doi: 10.1038/ncomms15382
4. Das S., Majumder P.P., Chatterjee R., Chatterjee A., Mukhopadhyaya I. A powerful method to integrate genotype and gene expression data for dissecting the genetic architecture of a disease. Genomics, 2019; 111 (6):1387-1394 doi.10.1016/j.ygeno.2018.09.011
5. Kara S., Pirela-Morillo G.A., Gilliam C.T., Wilson G.D. Identification of novel susceptibility genes associated with seven autoimmune disorders using whole genome molecular interaction networks. J Autoimmun. 2019; 97: 48-58. doi: 10.1016/j.jaut.2018.10.002.
Review
For citations:
Verbenko D.A., Karamova A.E., Artamonova O.G., Deryabin D.G., Kubanov A.A. The search of SNP associated with moderate-to-severe and severe psoriasis apremilast therapy outcome. Medical Genetics. 2020;19(10):56-57. (In Russ.) https://doi.org/10.25557/2073-7998.2020.10.56-57
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