Big data analysis sheds light on psoriasis's genetic code
A research team from South Korea has revealed the specific mechanisms behind the onset of psoriasis by combining large-scale genomic data from more than 1.1 million people with advanced single-cell analysis technology. The team also identified a number of genes that are potential targets for new treatments.
South Korean researchers have uncovered the genetic and cellular factors behind psoriasis using big data analysis and advanced single-cell technology. Led by Professor Hong-Hee Won from Sungkyunkwan University and Samsung Medical Center, the team combined genomic data from over 1.1 million individuals with single-cell transcriptomic analysis of skin samples.
This comprehensive approach identified 125 genetic susceptibility loci linked to psoriasis, 17 of which were previously unknown. By examining the interactions between key cell types - myeloid cells, T cells, keratinocytes, and endothelial cells - the researchers pinpointed 50 potential therapeutic targets. Psoriasis, an autoimmune disease affecting about 2% of the world's population, causes red, scaly skin patches and raises the risk of other systemic conditions like arthritis and cardiovascular disease.
The study, published in Nature Communications, provides a vital foundation for developing personalized immune-modulating treatments and new drugs tailored to individual patients.
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