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Webinar: Biostatistics seminar – “Advancement in Understanding Psoriasis Heterogeneity in the Post-GWAS Era”
December 3, 2020, 12:00 pm to 1:00 pm
“Advancement in Understanding Psoriasis Heterogeneity in the Post-GWAS Era” will be presented by: Lam C. “Alex” Tsoi, PhD, Assistant Professor, Department of Dermatology, Department of Computational Medicine and Bioinformatics, Research Assistant Professor, Department of Biostatistics, University of Michigan.
Psoriasis is a chronic immune-mediated skin disease that has a significant impact on public health, with annual direct and indirect costs of more than $75 billion dollars in the United States. While researchers have revealed more than 65 disease susceptibility regions in Europeans, highlighting loci participating in the Th17/IL-23 and NFB axes, it is critical in the post-GWAS era to take advantages of what we have learned and acquired to facilitate the understanding of the heterogeneity among psoriatic patients, including disease comorbidities, ethnic differences, and prognosis outcome.
By utilizing the different GWAS cohorts, this research demonstrates that genomewide signals can be used to assess the risk of psoriatic arthritis among psoriatic patients; in addition, via trans-disease meta-analysis, the study team illustrates the genetic association between psoriasis and type 2 diabetes is driven by BMI, and there are also shared immunological components that contribute to the association.
In the last part of the talk, Dr. Tsoi will share recent findings demonstrating how the heterogeneity in keratinocytes NFB signaling can be responsible for the differences in disease manifestation observed between Caucasian and African American patients.
Participants may also join by calling 929-205-6099, meeting ID 322 043 373. If prmpoted, enter passcode 167660.