Cutaneous Bioinformatics Program combines in silico discoveries and bench experiments to strengthen the analysis and translation of experiments examining the genetics and genomics of autoimmune and other skin diseases.
Our group develops novel systems biology approaches to analyze high dimensional biological and biomedical data, including work exploring shared genetic signals and their regulatory roles in psoriasis and its comorbidities. We employ single cell and spatial genomics techniques to integrate genetic information for enhanced resolution in mechanism inference.
In collaboration with dermatology colleagues, we are creating a comprehensive “-omics” data warehouse to host and analyze transcriptomics and epigenomics data being generated.
We aim to identify the biological mechanisms of disease heterogeneity in psoriatic patients from different ethnicities. Our integrative approach utilizes multi-omics data and leverages transethnic information to fine-map the genetic and genomic components associated with inter-individual inflammatory responses. We are creating a model of trans-ethnic disease disparity to provide enhanced resolution and power to identify determinants of inter-individual variations in inflammatory responses.
We supply systems biology analyses, disease- and cytokine-specific gene expression profiling, and training to support skin-related research services for the Functional Analytics Core of the UM-Skin Biology and Diseases Resource-based Center (UM-SBDRC).
We supply data management and analysis for the Immunogenomics and Systems Biology Core of the Accelerating Medicines Partnership Autoimmune and Immune-Mediated Diseases Network (AMP AIM). This multidisciplinary group of scientists seeks to identify and define shared inflammatory pathways in autoimmune diseases, and to reveal cellular and molecular factors that are unique to specific diseases.
Assistant Professor of Computational Medicine and Bioinformatics
Research Assistant Professor, Mary H Weiser Food Allergy
Research Assistant Professor, Biostatistics
Dermatology
View our publications on Cutaneous Bioinformatics.
The U-M Skin Biology and Diseases Resource-based Center (UM-SBDRC) seeks to expand the community of skin researchers.
