Genetic and Computational
Genetic and Computational Research in our division focuses on leveraging human genetics to better understand immune-mediated rheumatologic diseases. We study both monogenic disorders, including the full spectrum of inborn errors of immunity, and genetically complex diseases such as systemic sclerosis using a range of genomic and computational approaches, including genome-wide association studies (GWAS), phenome-wide association studies (PheWAS), functional genomics, and polygenic risk scores. Study participants are enrolled through our clinical practice, and we also utilize data from large nationwide biobanks. By integrating genomic and clinical data, we aim to identify genetic etiologies, improve risk stratification, and develop novel therapeutic strategies.
