Joanne Nititham

This study identifies genetic risk factors associated with severe psoriasis and shows that polygenic risk scores can predict severe disease outcomes better than traditional risk factors.

This study performs a GWAS meta-analysis of psoriasis, identifying 109 susceptibility loci, including 45 new ones, and highlights potential therapeutic targets and disease mechanisms.

The paper identifies two immunological subtypes of Sjögren's disease using single-cell RNA sequencing, highlighting distinct IFN-I signatures and transitional B cell characteristics.

This study uses single-cell RNA sequencing of PBMCs from RA patients and controls to identify disease-associated cell subsets and gene signatures linked to RA disease activity.

This paper identifies 13 biomarkers for rheumatoid arthritis using cross-tissue transcriptomic data and machine learning, validated across multiple datasets and showing clinical utility.

This study identifies ethnicity-specific transcriptomic subgroups in SLE patients using RNA-seq data and correlates them with disease activity.

MHC*IMP imputes alleles for MHC genes using a reference panel and SNP data, achieving high accuracy in allele prediction.