Anne C Barton

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.

BBmix improves genotype calling from RNA-sequencing by modeling RNA-specific biases, achieving higher accuracy in heterozygous calls compared to existing methods.

This study conducts a trans-ancestry GWAS of rheumatoid arthritis, identifying 124 loci, 34 novel, and shows improved polygenic risk score performance across populations.

The paper introduces a method to reduce dimensions of GWAS summary data for related traits, identifying genetic risk patterns and enabling functional characterisation of components.

The paper identifies a differentially variable DNA methylation signature in rheumatoid arthritis discordant monozygotic twins, suggesting epigenetic variability contributes to autoimmune disease.