Julia Steinberg

The paper generates and validates genome-wide genetic data for the 45 and Up Study cohort, enhancing its utility for disease risk and precision health research.

This study uses multivariable Mendelian randomization to show that higher bone mineral density causally increases osteoarthritis risk independently of body mass index.

The paper identifies 14 genes involved in osteoarthritis using mutant mice and validates their role through functional studies and genome editing.

This study identifies molecular subgroups of osteoarthritis and develops a 7-gene classifier to stratify patients, while uncovering potential therapeutic compounds.

This study identifies 64 new genetic signals for osteoarthritis using UK Biobank data, including 52 novel loci, and highlights potential therapeutic targets with existing drugs.

This study identifies 9 new osteoarthritis loci using UK Biobank data and finds causal effects of higher body mass index on osteoarthritis.

The paper identifies 49 genes and pathways associated with osteoarthritis progression using integrative epigenomics, transcriptomics, and proteomics in human chondrocytes from OA patients.

This paper conducts a genome-wide association study on developmental dysplasia of the hip using national clinical audit data, identifying genetic loci associated with the condition and demonstrating a scalable recruitment strategy.