Ha My T. Vy

The paper establishes a global consortium to discover rare genetic associations by integrating data from multiple biobanks, identifying 514 gene-trait associations, many detectable only through cross-ancestry meta-analysis.

This paper conducts a multi-ancestry time-to-event GWAS to identify genetic variants associated with incident cardiovascular disease in people with type 2 diabetes, finding three novel loci and confirming known CAD variants.

The paper identifies four SNPs in the LILRB3 gene associated with graft failure in African American kidney transplant recipients and links them to immune-related diseases.

This study uses Mendelian randomization to identify causal effects of plasma triglycerides on 2,600 disease traits, finding 19 significant associations including cardiovascular and non-atherosclerotic diseases.

This study identifies 135 genomic loci associated with venous thromboembolism risk through cross-ancestry GWAS and provides insights into biological pathways and potential therapeutic targets.

The paper quantifies disease risk associated with 37,772 clinical variants across 72,434 individuals, revealing heterogeneity in penetrance and limitations of current variant classification systems.

The paper calculates a deleterious load score using purifying selection weights and finds strong associations with 27 medical traits in the UK Biobank.