Nilanjana Banerjee

TL;DR: The release of exome-sequence data for the first 49,960 study participants, revealing approximately 4 million coding variants, illustrating the power of characterizing LOF variants in this population through association analyses across 1,730 phenotypes and demonstrating the value of genome sequencing in large population-based studies.

TL;DR: This paper used exome sequencing to explore protein altering variants and their consequences in 454,787 UK Biobank study participants and identified 12 million coding variants, including ~1 million loss-of-function and ~1.8 million deleterious missense variants.

TL;DR: In this paper, the authors report results from a genome-wide association studies (GWAS) meta-analysis of heart failure comprising 47,309 cases and 930,014 controls.

TL;DR: The first tranche of large-scale exome sequence data for 49,960 study participants is described, revealing approximately 4 million coding variants and 231,631 predicted loss of function variants, a >10-fold increase compared to imputed sequence for the same participants.

TL;DR: In this article , the authors identify a variant (rs190509934, minor allele frequency 0.2-2%) that downregulates ACE2 expression by 37% and reduces the risk of SARS-CoV-2 infection by 40% (odds ratio = 0.60, P = 4.5 × 10 − 13 ).