Nikita V. Pozdeyev

This study identifies 51 genetic loci associated with thyroid cancer through a multi-ancestry GWAS and explores pleiotropic relationships to uncover mechanistic clusters and genetic subtypes.

The paper examines the mutual exclusivity and clinical associations of germline long-telomere syndrome variants and somatic TERT promoter mutations in thyroid cancer and melanoma, finding they are mutually exclusive but have distinct clinical impacts.

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 study models the genomic architecture of adiposity and anthropometrics across the lifespan, identifying shared and distinct genetic factors and their associations with health outcomes.

Summix2 uses mixture modeling to estimate and adjust for substructure in genetic summary data, improving the robustness and equity of research using diverse datasets.

The paper describes the CCPM Biobank, a dual-purpose genomic resource linking health records and genomic data to support research and clinical applications.

SAIGE-BRUSH provides a cloud-based, user-friendly GWAS tool with parallelization and data management features, enabling non-experts to perform genome-wide association studies efficiently.