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An analysis of T cell receptor occurrence patterns that accounts for MHC restriction reveals striking imprints of common viral pathogens and patterns of TCR-HLA sequence covariation in a large human cohort.

Combining parasite genetic and human mobility data can provide detailed information on local and cross-border connectivity, allowing programs to strengthen local and regional coordination for successful elimination of malaria.

New tools for visualizing population genetic data can provide a more direct understanding of levels of differentiation among human populations.

Neural networks allow fast and accurate prediction of individual spatial locations from genotypes or sequencing data.

By comparing gene expression in people before and after they received the influenza vaccine, researchers were able to identify genes that contribute to differences in individual responses to vaccination.

Body mass index and adipose distribution have opposing and broad effects on human blood trait variation by Mendelian randomization analysis, helping to clarify the complex interplay between cardiometabolic traits and hematopoiesis at the genetic level.

Human mobility drives malaria importation within countries and threatens elimination interventions, but can be measured using new approaches that combine parasite genetics, mobile phone data, travel surveys and models.

Re-analysis of large gene expression datasets with state-of-the-art quantification methods reveals additional candidate genes mediating complex trait associations.

Longstanding eco-evolutionary theories are tested using shotgun metagenomic data from the human gut microbiome, showing links between community diversity and the evolutionary trajectory of a focal species within the community.

Genetic integration of human protein abundance variation and COVID-19 susceptibility identifies proteins with potential causal roles in antiviral responses, coagulation, cytokine activation, and direct receptor interactions with SARS-CoV-2.