Genetic Associations and Epidemiology

Genetic associations and epidemiology examines how variation in the human genome—differences in single nucleotides, structural rearrangements, and patterns of inherited variants called haplotypes—correlates with susceptibility to disease and variation in measurable traits across populations. Large-scale genome-wide association studies have linked thousands of genetic loci to conditions ranging from type 2 diabetes to schizophrenia, while methods like Mendelian randomization allow researchers to test whether those associations reflect genuine causal relationships rather than confounding. Polygenic risk scores, which aggregate the small effects of many variants into a single predictive number, are increasingly used in clinical research, though their accuracy varies substantially across ancestry groups—a disparity that reflects both gaps in population representation within genomic databases and genuine biological differences in linkage patterns. A central open challenge is translating statistical associations into mechanistic understanding: identifying which genes a risk variant actually affects, in which tissues, and through what molecular pathways.

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Keywords

Genome-wide AssociationGenetic VariationHaplotype MappingPopulation GeneticsMendelian RandomizationPolygenic Risk Scores