This module introduces how biobanks fuel clinical discovery through the intuitive "Recipe Box" model. Just as a recipe box stores ingredients and instructions for future use, a biobank stores biospecimens and patient data that researchers draw on to develop new treatments. The module covers what a biobank is and why it matters, how biobank data supports personalized medicine, a real-world case study tracing a biobank finding into a TMU clinical trial, and the phases and ethical foundations of clinical trials — including informed consent and lessons from the Tuskegee Syphilis Study.

This module introduces the logic of gene mapping through the intuitive "Train Car" model. Picture two loci as passengers on a train: those seated in the same car tend to stay together as the train shuffles cars along the way, while those placed in distant cars are easily separated. This simple picture of distance and separation is what the recombination fraction (θ) actually measures. Building on this model, the module shows how family-based linkage analysis uses inheritance patterns to narrow down where a disease locus sits on a chromosome, and how association analysis and linkage disequilibrium (LD) are then used to fine-map that region down to a single causal variant. By the end of this module, learners will be able to explain what θ represents, distinguish linkage from linkage disequilibrium, and judge whether an observed marker-disease association is likely direct or indirect.